Next Article in Journal
Linear MHD Waves in a One-Dimensional Flux-Sheet Magneto-Lattice
Next Article in Special Issue
Bridging Material Design and Intelligent Systems in Low-Dimensional Materials for Electronics and Sensing
Previous Article in Journal
Phase-Field Simulation of Void Evolution Under Irradiation: A Reaction–Diffusion Model
Previous Article in Special Issue
Enhanced Performance of Fluidic Phononic Crystal Sensors Using Different Quasi-Periodic Crystals
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Metal–Organic Frameworks as Materials for Applications in Sensors for Toxicants

1
N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Leninsky prospect 47, Moscow 119991, Russia
2
Chemistry Department, Moscow State University, Leninskie Gory 1, bldg. 3, Moscow 119992, Russia
*
Author to whom correspondence should be addressed.
Crystals 2026, 16(5), 279; https://doi.org/10.3390/cryst16050279
Submission received: 21 October 2025 / Revised: 25 February 2026 / Accepted: 26 February 2026 / Published: 22 April 2026

Abstract

Application of porous coordination polymers (PCPs), which include metal–organic frameworks (MOFs) and covalent organic frameworks (COFs) in sensors for detection of toxicant pollutants in water is discussed. Particular attention is given to electrochemical and photoluminescent sensors because PCPs/MOFs demonstrate good selectivity towards adsorption of molecules in combination with outstanding luminescent properties and electroconductivity in composite materials. The use of PCPs/MOFs as pre-concentrators of the compounds to be analyzed is also outlined. The review covers the results described in the literature over the past 5 years in such diverse fields as the determination of metal ions and anions, drugs, mycotoxins, pesticides, explosives, bacteria, etc. Thus, the review demonstrates the proliferation of MOF applications and the universal nature of sensors based on them.

1. Introduction

Porous coordination polymers (PCPs) are crystalline or mesocrystalline coordination polymers composed of organic linkers and organic (PCPs, COFs) or inorganic nodes (MOFs) [1]. They represent a class of micro-mesoporous polymer materials with designed physical and chemical properties. About 10,000 papers that are related to PCPs have appeared annually since the first publication in 1989. Omar Yaghi coined the term MOF [2]. Later, a new and special class of metal–organic frameworks was prepared on the basis of imidazolate building units that are somewhat similar to zeolites and which are named zeolitic imidazolate frameworks ZIFs (Zeolitic Imidazolate Frameworks) [3,4].
The modular nature (a combination of inorganic and organic components) [5,6,7] of PCPs is ideal for designing the structures and functions of these materials so as to make them suitable for specific applications. The most outstanding feature of PCPs is their extremely high porosity. The length of ligands and the nature and coordination of inorganic building blocks determine the geometry of pores, with sizes ranging from 0.4 nm to about 5 nm. The large pores can accommodate bulky molecules like polysaccharides and proteins [8]. Some illustrative examples of PCP structures that are most interesting from the point of view of their application in sensors are presented in Figure 1. The molecular sieve effect can be used in sensors based on PCPs.
PCP materials with a high hydrothermal and thermal stability, of up to 400–450 °C, are known in the field. The porosity determined as the values of the specific surface areas of PCPs extends from a few m2/g to over 5500 m2/g (5640 m2/g for MOF-177 [9] and 5900 m2/g for MIL-101 [10]. The maximum predicted surface areas may reach up to 15,000 m2/g [11].
Figure 1. Structures of selected PCP (MOF) materials: (a) HKUST-1 (MOF-199). Reprinted with permission from [12]. (b) MOF-177. Reprinted with permission from [13]. (c) MIL-53 (Cr). Reprinted with permission from [13]. (d) MIL-[Cr3OF(bdc)3]. Reprinted with permission from [14]. (e) ZIF-8. Reprinted with permission from [15]. (f) JUC-48 [Cd3(BPDC)3(DMF)] 5DMF 18H2O. Reprinted with permission from [16].
Figure 1. Structures of selected PCP (MOF) materials: (a) HKUST-1 (MOF-199). Reprinted with permission from [12]. (b) MOF-177. Reprinted with permission from [13]. (c) MIL-53 (Cr). Reprinted with permission from [13]. (d) MIL-[Cr3OF(bdc)3]. Reprinted with permission from [14]. (e) ZIF-8. Reprinted with permission from [15]. (f) JUC-48 [Cd3(BPDC)3(DMF)] 5DMF 18H2O. Reprinted with permission from [16].
Crystals 16 00279 g001
The chemistry and methodology of synthesis of PCPs are presented in a number of recent reviews, for instance [17,18,19,20]. Post-synthetic functionalization of PCPs, including the approaches of “click chemistry”, is rationalized by S. Cohen et al. [21,22]. A variety of functional groups can be introduced in PCPs by using the methodology of organic syntheses (amino, amido, mercapto groups, etc.). Some of these functional groups improve the stability of PCPs or increase the adsorption of analytes by sensor materials. Diverse nanocomposite materials based on PCPs, including host–guest assemblies, membranes (ceramic or mixed matrix membranes), and core–shell structures attract special interest as potentially efficient sensor materials [23].
The nature of coordination polymers or metal–organic frameworks governs their physical properties, including magnetic susceptibility, conductivity, and the optical characteristics that are essential for sensor applications. Over 70,000 MOFs have been synthesized and their structure has been established [24,25,26]. In MOFs, the most widely used metal ions are Cu(II), Mn(II), Zn(II), Ni(II), and lanthanides. The percent of free volume inside PCPs with respect to the overall volume reaches 91.1% in IRMOF-16 (organic linker, tetraphenyl-5,5-dioctylcyclopentadiene (TPDC)), most zeolites have no more than 30–40% of their overall volume accessible [27]. An important advantage of PCPs over traditional sorbents is the uniformity of the pore size. The shape of pores in PCPs can be varied [28]. While zeolites typically have cylindrical, elliptical and slit pores, PCPs can also have square, rectangular, and triangular pores [29,30,31]. This diversity of pore geometries is important for selective sensing [32,33,34,35].
D. De Vos and coauthors [36], while studying adsorption of linear and branched molecules in a Cu-based MOF, found the “molecular recognition” effect of MOF, i.e., the predominant adsorption of certain isomers over others, for instance, p-dichlorobenzene compared with m-dichlorobenzene. It is clear that the opportunities provided by this new class of hybrid inorganic–organic material in sensors are unique, as the choice of the organic linker and inorganic nodes provides the possibility to tune the textural parameters and design of the structure for a particular sensor application (Figure 2) [37].
PCPs can be applied as either optical (luminescence) [38,39,40,41] or electrochemically active sensor materials based on the variation in the electroresistivity due to adsorption on the surface of the electroconductive material (e.g., SnO2) modified with PCP [42,43]. A number of publications have considered the detection of contaminants in the environment, with some of these papers discussed in a review [44]. In this review, we will focus on the most impressive sensing applications of PCPs and MOFs towards different classes of analytes published mainly in the last 5 years. The biosensors based on PCPs and MOFs have also been reviewed by Lei et al. [37].

2. Luminescent PCP/MOF Materials

Luminescent methods for studying materials are relatively cheap, ergonomic, and provide reliable information about the electronic structure of substances. They have high sensitivity and selectivity. The studies of the properties of PCPs applied in sensors include their luminescence, such as the quenching of Zn(BDC) MOF luminescence after adsorption of ethylamine [45,46]. The emission band at 446 nm was attributed to the fluorescence from intra-ligand emission excited states. Such d10 metals as Zn+2 or Cd+2 are of particular interest, because they exhibit strong fluorescence.
Four-fold catenated diamondoid Zn(II) urocanate (4/5-imidazoleacrylate), having one-dimensional pores, exhibits strong blue fluorescent emission at 499 nm [47]. A similar composition, Zn(II) imidazole-4,5-dicarboxylate, having a helical structure, demonstrates a strong luminescence at 420 nm [48]. MOFs prepared using Zn ions and 2,2′-diimidazole-derived dicarboxylate anions [49] show fluorescence at 414 nm. The optical properties of Zn MOFs are also considered in [50].
The interesting feature of PCPs and MOFs is their ability to change their structure upon adsorption of specific molecules [51]. The interpenetrated framework can adopt the most suitable conformation to maximize the overall binding interactions with the analyte. In such a case, the emission band position is determined by the strength of the host–guest charge transfer interaction. The band gap of PCPs and MOFs can be tailored to absorb visible light via the substitution of oxygen in their frameworks for sulfur and selenium [52]. Porous coordination polymers also demonstrate the so-called breathing effect upon adsorption of certain molecules [53].
The luminescent properties of Cd(II) are similar to Zn(II) in the MOF materials. MOF structures containing rigid Cd(II) and Zn(II) tricarboxylates and flexible imidazolates [54] show fluorescence at 425 nm due to π*-π transitions in the ligands. The luminescence of binuclear and pentanuclear (adipic acid and triazole derivatives) Cd(II)-MOFs has been reported [55,56]. The ligand-to-metal charge transfer emission at 364 nm and 460–495 nm was observed for Cd-MOF based on cyclohexanetricarboxylate and pyrazinedicarboxylate [57,58].
Lanthanide-based MOFs are luminescent materials suitable for sensor applications. Dy and Sm pyridinedicarboxylates [59] demonstrate 3–4 emission bands with maxima in the ranges 480–623 nm for Dy and 560–710 nm for Sm. Eu- and Tb-containing MOFs exhibit strong photoluminescence peaks at 580–695 nm (Eu) and 490–620 nm (Tb) [60,61].
The luminescence of Pb-pyridineacrylate was found [62] to result in two emission bands at 418 and 438 nm due to charge transfer. Phosphorescence of MOFs containing Pb(II), Co(II), Ni(II) pyridinedicarboxylates has also been explored (the red-shifted band at 475 nm for Pb-MOF) [63].
Some Ag-PCP materials with pyrimidine linkers revealed [64] luminescence with the emission bands at 327–360 nm assigned to the optical properties of the organic ligands. [Zn2(bpdc)2(bpee)]2DMF (bpdc = 4,4′-biphenyldicarboxylate; bpee = 1,2-bipyridyle thylene) was modified with AgNO3 for the sensing of olefins via the luminescence of silver ions [65].
The JUC-48 material, Cd3(bpdc)3(DMF)] 5DMF 18H2O, or JUC-48 complexed with xanthene Rh6G die, showed good luminescent properties [66,67]. A comprehensive review of the luminescent properties of PCPs/MOFs is presented by Cui et al. [68]. In most cases, composite materials containing PCPs or MOFs as matrices or hosts are studied.
Some of the MOF-based materials demonstrated a multi-targeted sensing activity in the fluorescence mode of operation. Two MOFs were synthesized from 2,6-bis(1-imidazolyl) naphthalene and two different transition metal ions: [Cd(L)(HBTC)] and [Cd(L)(HTTC)]⋅1.5H2O (L-2,6-bis(1-imidazolyl)naphthalene, HTTC-3,5-bis(p-carboxyphenyl)benzoic acid [69]. The materials demonstrated high sensitivity and selectivity towards Fe3+, CrO42−, Cr2O72−, acetone, and nitroimidazole antibiotics present in water.
Similarly, Hasi et al. developed luminescent Cd(II) complexes [Cd(HL)(4,4′-bipy)(H2O)]n and Cd(II)-MOF, {[Cd3(L)2(bip)2(H2O)3]⋅5H2O}n containing rigid tricarboxylic acid ligands (H3L = 3-[(1-carboxynaphthalen-2-yl)oxy]phthalic acid, 4,4′-bipy = 4,4′-bipyridine, bip = 1,4-di(pyridine-4-yl) benzene) for sensing metal cations, inorganic anions, and organic solvents [70]. Among the analytes studied, a range of inorganic and organic molecules should be noted: Ag+, Cr2O72−, CrO42−, nitrobenzene, and nitromethane. The fluorescence quenching caused by the presence of these analytes is explained by weak interactions, competitive energy absorption and electron transfer.

3. Electrochemical Sensors Based on PCPs/MOFs

The other type of sensors is based on semiconducting PCPs or MOFs containing semiconducting Zn, In, W, Sn and Ti oxides or organic semiconducting components, with electroresistivity or electroconductivity as a measurable parameter. A great deal of papers are related to the electrochemical sensors based on bulk oxides (ZnO, SnO2, In2O3) [71,72], but the number of papers focused on PCP-containing electrochemical sensors is limited, because most PCPs are insulators. A. Corma et al. [73] reported the semiconductor properties of Zn-MOF-5. Several recent papers have demonstrated that some other PCPs/MOFs are capable of manifesting a sufficient electroconductivity [74,75,76,77], such as HKUST-1 and Cu3(btc)2, containing adsorbed molecules of TCNQ (7,7,8,8-tetracyanoquinodimethane).
Electrocatalysts representing metal nanoparticles supported on PCPs/MOFs may be applied in sensors. An Au-SH-SiO2@Cu-MOF on glassy carbon demonstrated electrocatalytic activity in the oxidation of hydrazine in a neutral phosphate solution [78]. This material showed a low detection limit, improved sensitivity, and enhanced stability. A similar material was considered for electrocatalytic oxidation and determination of L-cysteine [79]. The detection limits were estimated at 8–10 nM for both analytes.
Y-doped MOF-5 was applied as a sensor material for cataluminescence detection [80] of isobutanol with a detection limit of 3.7 mg L−1.
For an MIL-101-carbon paste electrode, an increased electrocatalytic activity with respect to the oxidation of dopamine and uric acid was found with oxidative potentials of 218 mV (dopamine) and 336 mV (uric acid) [81].
The use of PCPs and MOFs in electrochemical sensors can be enhanced by the use of their composites with conducting materials (indium or tin oxides, carbon nanotubes, etc.). Nanocomposites of multi-walled carbon nanotubes and Cu3(BTC)2 were tested for their ability to sense traces of lead in water with differential pulse anodic stripping voltammetry using the lab-on-valve operation [82]. The detection limit was claimed to be extremely low (0.79 nM).
Some of the MOF-based materials demonstrated a multi-targeted sensing activity in the electrochemical mode of operation. For instance, R. Fischer’s group designed a new porphyrinic metal–organic framework (PP-MOF) by supporting Mn-PCN-222 on indium tin oxide [83]. The voltammetric sensor is capable of detecting redox active analytes, including inorganic ions (Cr2O72−), heavy metal ions (Cu2+, Cd2+), organic pollutants (nitroaromatics, phenols, quinone-hydroquinones), biological species (ascorbic acid, uric acid), and azo dyes.
Zhang et al. have reported simultaneous detection of several metal ions (Cd2+, Pb2+, and Hg2+) and herbal medicines in water using a methylene blue-functionalized metal–organic framework, UiO-66-NH2, combined with multi-walled carbon nanotubes [84]. The low detection limits were 11.08 nM for Cd2+, 5.47 nM for Pb2+, and 6.42 nM for Hg2+.

4. Other Methods of Sensing

Another method of sensor operation is based on the detection of the response of magnetic properties of PCPs sensitive to host–guest interactions, temperature, and the presence of adsorbed molecules. Cu3(PTMTC)2(py)6(CH3CH2OH)2(H2O) (MOROF-1), having large pores (2.8–3.1 nm) and magnetic ordering, exhibits a reversible and selective analyte-induced ‘shrinking–breathing’ effect, changing the magnetic properties of MOF; this type of magnetic sponge-like behavior may be used in magnetic sensors [85].
The gravimetric method of sensing based on the use of a nanoporous material supported on the surface of a quartz resonator (piezoresistive cantilever) is efficient for sensing molecules in the gas phase, but this method can hardly be used for sensors of molecules in solutions [86,87,88]. Beyond the microcantilever method of sensing, other mechanical methods can be used, such as a quartz crystal microbalance, a microresonator, and surface acoustic wave sensors coated with PCP thin layers capable of enhancing the adsorption of the gas to be analyzed [89,90]. However, these methods cannot be used for sensors of analytes in solutions.
Some metal nanoparticles (Au, Ag), when supported on PCPs or MOFs, can demonstrate absorption bands in the UV–visible range due to the surface plasmon resonance, and the positions and intensities of these bands are sensitive to the interaction with molecules that can be strongly adsorbed on such metal nanoparticles [91]. Additionally, the method based on monitoring the changes of the refractive index of PCP upon adsorption of molecules can be used for sensing [92].
Table 1 summarizes the different types of chemical analytes that have been investigated in the literature using PCP materials in sensor applications. The table includes cations, anions, inorganic molecules, organic molecules, including explosives and phosphor-organic chemicals like Vx gases.

5. Detection of Metal Ions

Sensors to determine the presence of lead, cadmium, chromium, copper, and other toxic metal ions in water are in high demand. A recent review [93] summarizes the latest achievements in this field and provides a comparison of diverse MOF-based materials for sensing metal ions.

5.1. Lead Detection

Jain et al. developed a carbon quantum dot metal–organic framework-based catalytic nuclei acid fluorescent system for the highly sensitive and selective detection of Pb2+ in aqueous solutions [94]. The authors used a DNAzyme system that is active only in the presence of lead(II) ions. The main components of the material are boron- and nitrogen-containing carbon dots with carboxyl functionalized Tb-MOF as a fluorescent agent and the quencher-modified catalytic NH3-GR5 DNAzyme as a bioreceptor species. The systems demonstrate dual fluorescence with emission in the blue and green regions. This biosensor is characterized by the low detection limit of Pb2+ of 0.96 ppb in a broad detection range of 2 to 1000 nM.
NH2–Cu3(btc)2 was applied to modify electrodes for the detection of lead. Zn4O(BDC)3 supported on a carbon paste electrode was used for lead detection by differential pulse stripping voltammetry [95]. The detection limit was 4.9 × 10−9 mol L−1.
Olorunyomi et al. [96] used NH2-UiO-66 modified with gold nanoparticles (1.4 wt % Au) and thiol-functionalized carbon dots by imitating metal–protein interactions to reach high sensitivity and selectivity to Pb2+ ions by using a fluorescence method of sensing. The composites demonstrated an extremely high sensitivity to Pb2+. A limit of detection of 80 parts per trillion (ppt) was reached, and the material was tested for five cycles. Surprisingly, the fluorescence response of the material can be reversed from emission quenching to enrichment by varying the Au content.
Detection of trace lead ions in water was studied using substitution-triggered chemiluminescence enhancement with Cu-MOF-74 [97]. Pb2+ ions replace Cu ions in Cu-MOF-74 and the released Cu ions amplify the chemiluminescence emission of the luminol–hydrogen peroxide component. A linear range of 0.5–50 nM and a detection limit of 0.3 nM were determined for this system.
3D printed composite of UiO-66-NH2 with rGO as a fiber electrochemical sensor [98] showed excellent Pb2+ sensing activity with enhanced conductivity and demonstrated a rather low detection limit of 0.041 μM.
Liu et al. proposed the simultaneous detection of cadmium and lead ions [99]. The amino-functionalized Bi-containing material, NH2-Bi-MOF, in combination with graphene aerogel, was prepared by ultrasonic deposition. The developed electrochemical sensor demonstrated excellent sensitivity with good accuracy and repeatability.
Another option for electrochemical sensors of Cd2+ and Pb2+ ions has been developed by Zheng et al. [100]. The two-dimensional material developed by the authors was a composite of polyvinylpyrrolidone/graphene and iron-based metal–organic frameworks manufactured by the ultrasonic method. The composite demonstrates enhanced conductivity and a high specific surface area. The simultaneous detection of Cd2+ and Pb2+ ions is characterized by linear ranges of 0.030–1.0 μmol/L for Cd2+ and 3.0 nmol/L−1.0 μmol/L for Pb2+, whereas the limits of detection for these metal ions were 10 nmol/L and 1.0 nmol/L, respectively.

5.2. Copper Detection

A novel Zr−tetraphenylporphyrin tetrasulfonic acid hydrate metal−organic framework (ZTM) was synthesized for the detection of lead and copper in water samples [101]. The material demonstrated strong red fluorescence with the quantum yield reaching 12.22%. Furthermore, the authors designed a ratiometric fluorescent probe by adding green fluorescein isothiocyanate to the material to avoid environmental interferences. The fluorescence emission from MOF at 667 nm was found to be quenched and the fluorescence emission from fluorescein at 515 nm was enhanced, as a result, the color changed from red to green under UV irradiation, depending on the concentration of copper(II) ions in the solution. This fluorescent probe is characterized by the linear detection ranges of 0.1 to 5 μM and 5 to 50 μM and the low detection limit of 5.61 nM.
A composite UIO-66@FS represents the dye fluorescein sodium molecule (FS) with a metal–organic framework. UIO-66 exhibits fluorescence emission with the quantum yield of 62.03%. It was applied for the detection of Cu2+ ions in aqueous media. The fluorescence is quenched by Cu2+ ions. The system has the advantages of high selectivity, excellent sensitivity, fast response, wide linear range (2.5 μM–500 μM), and low detection limit (0.246 μM) [102].
A porphyrin-based metal–organic framework Al-TCPP (H2TCPP-meso-tetrakis (4-carboxyphenyl) porphyrin) has been proposed by Liu et al. for the selective sensing of copper ions by monitoring the fluorescence intensities of two emission peaks at 467 and 646 nm, with the latter band being quenched in the presence of copper ions [103]. An extremely low limit of detection was found at 5.28 nM, one of the lowest reported values for Cu2+ sensors. The charge transfer from TCPP ligands to Cu2+ ions was confirmed by MAS NMR and XPS methods. The sensors (paper strips) were used to determine the copper contents in samples of water, tea and serum.
Copper and iron ions in water can be detected simultaneously using a luminescent lanthanide-functionalized hydrogen-bonded organic framework hydrogel, Tb and Zn-functionalized hydrogen-bonded organic framework (HOF) as the fluorescence functional core, and sodium alginate as the hydrogel matrix [104]. Limits of detection of 1.275 μM for Cu2+ and 0.549 μM for Fe3+ were reported. The material was applied for the detection of these ions in river water samples. The authors considered disruption of the “antenna”, absorption competition quenching, and ion exchange as the main mechanisms resulting in the fluorescence quenching.

5.3. Cerium Detection

A novel two-dimensional chain material with excellent chemical and thermal stability, based on Eu-MOF [Eu2(tcpa)(Htcpa)2], was prepared from 3,4,5,6-tetrachloro-1,2-benzenedicarboxylic acid (H2TCPA) and Eu nitrate. Upon UV excitation (292 nm), four fluorescence emission bands were visualized at 420, 595, 620 and 705 nm, with the first band intensity enhancing with the addition of cerium ions, and that at 620 nm was quenched [105]. The material demonstrates a good linear relationship in the range of 0.05–15 μM and a detection limit of 16 nM. The mechanism of the Ce3+-quenching effect for Eu-MOF fluorescence is the inner filter effect.

5.4. Mercury Detection

A very selective and sensitive Hg2+ ion electrochemical sensor based on a composite of silver nanoparticles with zinc benzenedicarboxylate was prepared by drop-casting the Ag@ZnBDC material onto a glassy carbon electrode. The cyclic voltammetry and differential pulse voltammetry were used for sensing mercury ions at the concentration of 1 μM. The limit of detection was found to be 4.16 nM in the linear range of 1–10 nM [106].
A composite containing blue fluorescent carbon dots, red fluorescent InP/ZnS quantum dots, and ZIF-8 was designed and used for the visual detection of Hg2+ ions and cysteine. The composite provides a limit of detection of 8.68 nM for Hg2+ ions and 37.96 nM for cysteine [107].

5.5. Iron Detection

A hybrid lanthanide metal–organic framework based on porphyrin was designed for the detection of iron ions [108]. The material is characterized by a low detection limit (0.3 μM) and a wide linear range (1–90 μM), which meet the requirements of water quality monitoring.
Mao et al. [109] proposed a multifunctional fluorescence sensor on the basis of a Zn(II) metal–organic framework prepared from zinc nitrate and pyridine-2,5-dicarboxylic acid for the fast and sensitive detection of Fe3+ and Al3+ ions in aqueous solutions by fluorescence quenching. The limits of detection of Fe3+ and Al3+ ions were found to be 0.18 μM and 0.064 μM, respectively. The mechanism of the Zn-MOF response was found to be based on the inner filter effect.
He et al. [110] proposed a Eu3+ in-situ functionalized Gd-BTC material for selectively detecting acetone and Fe3+ ions in aqueous solutions by the fluorescence method. A quenching effect was observed in response to both analytes, with a detection limit as low as 6.8 × 10−6 M. The energy absorption competition between the Eu3+ luminescence centers and the analytes was considered as the mechanism behind the quenching effect.
A fluorescent ZIF-90@FSS material was designed by combining ZIF-90 with sodium fluorescein [111]. In the range of 0–150 ng/mL, a low detection limit of 0.26 ng/mL was demonstrated. The probe was tested using actual samples and living cells. The time of analysis was about 2 min.
There are examples of using MOF materials for detecting several metal ions. For instance, MOF-808(Zr) and MOF -808(Zr)-2D carbon nanocomposites were evaluated for their electrochemical sensing of Cu, Cd, Pb, and Hg ions [112].

5.6. Cadmium Detection

A Ca-MOF was proposed as an electrochemical sensing material with an LOD of 640–1400 μg/L using the anodic stripping voltammetry method [113]. An electrochemical detector based on graphite paste modified with Ca-MOF was manufactured and tested. This sensor detected not only Cd, but also Pb, Cu, Zn ions with a very low LOD of 0.64–1.4 mg/L.
A new MOF material modified with ferrocenecarboxylic acid on thermally reduced graphene oxide (trGNO/Fc-NH2-UiO-66) turned out to be even more efficient with LOD as low as 8.5 × 10−3 using ratiometric electrochemical sensing [114]. The sensor can be used for simultaneous detection of Cd2+, Pb2+, and Cu2+ ions. The LOD values of the electrochemical detector were found to be 0.8 nM for Cu2+, 0.6 nM for Pb2+, and 8.5 nM for Cd2+.
UiO-66 materials modified with ethylenediamine and polyaniline capable of coordinating heavy metal ions via amino groups were found to show excellent selectivity to Cd2+ ions with the possibility to simultaneously detect Cd2+, Pb2+, and Cu2+ ions [115,116,117].
Zn-MOF was also able to sensing cadmium ions via the fluorescence method and the LOD value of 5 × 10−8 M was determined [118].

6. Small Molecules as Analytes

MOF UiO-66-NH2 was used to create a sensor for ammonia in aqueous solutions. The UiO-66 MOF consists of Zr6O4(OH)4(CO2)12 clusters and 2-aminoterephthalic acid (BDC-NH2) linkers. The voids of this MOF can be easily filled with an internal reference molecule, oxazine perchlorate derivative ((5E)-N-Ethyl-9-(ethylamino)-10-methyl-5H-benzo[a]phenoxazin-5-iminium perchlorate), for more reliable quantification of the ammonia content. When excited with UV light at 360 nm in the presence of ammonia, the sensor produces fluorescence at 429 and 652 nm, and the fluorescence intensity at 652 nm for the internal reference molecule remained unchanged. The fluorescence intensity at 429 nm gradually increased with the increase of aqueous ammonia concentration. The detection limit of ammonia was 83.5 nM. The comparison of the specific surface areas of UiO-66-NH2 and UiO-66-NH2 modified with oxazine perchlorate derivative, 1224.6 m2/g and 830.8 m2/g, respectively, proved that the voids in UiO-66-NH2 were partially filled with oxazine perchlorate derivative [119].
A photoelectrochemical (PEC) sensor based on a modified NH2-UiO-66@Bi2O3 photoelectrode matrix is developed for the detection of H2S. After reaction with H2S, Bi2O3 is transformed on the photoelectrode surface into Bi2S3, which has excellent absorption capacity for visible light and opens a new pathway for electron-hole separation, thereby causing effective photocurrent enhancement. It is important to note that the PEC sensor, being highly sensitive and simple, exhibits a wide linear response range in the H2S concentration changing from 2.5 μM to 100 μM with a detection limit of 0.78 μM [120].
Peracetic acid is extensively used for decontamination of medical devices and agricultural tools, as a decolorizing agent in the textile industry, therefore, peracetic acid may be released into wastewater. In addition, it is used in the synthesis of explosives and drugs, which makes its trafficking control important. A facile and rapid method for the quantitative determination of peracetic acid (PAA) is needed. Probes of the composition [RE(bpm)2](NO3)3 and [RE(bpy)2](NO3)3, where RE = Eu, Tb, bpm = 2,2-bipyrimidine and bpy = 2,2 -bipyridine, were introduced into the micropores of bio-MOF-1 via ion exchange with different relative doping levels [121]. Bio-MOF-1 has the composition [Zn8(ad)4(BPDC)6O2(Me2NH2)+]•G, ad = adenine, BPDC = 4,4-biphenyldicarboxylic acid, G = N,N-dimethylformamide and water. The interaction between PAA and the probe ligands (bpm and bpy) excites the triplet state of the ligand, which in turn leads to a change in the intensity of the luminescence emission lines of Tb(III) and Eu(III), and the change in luminescence intensities served as a ratiometric signal for the determination of PAA. Porous bio-MOF-1 improves the working conditions of rare earth probes by dispersing the probe molecules throughout the voids of bio-MOF-1, which leads to uniform quenching of luminescence. For the Eu:Tb(bpm)@MOF frameworks, four metal concentrations were tested to find the optimal doping level: Eu:6Tb(bpm)@MOF, Eu:8Tb(bpm)@MOF, Eu:10Tb(bpm)@MOF, and 0.1Eu:0.8Tb(bpm)@MOF. X-ray diffraction study of Eu:Tb(bpm)@MOF and Eu:Tb(bpy)@MOF showed that they are single phases. The specific surface area of bio-MOF-1 was 760 m2/g, and after loading of the probes into bio-MOF-1, the micropores were occupied and the surface area decreased to 530 m2/g for Eu:6Tb(bpm)@MOF. The interaction of PAA with the ligands (bpm and bpy) regulated the ligand triplet level (T1), which resulted in the change of the Tb(III) and Eu(III) emission line intensities (increasing Tb(III) emission and decreasing Eu(III) emission). For bpm-based samples, the linear calibration curves were obtained with the maximum sensitivity of 8.01, response time of ∼36 s, LOD of 0.3 μM and working region of 0–70 μM. Such promising PAA sensing efficiency was observed only for bpm-based samples, while bpy-based samples showed poor sensing efficiency. It was suggested that the presence of several N atoms in the bpm ligand plays a key role in controlling the sensitivity of the probe to PAA.
A flexible substrate sensor for monitoring NO2 was developed. Bacterial cellulose (BC) has a high mechanical strength and porous macrostructure. According to the authors, the MOF composition with electrically conductive BC is the best choice for obtaining flexible electronics with both gas and stress/strain sensitivity. Taking into account the outstanding adsorption capabilities of zeolitic imidazolate frameworks-8 (ZIF-8) towards NO2 and the strong binding of polypyrrole (PPY), the authors fabricated a new dual-functional flexible NO2 and stress/strain sensor, designated as Def-ZIF-8/PPY/BC, which was obtained by growing defective ZIF-8 (Def-ZIF-8) on BC in the presence of PPY. Due to partial hydrolysis, the ZIF-8 framework became defective, which resulted in a significant improvement in the room temperature sensitivity to NO2 and antimicrobial activity. According to the powder XRD patterns of Def-ZIF-8/PPY/BC, the crystalline structure of ZIF-8 is destroyed after formation of the defects, but the specific surface area of Def-ZIF-8/PPY/BC is 163.4 m2/g. The defects allow the sensor based on Def-ZIF-8/PPY/BC to demonstrate a response intensity to 80 ppm NO2 that is 2.57 times higher than that of the flexible sensors based on ZIF-8/PPY/BC at room temperature. In terms of stress/strain measurement performance, the flexible sensor based on Def-ZIF-8/PPY/BC demonstrates high sensitivity (6.44 kPa−1) with fast response and recovery time (0.7/0.4 s) and exceptional cyclic stability (8000 cycles). It also exhibits remarkable antibacterial properties (over 99% against E. coli, S. aureus, and P. aeruginosa [122].
Oxidation of edible oils significantly reduces their quality, so it is necessary to quickly and reliably determine the degree of oxidation in each batch of oil. The sensor contained ZIF-8 crystals 60–70 nm in size and CsPbBr3 crystals grown in the voids of the framework crystals and not exceeding 5 nm [123]. Comparison of the specific surface areas of ZIF-8 (1659.38 m2/g) and CsPbBr3@ZIF-8 (629.40 m2/g) showed that not all framework voids are filled with nanocrystals. As a result of storage for 14 days, CsPbBr3@ZIF-8 retained about 90% of the fluorescence intensity, while CsPbBr3 nanocrystals retained about 50%. About 50% of the fluorescence intensity of CsPbBr3@ZIF-8 was retained under 12-h UV irradiation, while CsPbBr3 retained only 5%. CsPbBr3@ZIF-8 in water retained about 50% of the fluorescence intensity after seven days, while the fluorescence of CsPbBr3 was almost completely quenched on day 7. A linear dependence of the oil acidity (in the range of 0.04–6.0 mg KOH/g) and the relative fluorescence intensity of the sensor was obtained. The LOD did not exceed 0.06 mg KOH/g.
A ratiometric fluorescent sensor based on UiO-66-NH2, an excellent water-stable zirconium MOF, was carefully designed and successfully applied to evaluate the aqueous ammonia level in hair dye and household water samples [124]. The detection limit was as low as 83.5 nM. In addition, a novel detection mechanism based on the reaction of Brønsted acid sites was demonstrated. The recovery rate was ranged from 98.2 to 102.9%.

7. Sensing of Inorganic Anions

Inorganic anions are among the most common water and food pollutants. Groundwater across much of Europe contains nitrate (NO3) concentrations exceeding the World Health Organization (WHO) guideline for drinking water quality (50 mg/L). The primary source of nitrate contamination is agricultural activity [125]. In biological systems, NO3 can be reduced to NO2, which is considerably more toxic due to its ability to oxidize iron in hemoglobin, impairing oxygen transport [126]. High levels of NO3 and PO43− in surface waters promote excessive algal and plant growth (eutrophication), which depletes dissolved oxygen and can lead to massive die-offs of aquatic organisms, further deteriorating water quality [127]. In several regions, including India, Poland, Kenya, and China, elevated levels of fluoride (F) have been reported in groundwater. Chronic exposure to high fluoride levels can result in dental fluorosis or even skeletal fluorosis [128]. Thus, the detection of inorganic anions in aqueous systems is a timely research challenge (Table 2).
Electrochemical sensors are well-suited for the detection of NO2 due to its inherent redox activity. MOFs owing to their high surface area, tunable pore structure, and chemical functionality, offer versatile platforms for the design of electrode materials in such sensing systems. Aul et al. [129] used a Bi3+-based MOF with biphenyl-4,4′-dicarboxylic linkers to fabricate a composite with carbon nanofibers by ultrasonication. The composite was deposited onto a glassy carbon electrode and utilized in an amperometric electrochemical cell. Detection of NO2 and NO was performed at pH = 7, with broad oxidation peaks observed at E = +0.62 V. For NO2, a wide linear detection range was achieved (2 nM–2 mM). The presence of a 15-fold excesses of common cations and a 25-fold excesses of anions increases the analytical signal for NO2, while no response was detected in the absence of NO2, indicating high selectivity of the electrode. Storage for over 7 days had no significant effect on the electrode performance, demonstrating excellent stability.
A composite based on mixed metal (Co, Zn) imidazolate framework (ZIF) with polyvinylpyrrolidone was employed for the preparation of a carbon material by pyrolysis at 800 °C under Ar [130]. The resulting carbon material containing metallic cobalt nanoparticles was supported onto the surface of a magnetic glassy carbon electrode. In a 0.1 M phosphate buffer solution (pH 4), NO2 exhibited a broad oxidation peak at E = +0.9 V. The analytical response displayed two distinct linear ranges: 0.2–4000 µM and 4–10 mM. The addition of a 50-fold excesses of NaCl, CaCl2, MgCl2, and glucose did not exhibit any significant impact on the NO2 signal. After 20 days of the electrode storage at 4 °C, the analytical signal decreased by 20%, indicating acceptable stability of the sensing system.
The electrochemical performance of the imidazolate framework ZIF-8(Zn) was enhanced by incorporating it into a ternary composite with carbon nanofibers (CNF) and polyaniline (PANI) under ultrasonic treatment (Figure 3) [131]. The CNF/PANI/ZIF-8 composite was applied onto a glassy carbon electrode and employed for NO2 detection using square wave voltammetry in an acetate buffer solution (pH 4). The ternary composite exhibited an oxidative peak at E = +1.0 V, which was absent for CNF/PANI or ZIF-8. A linear response to NO2 was observed over the concentration range of 16–835 µM, with a detection limit of 8.1 µM. Over a 60-day period, the sensor signal changed by only 6%, confirming its high long-term stability. A significantly simpler and more accessible approach for NO2 detection can be realized by fluorescence analysis, including visual observation or quantification using any smartphone camera. In a study [132], the Zr4+-based MOF (NH2-UiO-66) constructed from 2-aminobenzene-1,4-dicarboxylic linkers was synthesized in the presence of tris(2,2′-bipyridyl)ruthenium(II). Under UV illumination (365 nm), NH2-UiO-66 exhibited intense blue fluorescence (474 nm), while the Ru(II) complex emitted red fluorescence (608 nm). In the presence of NO2 (in 0.06 M H2SO4), selective interaction with the amino groups of the MOF framework led to a decrease of the blue emission, which makes the red signal visible. This blue to red fluorescence change serves as an effective visual indicator, allowing for quantitative NO2 detection via smartphone imaging. The method achieved a detection limit of 0.5 µM and exhibited a linear response in the range of 0.6–15 µM, with acceptable correlation maintained up to 45 µM—a range that overlaps well with the threshold limit value of NO2 in drinking water (65 µM).
A more cost-effective reference fluorophore for fluorescence detection can be provided by carbon dots (CDs). In a study [133], Rhodamine B based CDs were grafted onto NH2-UiO-66 by ultrasonic treatment of their dispersion. NO2 detection was performed after incubating the sample in 1.5 mM H2SO4 for 60 min at 70 °C. With increasing NO2 concentration, the fluorescence (365 nm) intensity of NH2-UiO-66 (454 nm) gradually decreased, while the emission of the CDs (581 nm) remained constant. The system exhibited a linear response in the range of 0.5–20 μM with a detection limit of 0.76 μM. In contrast, the use of NH2-UiO-66 fluorescence without CDs resulted in a significantly narrower linear range (0.5–10 μM) and lacked visual detectability. High concentrations of common inorganic cations and anions showed no significant impact, indicating excellent selectivity of the CDs/NH2-UiO-66 sensor.
Fluorometry can also be used for the detection of F in water using an Eu3+ based MOF constructed from a 2,6-naphthalenedicarboxylic linker (Eu@CMERI) [134]. This material exhibits intense red fluorescence (615 nm), which is selectively quenched in the presence of 10−4 M F. The quenching response is highly selective toward F compared to other common anions. Eu@CMERI in the composition of paper test strips was successfully applied for F detection in various environmental samples, including bovine serum, well, river water, and toothpaste.
NH2-MIL-101(Fe), a Fe3+ based MOF constructed from 2-aminobenzene-1,4-dicarboxylic acid linkers exhibits no significant fluorescence under UV irradiation (360 nm) [135]. However, in the presence of CO32− and PO43− ions, the material displays blue fluorescence, with detection limits of 14.13 nM and 131 nM, respectively. The calculated absolute quantum yields were 38.8% for CO32− and 23.3% for PO43−. This anion-induced fluorescence activation phenomenon suggests potential applications of NH2-MIL-101(Fe) as a UV-responsive anti-counterfeiting tag.
Amorphous MOF based on Eu3+ ions, 2-aminobenzene-1,4-dicarboxylic acid (abdc), and enoxacin as co-ligands was developed for the detection of hypochlorite (ClO) [136]. The material exhibits dual-emission fluorescence, with blue emission (427 nm) attributed to the abdc linker and red emission (611 nm) resulting from Eu3+ sensitized by coordinated enoxacin. In the presence of ClO, a selective decrease of the blue emission occurs, enabling ratiometric detection. The sensor shows a linear response in the range of 15–40 μM with a detection limit of 0.50 μM. This sensing system was successfully applied for the detection of ClO in chlorinated tap water.
Fan et al. [137] used Zn2+ based MOF constructed from 4-[6-(4-carboxyphenyl)pyrazin-2-yl]benzoic acid that exhibited blue fluorescence (413 nm) under UV excitation (325 nm). The fluorescence intensity is selectively quenched in the presence of riboflavin, as well as dichromate (Cr2O72−) and chromate (CrO42−) ions. The sensor material can be reused up to five times without significant loss of the performance.
Detection of As(III) as an arsenite ions in water media became possible using a As(III)-MIM@MOF/AuNPs/GCE composite sensor, which exhibits a wide linearity range (1.0 × 10−11 to 3.0 × 10−5 mol/L) and a low detection limit (3.0 × 10−13 mol/L) [138]. The sensitivity was enhanced by inclusion of MOF/Au nanoparticles.
A hybrid material containing graphene oxide, UiO-67 and Pt nanoparticles was used for detection of As(III) in water samples [139]. The high specific surface area of UiO-67 is beneficial for adsorption and concentration of As(III), whereas graphene oxide provides improved electron transfer, and platinum nanoparticles are considered as selective recognition sites for As(III) via the electrocatalytic action. The wide linear range of 2.7–33.4 nM and the low detection limit of 0.48 nM, which is lower than the standard of drinking water used by the World Health Organization (10 μg/L). The material shows no significant interference of other analytes, good reproducibility and reliability.

8. Sensing of Antibiotics and Pharmaceuticals

8.1. Antibiotics

Over the past 5 years, intensive work has been carried out on the development of MOFs for the detection of antibiotics in food and water. First of all, it is worth noting the development of sensors (e.g., optical, electrochemical, or colorimetric) based on MOFs for the detection of traces of tetracycline (TC) antibiotics [140,141,142,143]. Tetracycline antibiotics are widely used as broad-spectrum antibiotics, but their excessive use leads to environmental pollution and threatens human health. Existing detection methods (mass spectrometry, etc.) are complex and cumbersome and do not allow for rapid detection. Therefore, it is of utmost importance to develop a detection technology for the rapid, on-site detection of full-spectrum TCs residues. During TC-MOF interactions (coordination with exposed metal sites via electrostatic interactions, hydrogen bonding, acid-base bonding, π-complexation and hydrophobicity), the change of electrical, optical, and spectral signals can be potentially used for the detection of the target analyte [140]. In luminescent/fluorescent sensors, several mechanisms can explain the fluorescence quenching of MOF-based sensors, such as Förster resonance energy transfer (FRET), inner filter effect (IFE), photoinduced electron transfer (PET) and excitation light competition between MOF and analyte [140]. Luminescent metal–organic frameworks (LMOFs) as sensors can effectively detect pollutants such as heavy metals or antibiotics. Main characteristics of monofunctional sensors as well as bifunctional ones as well as the proposed mechanisms of quenching are given in Table 3 and Table 4 using the example of sensing of antibiotics [140].
A novel 2D (two-dimensional) Cd-LMOF LCU-125 was fabricated by introducing rich amide active functional sites to serve as a multi-sensitive luminescent sensor [169]. As expected, LCU-125 could selectively and sensitively detect Fe3+, Cr2O72− and OTC (oxytetracycline) through the quenching effect in both water and biological buffer solution. Specifically, the limits of detection (LOD) of Fe3+, Cr2O72− and OTC were as low as 0.0441/0.0084 μM, 0.0849/1.38 μM, and 1.46 μM (OTC in the buffer), respectively. The authors [170] developed a novel selective sensitive chemiluminescence sensor using blue nitrogen-doped carbon dots (BCDs) and europium metal–organic framework (Eu-MOF) (Scheme 1). The BCDs/Eu-MOF sensor is designed to detect the full spectrum of TCs, where TCs can “switch off” the blue fluorescence of BCDs via IFE while sensitizing Eu3+ resulting in intense red fluorescence. This enables the fluorescence of the sensor to achieve a visual continuous color change from blue to violet to red with a low LOD (1.37 to 6.49 nM) with a response time of less than 1 s. Furthermore, the detection method demonstrates an effective detection capability of TCs in real complex samples. In addition, the sensor can be encapsulated in a non-fluorescent glass capillary and combined with a smartphone color recognition application to form a portable capillary chemiluminescence sensor detection kit, which can quickly and sensitively detect TC residues with a LOD of only 1.90 nM using TC as a reference. The developed selective chemiluminescence sensor is characterized by a rapid response, simplicity, high sensitivity and ease of operation, thereby providing a reliable quantitative detection method for TC in the environment.
The luminescent principle of the sensor for detection of tetracycline residues and other ions in aqueous media was described by Yuana et al. [171]. In this work, a 1D Eu coordination polymer {[Eu2(pyia)3(H2O)4](bpy) 3H2O}n (ECP1) was successfully prepared by the hydrothermal reaction and used as a detection reagent for identification of cations, anions, antibiotics, and pesticides. In contrast to fluorescence quenching sensors of many lanthanide complexes, Cu2+, B4O72−, tetracycline, and prochloraz (Pro-imidazole fungicide) induced fluorescence enhancing properties of ECP1, which significantly contributed to achieving the lowest detection limits of pollutants at the ppm level. The fluorescence enhancement was due to the synergy of the static response, photoexcited electron transfer, and interactions between ECP1 and the analytes.
A number of works are devoted to the development of MOF-based sensors for the detection of antibiotics and other classes of drugs [172,173,174,175,176,177]. Thus, Yonga et al. [172] presented a luminescent Zn-MOF constructed by a thiazolo [5,4-d]thiazole ligand, which has a chromophore group that serves as a sensor for the detection of cobalt(II) and antibiotics. The crystal structure of {[Zn2(OBA)2(4bpyttz)]2DMF} (1) (4bpyttz = 2,5-bis(pyridin-4-yl)thiazolo [5,4-d]thiazole, H2OBA = 4,4-oxybis(benzoic acid)) showed a three-dimensional (3D) network structure of the 6-c framework with a novel topological type. It has a unique columnar-layered structure and a novel topology due to the flexible dicarboxylic acid. The open active sites in the MOFs arising from the vacancy of N atoms in the chromophoric ligands can be effectively utilized for analyte trapping. Moreover, the luminescence sensing studies showed that 1 exhibits high selectivity and multireactivity for multiple ions, mainly for Co2+, and nitrofuran antibiotics, mainly for nitrofurazone (NFZ) and nitrofurantoin (NFT)) in aqueous media, causing turn-off effects. The detection limits were determined to be 1.14 μM, 0.14 μM, and 0.072 μM for 1, respectively. In addition, fluorescent test papers and composite films prepared from MOFs were used for the visual detection of Co2+, NFZ, and NFT, thereby expanding the potential applications of the system. In addition, the potential luminescence quenching mechanism of 1 toward Co2+ ions and nitrofuran antibiotics could be deduced through various characterization methods.
Zhang et al. [173] developed an approach to use lanthanide MOFs (Ln-MOFs) for the determination of antibiotics. Such framework structures are interesting due to the unique photoactivity of Ln3+ ions, such as characteristic narrow and strong emissions, high quantum yields, long lifetimes, large Stokes shifts, etc. In this work, a dual-emitter Ln-MOF Tb-TCPB (H3TCPB = 1,3,5-tris(1-(2-carboxyphenyl)-1H-pyrazol-3-yl)benzene) is used for the ratiometric determination of antibiotics (Figure 4). Tb-TCPB can specifically detect NFZ and furazolidone through the ligand to Tb3+ ratio of emission intensities with high sensitivity and selectivity, low detection limits, and recyclability.
The authors [174] synthesized colorless flower-like crystals of [Zn(Cei)] using bis(2-carboxyethyl)isocyanurate (H2Cei) by a simple process at room temperature and tested their photoluminescence sensing and photocatalytic degradation of antibiotics. Photoluminescence characterization of [Zn(Cei)] showed that it is very sensitive and selectively detects norfloxacin and nitrofurantoin in an aqueous solution at 0.323 and 0.590 ppm, respectively. Also, [Zn(Cei)] showed excellent photocatalytic activity against sulfonamides ornidozole and chloramphenicol with degradation efficiencies of 90% and 86% within 120 min under UV irradiation, respectively, good stability and reusability of the photocatalyst.
Ofloxacin (OFL), a widely used antibiotic, is of particular concern due to its potential to contaminate milk and surface water. The authors developed [175] a novel aptasensor-based personal glucometer using a porous spherical cerium metal–organic framework (Ce-MOF) as a loading platform for glucose oxidase (GOx) and oligonucleotide sequences (Ce-MOF-GOx-cDNA). The hybrid probe formed by conjugating Ce-MOF-GOx-cDNA with aptamer-modified magnetic beads enabled the specific recognition of OFL through base pairing. The sensor showed a detection range of 50 pg/mL to 500 ng/mL with a detection limit of 40 pg/mL under optimal conditions. The process showed excellent selectivity, stability and reproducibility. Testing of real samples in spiked milk and surface waters showed recovery rates of 99.5–108%, with relative standard deviations below 4.7%.
Zhang et al. [69,176] proposed to use two novel metal–organic frameworks synthesized from 2,6-bis(1-imidazolyl)naphthalene and transition metal ions. The materials were comprehensively characterized by single crystal X-ray diffraction, powder X-ray diffraction, elemental analysis, infrared spectroscopy, and thermogravimetric analysis, further confirming their high purity, thermal stability, and water resistance. In addition, the fluorescence sensing of MOFs has been extensively tested and was shown to be highly sensitive and selective to nitroimidazole antibiotics, particularly 1,2-dimethyl-5-nitroimidazole, as well as Fe3+, CrO42−, Cr2O72− and acetone.
One of the quinoxalines, olaquindox (OLA) is widely used in livestock and aquaculture due to its potent antimicrobial effects and ability to improve protein digestion. Studies of OLA metabolites excreted in pig urine using 14C-labeled compounds, thin-layer chromatography and high-voltage electrophoresis revealed the presence of the parent drug. The European Union and many other countries have banned the addition of OLA to animal feed. A nanoreactor based on a self-assembling method has been successfully used for rapid and accurate detection of OLA [177]. The voids of the ZIF-8 framework were used as nanoreactors. The nanoreactors contained gold clusters, horseradish peroxidase, invertase, and antibodies. On this basis, a highly sensitive lateral flow fluorescence immunoassay was developed. Based on the catalytic action of horseradish peroxidase on tetramethylbiphenyl, the authors developed a visual colorimetric detection method without an excitation light source. A smartphone was used for accurate detection. In addition, after the catalytic reaction between the substrate solution and nanoreactor, a personal glucometer acted as an electrochemical sensor. The results show the lowest LOD of the assay for OLA of 0.08 μg/L and good specificity. Peak recoveries in environmental water and swine urine samples ranged from 85.2% to 112.9%.

8.2. Pharmaceuticals

Non-steroidal anti-inflammatory drugs (NSAIDs), as a water pollutants, pose a potential hazard to the environment and human health. Sha and Yan [178] used a dual emission sensor Eu@MIL-53-TDC (TDC = 2,5-thiophenedicarboxylic acid) for practical purposes by introducing Eu3+ ions into MIL-53-TDC through post-coordination modification. One source of dual emission is fluorescence emission of MIL-53-TDC and another emission produced by sensitization of Eu3+ ions through the antenna effect. MIL-53-TDC is characterized by good stability to water. The TDC ligand was chosen for two reasons: it is as an antenna ligand, which can sensitize Eu3+ ions to emit characteristic fluorescence; and it is a binding site into which the sulfur atoms on the thiophene ring can bind Eu3+ ions via coordination. Therefore, the Eu3+ hybrid materials MIL-53-TDC (Eu@MIL-53-TDC) were developed as a fluorescent sensor for the detection of two kinds of NSAIDs, S-ibuprofen (S-IBP) and diclofenac (DCF). The concentration range of S-IBP and DCF detected by the prepared sensors is 0.001–0.07 μM (LOD = 0.5 μM) and 0.0005–0.1 μM (LOD = 0.2 μM), respectively. Moreover, this sensor not only can achieve rapid (3 min) and sensitive analysis of these two NSAIDs, but also has satisfactory recovery rate for the detection of S-IBP and DCF in serum and tap water.
Intensive use of malachite green (MG) has resulted in significant water pollution, and its metabolite, leucomalachite green (LMG), poses serious health hazards. Rapid detection of drug residues in aquaculture is critical for food safety. Fu et al. [179] synthesized a dual-emission fluorescent sensor RhB@Tb-MOF (RhB = rhodamine B) based on fluorescence resonance energy transfer (FRET).
MG significantly quenches the fluorescence of RhB and affects the fluorescence of Tb-MOF to varying degrees, making it a suitable ratiometric fluorescent sensor for the sensitive detection of MG with LOD of 9.6 × 10−3 μg/mL. Although LMG did not affect the fluorescence of RhB@Tb-MOF, it formed a ratio with the fluorescence of RhB@Tb-MOF, and the LOD was 3.5 × 10−3 μg/mL (Figure 5). In addition, increasing the concentration of MG changed the color of the sensor system from pink to blue, with a colorimetric LOD of 0.15 μg/mL. Thus, a colorimetric/fluorescence dual-mode sensor for the detection of MG and LMG was developed. The same problem related to the detection of MG was solved by Jiang et al. [180]. UiO-66-NH2@RhB MOF with a dual feedback signal was used for the visual detection of MG by integrating it with a smartphone. The quenching of red fluorescence was attributed to the internal filtration effect between UiO-66-NH2@RhB and MG, while blue fluorescence was enhanced due to the hydrogen bonding interaction between the amino group of the fluorescent probe and the OH group of MG. The ratiometric sensor exhibits superior color resolution and improved visualization compared with the monochromatic fluorescence sensor. The fluorescence color showed a distinct transition from red to blue when exposed to UV light at 365 nm. Using smartphone applications, the concentration of MG can be accurately determined by calculating the RGB values of the captured images. The method has the advantages of on-site analysis, rapid analysis, low cost, high sensitivity and visualization for the detection of MG in real water and fish samples.
Levofloxacin (LEV) is used in pharmaceuticals for the treatment of bacterial infections, but is rarely metabolized by the human body and hence is largely excreted. This leads to its accumulation in wastewater, which poses a risk to human health and the environment. Zhou et al. [181] proposed a modified screen-printed electrode (SPE) using a Cu–MOF derivative as an electrochemical sensor for the detection of LEV. It had a large specific surface area and highly dispersed active sites, which facilitated the complete contact with LEV. The electrochemical behavior of LEV was evaluated using cyclic voltammetry in the potential range of −0.2 to 1 V. The linear response range was 0.1–100 μM, the sensitivity was 1855 μM−1 cm−2, and the detection limit was 0.016 μM. The detection limit and sensitivity of differential pulse voltammetry were 0.17 μM and 183 μA mM−1 cm−2, respectively. The detection limit and sensitivity of chronoamperometry were 0.037 μM and 825 μA mM−1 cm−2, respectively. The method demonstrated significant improvement in the selectivity and stability. The use of the electrochemical sensor containing Cu-MOF is a simple and rapid method for determining LEV in medicine and food industries.
Another example of an electrochemical approach to creating an electrochemical sensor for detecting the analgesic acetaminophen (AP) or paracetamol is presented by Afzal et al. [182]. The sensor was based on a composite of UiO-66-NH2 and MXene (Ti3C2). UiO-66-NH2 was synthesized in situ on MXene via a one-step hydrothermal process with varying MXene loadings, followed by calcination at 300 °C under an argon flow. This treatment induced the formation of TiO2 on the MXene surface and increased the interlayer spacing, which improved its electrochemical performance. The resulting UiO-66-NH2@Ti3C2-C electrode exhibited remarkable electrochemical activity due to the large surface area and excellent conductivity of MXene. The fabricated sensor demonstrated a simple but effective approach for the rapid and quantitative detection of AP with a linear detection range of 0.032–160 μM and a low detection limit of 10 nM. Moreover, the sensor was successfully applied to detect AP in various water samples.

9. Detection of Mycotoxins

Mycotoxins are harmful to human health at very low concentrations. However, their high chemical stability makes it difficult to prevent mycotoxins from entering food products. Fast and reliable detection of mycotoxins at each stage of agricultural production and processing of raw materials is necessary, but due to the low concentration in samples it is necessary to resort to a long, expensive and labor-intensive solid-phase extraction.
Composites of MOF and melamine foamed sponges have been proposed to produce robust sensing materials. Melamine foam sponge (MF) is a commercially available flexible sponge with uniform open macropores for adsorption and deposition of nanoparticles including MOFs without compromising the adsorption properties of MOF crystals. A robust and inexpensive fluorescent Zr-LMOF/MF composite for rapid (10 min) concentration and detection of mycotoxins is reported [183]. Such a dual-function composite is sensitive to fluorescence quenching by mycotoxins. Zr-LMOF is a microporous crystalline material with cavities <1 nm. Zr4+ ions are coordinated by eight carboxylate groups to form a cluster ([Zr63-O)43-OH)4]12+). The cluster is connected by 1,2,4,5-tetra(4-carboxyphenyl)benzene (H4TCPB) bridges to form a porous framework permeated by rhombic channels of ~5.3 × 10.5 Å and ~2.4 × 3.5 Å. The specific surface area of the composite is 1390 m2/g. Zr-LMOF was deposited on the MF sponge using a hydrothermal method, namely, the composite was left in an aqueous solution of aflatoxin B1 (AFB1) for 2 min then heated at 85 °C in a desiccator for 2 min to remove residual water from the macropores. The spectra were excited by radiation at 300 nm and the emission intensity of the composite was recorded at 392 nm. The composite also exhibited strong adsorption effect to other mycotoxins including aflatoxin B2, aflatoxin G1, aflatoxin G2, aflatoxin M1, and ochratoxin A.

10. Sensing of Phenols and Nitroaromatic Compounds

Nitroaromatic compounds (NACs) are widely used industrial chemicals involved in the manufacture of explosives, dyes, herbicides, pharmaceuticals, and corrosion inhibitors. Due to their large-scale production, NACs are frequently detected as contaminants in industrial wastewater. These compounds exhibit high toxicity toward aquatic organisms and are of particular environmental concern. In the human body, NACs can be reduced to genotoxic intermediates, contributing to their recognized carcinogenic potential [184]. Phenols represent another major class of highly toxic aromatic pollutants. Their primary sources include petrochemical and coking industries, as well as coal mining, where phenol concentrations in wastewater can reach up to 1.6 g/L. Owing to their acute toxicity, mutagenicity, and carcinogenicity, phenolic compounds pose significant risks to human health and the environment [185]. Given their widespread occurrence and hazardous nature, the development of sensitive and selective sensing platforms for the detection of NACs and phenols in aqueous environments remains a pressing and important analytical challenge. Diverse MOFs are widely used in this application (Table 5).
The electrochemical reducibility of NACs enables their detection using electrochemical sensing platforms. The authors [185] proposed screen-printed carbon electrodes modified with a ternary nanocomposite of ZIF-8/Ag/reduced graphene oxide for the detection of 4-nitrophenol (4NP). The sensor exhibited a well-defined reduction peak at −0.80 V. The most intense redox response was observed at neutral pH (pH = 7), where 4-NP exists in its uncharged molecular form, resulting in a remarkably low detection limit of 0.3 nM within the linear concentration range of 0.09–13.06 µM. Presence of a 10-fold excess of phenol, catechol, 2-aminophenol, 3-nitrophenol, 2-chlorophenol, or hydroquinone, as well as a 300-fold excess of inorganic cations or anions, led to a signal deviation of less than 4.3%, demonstrating the excellent selectivity of the sensing platform.
Fluorometric detection of NACs can be achieved by MOFs fluorescence quenching, offering a straightforward sensing approach [188]. 2D-MOF Cu-abdc (Cu2+ aminobenzene-1,4-dicarboxylate) nanosheets exhibited blue fluorescence (430 nm) under UV irradiation (350 nm). The fluorescence was quenched in the presence of 2,4,6-trinitrophenol, attributed to strong hydrogen bonding interactions between the NO2 groups of TNP and the NH2 groups of Cu-abdc. The optimal analytical response was observed at pH 7 and in 15 s after addition of the analyte to the Cu-abdc suspension. The sensor demonstrated high selectivity not only over common inorganic cations and anions but also toward structurally similar organic pollutants such as phenol, nitrobenzene, 2-nitrotoluene, 2,4-dinitrobenzene, and 4-nitrotoluene. Moreover, the sensor was successfully applied for the detection of TNP in river water samples.
Simultaneous fluorometric detection of TNP and 2,4DNP was achieved using a MOF-253 (based on Al3+ and 2,2′-bipyridine-5,5′-dicarboxylic linkers) modified with Eu3+ ions (Figure 6) [189]. Under UV irradiation (310 nm), the sensor exhibited a ligand broad emission band (364 nm), along with two Eu3+ emission lines (591 and 612 nm). Among a broad range of NACs tested including nitrobenzene, 4-nitrotoluene, 1,2-dinitrobenzene, 2,4-dinitrobenzene, 1,4-dinitrobenzene, 4-nitrophenol, trinitrotoluene, and trinitrophenol, fluorescence quenching at 364 nm was observed exclusively for TNP and 2,4DNP. The analytical signal was based on the emission intensity at 365 nm, with detection limits for both analytes reaching as low as 10 nM. The sensing mechanism is primarily attributed to the internal filtration effect and electron transfer. The sensor could be reused up to four times or stored for 30 days without significant loss of performance.
An SM-2 (Zn2+-based MOF with pyridine-2,5-dicarboxylate linkers) framework exhibiting strong fluorescence can be used for fluorometric detection of TNP and Cr3+ ions [190]. Upon UV excitation (272 nm), SM-2 displayed a broad emission peak (354 nm). Among various NACs (TNP, 2-nitrophenol, 2-nitroaniline, 3-nitroaniline, and 1,3-dinitrobenzene), the most significant fluorescence quenching was observed for TNP, with an exceptionally low detection limit of 0.5 nM. Moderate quenching was also noted for 2-nitrophenol. In addition to organic analytes, the sensor exhibited quenching for Cr3+ and a weaker response detected for Hg2+.
Another important NAC 2,4,6-trinitrotoluene (TNT) can be fluorometrically detected using PUC-2 (based on Zn2+ with 2-aminobenzene-1,4-dicarboxylic and 1-(3-aminopropyl)imidazole linkers) (Figure 7) [191]. The UV-induced (328 nm) blue fluorescence (431 nm) of PUC2 is selectively quenched by TNT in comparison to other explosives, with a detection limit of 145 nM. The pronounced fluorescence quenching is attributed to photoinduced electron transfer, with an additional enhancement through Forster resonance energy transfer. The sensor response remains stable over a broad pH range of 4–11.
An example of a framework for fluorometric detection of a broad range of NACs is Zn-BDC (based on Zn2+ and benzene-1,4-dicarboxylate) [192]. Upon UV excitation (330 nm), Zn-BDC exhibits blue fluorescence (421 nm), which is efficiently quenched by all tested NACs (4-nitroaniline, nitrobenzene, 4-NP and TNP). Notably, low detection limits of 0.68 µM and 0.92 µM were achieved for 4-NP and TNP, respectively. In addition, the sensor shows sensitivity toward Fe3+ and Cu2+ ions, as well as to nitrobenzene in the vapor phase. The fluorescence quenching was attributed to a charge transfer mechanism. The sensor retains functionality after three sensing cycles or one day in the analyte solution.
In a fluorescent sensor system, MOF can play a structure-directing and protective role without directly participating in the photophysical process. For example, the Ni-MOF (based on Ni2+ and 2,5-dihydroxybenzene-1,4-dicarboxylate linkers) adsorbs single-stranded DNA (ssDNA) in the presence of Mg2+ ions, resulting in fluorescence quenching of DNA (Figure 8) [193]. Upon exposure to bisphenol A (BPA), the ssDNA@Ni-MOF system selectively restores fluorescence compared to other pollutants (phenol, sulfamethoxazole, dimethylacetamide, and PbSO4). The sensor exhibits a detection limit of 0.34 µM for BPA.

11. Detection of Pesticides and Herbicides

11.1. Pesticides

The paper [194] reviews the advances in MOF-based sensors for pesticide detection made in the previous five years (Figure 9). Optical and electrochemical sensors can reduce the cost and time of sample preparation and provide on-site pesticide detection. New biosensors offer unrivaled mechanical, electrical, optical, and magnetic properties. The specificity and sensitivity of pesticide detection can be increased by several orders of magnitude, allowing femtometer-scale detection. Bioelectrodes made from plant tissues are reported to have a longer lifetime than pure enzyme biosensors. New technologies such as molecular imprinting, aptamers and polymer biochips for detection of multiple pesticides will become important due to their advantages. Aptamers can be formulated against multiple target compounds such as heavy metals, pesticides, antibiotics, amino acids, nucleotides and biopolymers such as nucleic acids, carbohydrates and proteins. They have a long shelf life and good detection range. Thus, future research in the field of aptamers should focus on screening aptamers for detection of pesticides with high specificity and affinity.
Let us review the recent advances in the field of MOF-based sensors for pesticides. For example, a unique 3D framework {[(CH3)2NH2]2[Cd3(BCP)2]10H2O 3.5DMF}n was synthesized and characterized [195]. It can serve as a chemical sensor for the sensitive detection of dinotefuran in water, and the LOD can reach 2.09 ppm. This compound also exhibits satisfactory selectivity towards other pesticides and excellent anti-interference efficiency with common ions in water. In addition, it has attractive reusability and is stable after five detection cycles. The mechanistic study implied that fluorescence sensing involves competitive energy absorption and static quenching processes. This is the first report of MOF-based chemical sensors for the detection of dinotefuran, and this MOF may be a potential probe for monitoring the dinotefuran level in hydrographic environment.
Thiabendazole (TBZ) is widely known as a pesticide and/or fungicide for fruits and vegetables. A highly selective and sensitive fluorescent sensor for monitoring TBZ in oranges based on Tb3+ functionalized Zr-MOF (Tb3+@Zr-MOF) was constructed [196]. Tb3+@Zr-MOF showed attractive properties in TBZ sensing, including a wide linear range (0–80 μM), high selectivity, low LOD (0.271 μM), and fast response time (1 min). Moreover, the probe was used to determine TBZ in real orange samples, in which good recoveries ranging from 98 to 104% were obtained. The whole detection process of TBZ in real orange samples combined with QuEChERS method took only 35 min.
Wang et al. [197] reported a promising electrochemical sensor for the determination of catechol (CC), a key phenolic isomer of dihydroxybenzene. The authors presented a composite sensor based on N,S-MXene quantum dots (N,S-MQDs) modified with reduced graphene oxide (rGO) to anchor a defective bimetallic organic framework (D-FeCu-MOF) for the rapid determination of CC in water. The device features are as follows: D-FeCu-MOF provides reversible redox properties, Lewis sites for analyte interaction, and superior electron transfer capability with reduced resistance compared to FeCu-MOF (11,413–7794 Ω), which is attributed to the presence of bimetallic sources, functional groups, and defects. The N,S-MQD@rGO matrix has a high dispersion and porosity, large surface area, abundant active sites and high conductivity (69.18 Ω) along with good water solubility. As a result, the D-FeCu-MOF/N,S-MQD@rGO sensor exhibits excellent sensitivity for CC detection with wide linear ranges of 0.004–520 μM and low detection limit of 0.0014 M. The sensor exhibits great selectivity in the presence of potential interferences, satisfactory recovery (98–103%) in real sample tests, with its potential for environmental monitoring.
A smartphone-based ratiometric fluorescence sensor for intelligent field imaging and diquat (DQ) detection was developed [198]. The 3D Zn-MOFs are prepared by a solvothermal method using a rigid ligand 4,4′,4″-s-triazine-2,4,6-triyltribenzoic acid (H3TATB), a flexible ligand 1,4-bis((1H-imidazol-1-yl)methyl)benzene (bimb), and a transition metal (Zn2+), which shows good structural and thermal stability. The Zn-MOF is a 3D framework crystallizing in a triclinic crystal system in the Pī space group. Then, RhB@Zn-MOF is prepared by introducing rhodamine B (RhB) into the Zn-MOF framework. The inner filter effect quenches the red fluorescence and the fluorescence resonance energy transfer enhances the blue fluorescence, achieving high sensitivity and visual detection of diquat. The sensor has a low detection limit of 10.5 nM and is linear in the concentration range of 0–70.00 μM. Compared with Zn-MOF (detection limit of 16.90 nM), the introduction of RhB significantly improved the accuracy and sensitivity of diquat detection.
To prevent the threat to environmental safety and human health from organophosphorus pesticide (OP) residues, the development of rapid and accurate monitoring methods is of critical importance. Gu et al. [199] proposed a novel quantum dot functionalized metal–organic framework composite (IRMOF-3/CdTe), which achieved ultra-strong cathodic electrochemiluminescence (ECL) emission in aqueous media. IRMOF-3 could effectively catalyze sulfate radical generation, while protecting the metastable intermediates from environmental quenching, synergistically improving the ECL signal intensity. By optimizing the ratio of IRMOF-3/CdTe and combining the ECL intensity and electrochemical impedance spectroscopy, IRMOF-3 was found to have dual effects on the ECL performance of CdTe. Based on the efficient ECL performance of IRMOF-3/CdTe and the inhibitory effect of OP on the acetylcholinesterase (AChE) activity, a highly sensitive ECL enzyme biosensor was constructed for the detection of profenofos (Pff). The fabricated biosensor exhibited a wide detection range (134 fM−1.34 mM) and low detection limit (44.7 fM) and was successfully applied to detect Pff residues in real samples (vegetables, milk, and Yangtze River water).
A rapid and reliable SERS method based on Ag@ZIF-8@Au platforms was developed for monitoring acetamiprid residues in the environment [176]. In this method, a MOF material ZIF-8 is coated with silver nanoparticles and distributed between AgNPs and AuNPs to enhance the Raman signal, which can enrich the pesticide moles in the hot spot region provided by the noble material and help to avoid the oxidation of silver nanoparticles. A high sensitivity (LOD 9.027 × 10−10 M for acetamiprid and SERS enhancement factor 4.3 × 107), excellent reproducibility (6.496% or 7.198% RSD for 30 random spots) and excellent stability (3.127% RSD for 6 weeks) were achieved using the proposed method. Acetamiprid with concentrations ranging from 10−4 to 10−9 M was successfully detected by SERS. Linear detection models of acetamiprid in different environmental matrices (lake water, tea leaves, tea plantation soil, oranges and orange orchard soil) were established.
Excess of pesticide chlorpyrifos (CPF) causes serious harm to food and soil safety, so it is important to control its content. A fluorescent sensor (ZIF-8@CuNCs) composed of copper nanoclusters (CuNCs) wrapped with zeolitic imidazolate framework ZIF-8 was prepared byy a simple one-pot strategy to achieve selective detection of CPF [200]. The detection mechanism is as follows: the fluorescence of ZIF-8@CuNCs can be quenched by 3,5,6-trichloro-2-pyridinol, a hydrolysate of CPF in an alkaline media, through the inner filter effect. Thus, the enzyme-free CPF detection method using ZIF-8@CuNCs was developed. The detection range is 0–50 μg/mL, the detection limit is 0.43 μg/mL, and the recovery range of CPF from food and soil is 90.6–112.9%. ZIF-8@CuNCs was successfully combined with a smartphone to realize rapid visualization and quantitative analysis of CPF.

11.2. Herbicides

Glyphosate, a powerful herbicide widely used in the world, poses potential hazards to human health by accumulating in the food chain. Due to the lack of chromophores and fluorophores, rapid visual detection of glyphosate has always been difficult. Wan et al. [201] constructed a paper-based geometric field enhancement device visualized by amino-functionalized bismuth metal–organic framework (NH2–Bi-MOF) for sensitive fluorescence detection of glyphosate (Figure 10). The fluorescence of the synthesized NH2–Bi-MOF was enhanced by interaction with glyphosate. The field enhancement of glyphosate was realized by coordinating the electric field and electroosmotic flow. The method showed a linear range of 0.80–200 μmol/L under optimal conditions with a signal enhancement of about 12,500 times achieved in only 100 s of electric field enhancement. It was applied to soil and water with the recovery ranging from 95.7% to 105.6%.
Paraquat (PQ) is widely used worldwide as a fast-acting herbicide and is highly toxic. A composite of gold nanoparticles coated with ZIF-8 and parasulfonylcalix[4]arene (pSC4) (pSC4-AuNPs@ZIF-8) was prepared by a one-step method [202]. The electrochemical biosensor analysis of PQ was performed using the modified pSC4-AuNPs@ZIF-8 glassy carbon electrode through the host-guest recognition of PQ and pSC4. The detection limit of PQ was 0.49 pM.
Detection of the herbicide 4-chloro-2-methylphenoxyacetic acid (CMPA) is of importance due to potential health risks associated with adverse effect on liver and kidney functions. To address this issue, a carbon paste-based sensor incorporating a composite material was developed [203]. The composite sensor is based on a porous cobalt-1,4-benzenedicarboxylate metal–organic framework and exfoliated montmorillonite nanolayers (Co-MOF/MMt). Compared with the Co-MOF material, the Co-MOF/MMt nanocomposite showed an improved specific surface area of 1004 m2/g with a crystal size of 30 nm. This sensor enables the voltammetric detection of CMPA in soil samples using linear adsorption anodic stripping voltammetry, facilitating early and accurate monitoring of herbicide. The Co-MOF/MMt nanocomposite was synthesized using a hydrothermal method via precipitation of Co-MOF in the presence of MMt. The resulting modified carbon paste sensor containing 1.0% Co-MOF/MMt nanocomposite showed superior electrochemical properties compared to the unmodified carbon paste sensor. Under standard operating conditions, the developed sensor demonstrated detection limits of 0.03 nM and 0.1 nM over two wide linear ranges (0.03–0.10 nM–0.10–1.0 nM) and (0.1–1.0 nM–1.0–7.0 nM).

12. Detection of Chloroorganic Compounds

Inhalation of certain chlorinated volatile organic compounds (CVOCs), such as dichloromethane, chloroform, carbon tetrachloride, and 1,2-dichloroethane, has been linked to chronic cardiovascular disease, cognitive impairment, reproductive harm, and cancer risk. A new luminescent LMOF based on Cu(I) clusters of the composition {[Cu3I3(TPSA)]⋅CH3CN}n, where N,N′,N″-tri(3-pyridine)thiotriamide phosphate (TPSA) is the phosphor, was synthesized [204]. The asymmetric part of the unit cell of the LMOF crystal contains a {Cu3I3S} core, a TPSA ligand and an acetonitrile molecule. The {Cu3I3S} core consists of three tetra-bonded copper ions, two μ2-I ions, one μ3-I ion and one μ2-S atom. Each ligand is bound to four copper cores to form a three-dimensional framework. The structure contains one-dimensional open channels with a pore size of 4.0 Å. Due to this unusual photophysical properties, LMOF can be also used as a fluorescent gas sensor for CH2Cl2, CHCl3, and 1,2-dichloroethane at low concentrations, in which the detection limits are 0.4 Pa, 3.1 Pa, and 1.2 Pa, respectively, with a response time of several seconds.
4-Chlorophenol (4-CP) has strong biological toxicity, teratogenic, carcinogenic, and mutagenic effects, it accumulates in the body. A rapid, simple, efficient and accurate method for detecting 4-CP and a new method for online monitoring of this toxicant is developed [186]. The sensor is obtained by self-assembly of a mixture of sheet-like Ni-BDC (BDC: 1,4-dicarboxybenzene) scaffolds and multi-walled carbon nanotubes (MWCNTs) (Ni-BDC/MWCNT) at room temperature. Due to the large specific surface area, high electrochemical activity of Ni-BDC and high electrical conductivity of MWCNT, the Ni-BDC/MWCNT sensor had a wide linear range (0.1–50 and 50–500 μM), low detection limit (16.5 nM), perfect reproducibility and high stability, as well as good selectivity.
There are some works [205], in which substances were obtained that cannot be called MOFs due to their small specific surface area, for example, Cu−NH2BDC, where NH2BDC is 2-amino-terephthalic acid, has a BET specific surface area of 14.7 m2/g, and the properties of a perfluorooctanoic acid sensor, based on Cu−NH2BDC should be explained by the properties of the salt, not the framework.

13. Sensing of Radioactive Impurities

Technetium-99 is one of the most problematic radionuclides with a long half-life (2.13 × 105 years), which is quite stable in the anionic form (pertechnetate, TcO4). A method for monitoring technetium in water is needed. Tetraphenylethylene (TPE) with the effect of aggregation-induced emission (AIE) was used to synthesize a substance that concentrates and detects pertechnetate ions, in which molecules that are weakly luminescent or do not luminesce, intensely fluoresce in an aggregate state. Based on TPE, tetrakis(4-pyrimidylphenyl)ethene was prepared and used as an organic linker to construct a cationic water-stable MOF with silver ions ZJU-X8 [206]. There are three coordination centers of silver ions in ZJU-X8, one of which is 6-coordinated with two nitrogen atoms from pyrimidyl units and four oxygen atoms from nitrate anions. In the 7-coordinated mode, the silver ion is coordinated with one DMSO molecule and two pyrimidyl groups and three nitrates. In the 3-type centers, the silver atoms have a CN of 5. These coordination centers, connected by linkers, create a cationic layered structure. TcO4 can strongly attach to the available silver sites in ZJU-X8 after anion exchange, which changes the overall electronic structure of AIE molecules. Due to this property, ZJU-X8 showed a unique fluorescence color change after replacing nitrates with TcO4 from bright blue to yellowish green under UV irradiation. The relationship between the emission wavelength and the concentration of ReO4 in the solution is close to linear (R2 = 0.99), and the calculated LOD and limit of quantification are 10.2 and 34 ppm, respectively.
In recent years, a large amount of radioactive uranium has been released into the environment, mainly due to uranium mining, nuclear industry emissions and military activities. 238U has a long half-life of 4.5 × 109 years and can exhibit combined chemotoxicity and radiotoxicity, causing DNA damage, nephropathy, osteosarcoma and other diseases. Not only ultra-sensitive and rapid on-site detection but also effective concentration and removal of uranium from water is of great significance to human health, environmental safety, and sustainable development. To solve the problem of uranium determination in water and its concentration and extraction from water, novel cost-effective dual-functional luminescent mixtures Tb-MOF/Tb-AG were successfully prepared by combining Tb-MOF and alginate gel (AG) using terbium(III) as a connecting node [207]. Due to the presence of luminescent centers and binding sites for uranium, the obtained Tb-MOF/Tb-AG mixtures can be used as an effective adsorbent and visual sensor, exhibiting a remarkable adsorption capacity of 549 mg/g and ultra-high sensitivity to uranium with a detection limit of only 1.2 ppt. The treated Tb-MOF/Tb-AG sorbent can be reused for uranium adsorption with satisfactory adsorption capacity. Tb-MOF was synthesized by heating a mixture of Tb(NO3)3⋅6H2O (0.1 mmol), 2,4,6-tri[(pcarboxyphenyl)amino]-1,3,5-triazine (H3TATAB) (0.05 mmol), H2O (2 mL), and DMF (3 mL) in an autoclave at 100 °C for 72 h. To obtain the granular sorbent, the Tb-MOF suspension in water was slowly dropped into the SA aqueous solution and stirred to obtain the Tb-MOF sol. Then, the Tb-MOF sol was injected into the Tb(NO3)3⋅6H2O (5 wt%) aqueous solution, and spherical granules of Tb-MOF/Tb-AG mixtures with a uniform size of about 3.6 mm were obtained. It is noteworthy that the obtained LOD of 1.2 ppm is low. The maximum allowable content of uranium in drinking water is 0.13 μmol/L (30 ppb) according to the requirements of the U.S. Environmental Protection Agency. The obtained LOD is lower than this threshold by 4 orders of magnitude, therefore the presented new sorbent and indicator Tb-MOF/Tb-AG is sensitive enough to detect traces of uranium. The specific surface area of Tb-MOF/Tb-AG is 21 m2/g, but the adsorption capacity of Tb-MOF/Tb-AG was much greater than that of Tb-MOF, which was explained by the greater hydrophilicity of the Tb-MOF/Tb-AG composite than Tb-MOF, as well as chelation, hydrogen bonding and ion-exchange interactions between uranium and Tb-MOF and Tb-AG fragments in the Tb-MOF/Tb-AG composite.
Based on the concepts of molecular recognition, a new method that demonstrates high selectivity and sensitivity for the detection of uranyl ions in water using MOFs was developed. The MOF Tb@UiO-66-(COOH)2 containing 1,2,4,5-benzenetetracarboxylic acid as a linker and terbium ions in the MOF nodes was used as a sensor [208]. Tb@UiO-66-(COOH)2 can specifically recognize uranyl ions with ultra-high sensitivity. The stronger affinity of carboxyl groups in UiO-66-(COOH)2 for uranyl ions compared to that of Tb3+ ions leads to the replacement of Tb3+ by uranyl, which causes the quenching of the luminescence of Tb3+ ions. The LOD were determined to be 8.26 nM and 5.68 nM in lake water and seawater, respectively, which are much lower than the uranium contamination standard in drinking water defined by US EPA.
In the nuclear fuel cycle, iodine isotopes are generated in reactors and can be released into the environment, posing a long-term risk to the environment. Therefore, detection of these released harmful and persistent iodine species is essential. MOFs of the composition Ln(BTC)(H2O), denoted as Ln-BTC, where BTC is 1,3,5-benzenetricarboxylic acid (H3BTC), adsorb about 340 mg/g of iodine at 80 °C in saturated iodine vapor [209]. The crystal structure after calcination of Ln-BTC did not change, but the iodine uptake capacity increased to about 530 mg/g, while the MOF structure was preserved. Highly sensitive and selective fluorescence/electrochemical detection of iodine using Ln-BTC MOFs under competitive adsorption of water vapor is demonstrated. Iodine quenches fluorescence of Ln-BTCs via a photoinduced electron transfer mechanism, after adsorption of 2% iodine, the fluorescence quenches two orders of magnitude. The conductivity of Ln-BTCs increases 107 times after capturing iodine and 104 times at 18% relative humidity.

14. Detection of Amines

Ammonia and amines are common contaminants in food and water, typically formed during the decomposition of proteins in biological processes. Another source of these pollutants is agriculture, where they are used as fertilizers and for plant protection [210]. The concentration of ammonia in water is a crucial for assessing the nitrogen cycle, pollution levels, and the ecological status of aquatic environments. Thus, the development of sensors for detection of ammonia and amines is of considerable importance (Table 6) [211].
MOF-5 (based on Zn2+ and benzene-1,4-dicarboxylate linkers) was used as a matrix for immobilizing natural acid-base indicators extracted from Solenostemon scutellarioides (L.) plants as NH3 sensors [212]. The test strips were evaluated for visual and smartphone-assistant analysis. The system selectively detects NH3 with a detection limit of 49.6 ppb, does not show any significant effect of water vapor and other common contaminants such as acetone, ethanol, methanol, and chloroform. The test strips were successfully applied for monitoring the freshness of food products, including chicken, veal and fish.
Fang et al. [213] studied NH2-UiO-66 incorporated into colorimetric films based on sodium alginate and anthocyanins extracted from red cabbage. The colorimetric films containing NH2-UiO-66 exhibited much faster color changes when exposed to an NH3 solution and maintained their sensing properties for a longer duration compared to films without MOF. The role of MOF in the colorimetric films is to stabilize anthocyanins through strong hydrogen bonding and π–π interactions, as well as to provide protection from light-induced degradation. These films are sensitive not only to NH3 but also to dimethylamine and trimethylamine, while showing resistance to interference from water, alcohols, aldehydes, and hydrocarbons. The colorimetric films were successfully applied to monitor the freshness of shrimp, detecting spoilage prior to visible changes.
MOFs can demonstrate potential as a versatile multimode sensor applicable to both liquid- and gas-phase analyses. Yang et al. [214] explored ZIF-8 post-synthetically modified by partial substitution of Zn2+ with In3+, followed by deposition of carbon dots (CDs). The resulting composite CDs@ZIF-8(In) was applied in fluorometric detection of triethylamine (TEA). Upon exposure to TEA, both fluorescence emission peaks of the composite (at 440 and 610 nm) exhibited dose-dependent enhancement. In contrast, the fluorescence response to ammonia was significantly weaker, while no enhancement was observed in the presence of other potential interferents (n-butylamine, alcohols, acetone, hydrocarbons). Furthermore, pyrolyzed CDs@ZIF-8(In), denoted as CDs@DZIF-8(In), was employed in a resistive gas sensor for TEA, demonstrating high sensitivity and selectivity.
MOFs can be integrated into multicomponent molecular ensembles enabling the detection of ultra-trace levels of contaminants. An H-AlMOF@AuNP system comprising an Al-based MOF, hemin, and dopamine provide electrocatalytic reduction of H2O2 on an SPE electrode (Figure 11) [215]. This platform enables the determination of carbendazim using differential pulse voltammetry and chronoamperometry, achieving detection limits of 80 and 300 attomol/L, respectively, which represents a remarkable performance. The sensor was successfully applied to analysis of tap water, apple juice, and tomato juice.

15. Sensing of Explosives

Some examples of the use of MOF-based materials for detection of nitroaromatic compounds, including TNT have been considered already in Section 10. Here we will discuss briefly a few more reports. [Cd(atc)(H2O)2]n (NMOF 1) (atc = 2-aminoterephthalic acid) is highly sensitive in sensing nitroaromatic compounds by fluorescence quenching [216].
Photoluminescence of a nanocomposite of luminescent Eu-containing framework and CdSe quantum dots was used for sensitive detection of trinitrotoluene [217]. The linear limits of photoluminescence quenching based detection of trinitrotoluene is 5–1000 ppb with the lowest detection limit of 3 ppb. Detection of trinitrotoluene was selective in the presence of other aromatic molecules (phenol, o-cresol, toluene, benzene, nitrobenzene, and nitrophenol). Detection of explosives is a serious problem and PCPs can serve as pre-concentrators of explosives [218]. This approach was manifested using hexahydro-1,3,5-trinitro-1,3,5-triazine as an explosive compound [219]. PCPs were shown to concentrate it up to 3000 times compared to gas phase detectors. The selectivity to hexahydro-1,3,5-trinitro-1,3,5-triazine vs. a hydrocarbon was up to 5000 [220].

16. Detection of Bacteria

Bacillus anthracis is a Gram-positive bacterium that poses a lethal threat to living organisms and is considered a biological weapon. It can cause anthrax, which has a high lethality rate and a short duration of effective treatment. Therefore, early detection of B. anthracis is crucial for effective treatment of anthrax. Based on theoretical calculations (DFT), a model was proposed to predict the effect of functional groups of PTA-X linkers (PTA: p-phthalic acid, X = NH2, CH3, H, OH) on the luminescent properties of Ln-MOFs, which is necessary for the design of linkers for single- and dual-emission Ln-MOFs. The model was verified by synthesizing eight Ln-MOFs and measuring their fluorescence spectra. As a result, Tb-PTA-OH was identified as the only dual-emission Ln-MOF. It was applied for the detection of DPA (DPA—dipicolinic acid, Bacillus anthracis biomarker). A mini-device visual color detection method for DPA based on a smartphone was developed, and a novel detection mechanism and selectivity mechanism of DPA “triple gate” were proposed. The so-called “triple gates” are the molecular orbital energy, excited state energy level, and excited state transition intensity, which are used to determine whether the target analyte or interfering compound satisfies the requirements for sensitizing Tb3+ luminescence. Only substances that have passed the “triple gate” can be selectively detected. Good linearity was obtained in the concentration range of DPA (0.05–6 μM). The LOD of DPA is 13.4 nM [221].
The main cause of foodborne illness is contamination by pathogenic bacteria such as Staphylococcus aureus (S. aureus) and Salmonella. Food products can be contaminated with pathogenic bacteria, so aptasensors are needed. Since their discovery in the early 1990s, aptamers (oligonucleotide or peptide molecules that specifically bind to certain target molecules) served as an alternative to antibodies required for target recognition by a biosensor. Aptamers have stability, variability, low cost and high specific affinity for a particular target molecule. They are widely used as a recognition component in biosensors called aptasensors. The authors [222] obtained and applied a MOF nanocomposite with such electrochemical and catalytic properties that enabled a tandem sensor system for fast and simple bacterial detection. The gold nanoparticle-modified framework containing copper ions (Au/CuMOF) cannot only exhibit a clear electrochemical potential peak from coordinated Cu2+, but also catalyze a color reaction, which opens the way to fabricate a tandem sensor for bacterial detection. S. aureus is used as a target model. Different concentrations of S. aureus lead to different amounts of Au/CuMOF to be attached to the magnetic beads or introduced into the mother liquor, which in turn leads to differences in the current strength and adsorption. Utilizing an electrochemical workstation and spectrophotometer as detection tools, the tandem sensor allows quantification of S. aureus with high accuracy and sensitivity, enabling food monitoring. CuMOF consists of 1,3,5-benzenetricarboxylate ions (TMA) and Cu2+ ions with the composition [Cu3(TMA)2(H2O)3]n. The specific surface area (BET) of CuMOF is 692.2 m2/g. The achievable porosity is 40.7%, which is comparable to zeolites. Gold nanoparticles were deposited on the surface of CuMOF crystals. The ssDNA-Au/CuMOF bioconjugates were formed on Au/CuMOF surfaces through specific interaction of -SH groups of ssDNA with gold nanoparticles. The MB-Apt bioconjugate was obtained via the specific combination of streptavidin STV-MB with a biotin tag modified at the S. aureus aptamer end. Due to the chelated copper ions and the high catalytic activity of Au/CuMOF towards the 3,3′,5,5′ tetramethylbenzidine (TMB) substrate, remarkable electrochemical and colorimetric signals were obtained. The method demonstrated a wide linear range from 10 to 108 CFU/mL with a LOD of only 5 CFU/mL, good selectivity and ability to resist interferences in complex samples. It was also convenient due to the ease of separation of the MB bioconjugate and the use of disposable screen-printed carbon electrodes. By substituting aptamers and DNA sequences, the detection of other targets including bacteria could be realized in food analysis [223].

17. Smartphone-Based Methods and Nanozimes

A composite containing blue fluorescent carbon dots, red fluorescent InP/ZnS quantum dots, and ZIF-8 was manufactured and applied in a fluorescence sensor for Hg2+ ions and cysteine [107]. The application of this composite with the color recognition and appropriate software for a smartphone provides the real-time and rapid sensing of mercury and cysteine. There are many examples in literature and our review in the above chapters.
“Nanozymes are nanomaterials that catalyze the conversion of enzyme substrates to products and follow enzymatic kinetics (e.g., Michaelis–Menten) under physiologically relevant conditions, even though the molecular mechanisms of the reactions could be different between nanozymes and the corresponding enzymes” [224]. They are not inferior in selectivity and surpass in activity natural enzymes, for example, natural peroxidase. They are easier to produce and are undemanding to storage conditions compared to natural compounds. Nanozymes replacing oxidase and peroxidase are the most common. They can produce large amounts of reactive oxygen species and act as an excellent oxidizer. Many MOFs exhibit nanozyme properties. A nanozyme sensor (NH2-UiO-67(Zr/Cu)) with peroxidase properties and a smartphone-enabled portable device was applied for rapid in situ detection of H2O2 [225]. Tetramethylbenzidine (TMB) in the presence of H2O2 and peroxidase-like enzymes forms a blue oxidation product (oxTMB), which enables colorimetric detection of H2O2. This makes TMB in combination with NH2-UiO-67(Zr/Cu) an ideal indicator for rapid in situ detection of H2O2. The colorimetric measurements are complemented by fluorescence spectra. NH2-UiO-67(Zr/Cu), being a nanozyme, serves as a source of fluorescence. In the presence of H2O2, the fluorescence of NH2-UiO-67(Zr/Cu) is quenched at 405 nm, which enables fluorescence detection by measuring the degree of quenching. To improve the sensitivity, a portable 3D printed device was created, equipped with two light sources: a daylight LED for colorimetric detection by monitoring the color changes of the solution and a UV LED for fluorescence detection by monitoring the fluorescence changes of NH2-UiO-67(Zr/Cu) excited at 365 nm. The smartphone converts the color information into RGB values. This smartphone device provides excellent selectivity and interference resistance in H2O2 detection, simplifying the analytical process and providing high flexibility for on-site applications. This H2O2 detection method is of important for environmental and process control, food safety.
A paper-based single and dual colorimetric smartphone sensor was developed to detect PO43− and Cu2+ ions using BDC-Co-BIm MOF (BDC is a linker, benzene-1,4-dicarboxylic acid, and BIm is benzimidazole) as a peroxidase-type nanozyme [226]. The detection time of PO43− and Cu2+ ions was 10 and 5 min, LOD was 0.09 and 0.35 μM, respectively. BDC-Co-BIm MOF catalyzes oxidation of TMB by hydrogen peroxide, forming blue oxidation products (oxTMB). When PO43− ions are introduced into the blue oxidized environment, they complex with Co2+ ions, causing the blue solution to become lighter. Subsequently, addition of Cu2+ ions results in a stable covalent complex Cu3(PO4)2, significantly restoring the blue color. This mechanism enables sensitive and selective detection of PO43− and Cu2+ ions using BDC-Co-BIm MOF. However, BDC-Co-BIm MOF is not a framework but rather a dinuclear coordination compound. The description of the synthesis and X-ray diffraction experiments are not informative and inconclusive.
Fast, sensitive, and user-friendly colorimetric As(V) detection based on Fe-MOFs was developed [227]. The framework compound NH2-MIL-88(Fe), consisting of linkers, 2-amino terephthalic acid, and iron atoms at the framework sites, exhibited peroxidase-like activity, which allowed the oxidation of colorless TMB to blue oxTMB in the presence of H2O2. Using the strong As–O–Fe coordination, NH2-MIL-88(Fe) rapidly adsorbed As(V), reducing its peroxidase-like activity and causing a decrease in UV–visible absorption and decolorization of the blue color of the solution. This MOF-based colorimetric strategy enabled the detection of As(V) within 15 min using the rapid adsorption of As(V) onto unsaturated metal centers, namely, iron atoms. The developed method enables the detection of As(V) at concentrations as low as 2.78 μg/L over a wide linear range of 5.00–600.00 μg/L.
A bactericidal, insecticidal veterinary drug, malachite green (MG) is widely used in the aquaculture industry, despite the categorical ban due to its toxicity. When MG enters a biological organism, it is quickly reduced to leucomalachite green (LMG) and accumulates in tissues under the action of reductase. LMG is more toxic than MG. The total amount of MG and LMG was determined by oxidation of LMG to MG by nanozymes. For this purpose, a new nanozyme, the metal–organic framework ZIF-67 (PSS/ZIF-67) with the addition of poly(sodium 4-styrene sulfonate) (PSS), as a surfactant, was designed and manufactured [228]. The addition of PSS significantly enhanced the nanozyme activity of ZIF-67. PSS/ZIF-67 showed excellent oxidase-like activity and could rapidly and selectively oxidize LMG into MG within 1 min. The total amount of MG and LMG was determined colorimetrically in 10 min. The colorimetric determination has a linear relationship with the total concentration of LMG and MG in the range of 2.0–15.0 μM, and LOD of 0.25 μM. Using the test strip technology and a mobile phone, a portable visual platform for the quantitative determination of total MG and LMG in fish was obtained. This method provides a simple and rapid determination of total MG residue, and also avoids interference.
Two copper-containing 2D MOFs (Cu3-TDH and Cu3-BDU) with excellent laccase-like properties were synthesized as nanozymes for phenol oxidation and simultaneous identification and detection of multiple phenolic pollutants [229]. Cu3-TDH and Cu3-BDU were prepared by condensation of terephthalic dihydrazide (TDH) and 1,1′-(1,4-phenylene)diurea (BDU) with a coordination cyclic compound, each complex consisting of alternating three Cu(I) atoms and three 1H-pyrazole-4-carbaldehyde molecules lacking hydrogen atoms at the nitrogen atoms, i.e., the complex contains three Cu-N covalent bonds and three Cu-N coordination bonds. According to the authors, Cu3-TDH and Cu3-BDU demonstrated the specific surface area, 90.86 and 75.01 m2/g, respectively.

18. Prospects and Outlook

Table 7 presents the most sensitive PCP/MOF materials showing the record low detection limits to the most important analytes. Noteworthy, the values of detection limits presented in Table 7 exceed the parameters achievable by using conventional sensor materials. The analysis of the state of the art [230, 231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259] shows that the scope of the use of PCPs/MOFs in sensors is a broad field for the future research. The unique properties of PCPs/MOFs include high specific surface areas and pore volumes, adjustable molecular sizes of the pores, flexibility of the framework that is responsive toward the adsorbate as well as by using a “molecular recognition” approach [241]. The above factors contribute to the effective penetration of degradable molecules to the corresponding sites of the frameworks, while creating luminescence centers with high intensity. An increase in the specific MOF surface area also leads to an increase in the concentration of luminescence centers. It is important that the pore sizes of the frameworks affect the selectivity of the process of creating luminescence centers. The further improvements are based on the development of more efficient methods of deposition of PCPs layers onto the surface of appropriate substrates [248] and original compositions and preparation methods of nanocomposites with the goal to reach a synergy between the PCP and the other components of the nanocomposite [252,254]. New methodologies should also include photoelectrochemical sensors.
Another approach is based on the application of MOFs as precursors of oxide nanoparticles with a variety of morphologies (nanocubes, nanocages, hierarchical structures, core-shell materials). Presumably, these materials preserve the structure and developed porosity of the initial MOF, which provides potential in sensor applications, especially in gas sensors [240,243,244,247,255,258].
Table 7. The most illustrative examples of the sensitive PCP/MOF materials demonstrating the record low detection limits towards the essential analytes.
Table 7. The most illustrative examples of the sensitive PCP/MOF materials demonstrating the record low detection limits towards the essential analytes.
Metal–organic frameworkSensor Type/Sensing MechanismTarget ChemicalDetection LimitReference
Cations
Tb(BTB)(DMF) 1.5DMF 2.5H2OLuminescenceFe3+10−2 mmol/L[230]
Eu3+@UiO-66(Zr)-COOHLuminescenceCd2+6 × 10−2 mmol/L[231]
Adenine-La-MOFLuminescenceHg2+0.2 nmol[232]
Eu3+@MIL-121LuminescenceAg+0.1 mmol[233]
DNA-functionalized Fe(porphyrin)-PCPLuminescencePb2+0.034 nmol[234,235]
Eu3+/CDs@UiO-66LuminescenceCu2+51 nmol[236]
Anions
[Ln2ZnL3(H2O)4](NO3)2·12H2O)n (Ln = Eu, Tb; L = 4,4′-dicarboxylate-2,2′-dipyridine anion)LuminescenceI1 ppb[237]
({RuII(tBubpy)(CN)4[CuII(dien)]2}(ClO4)2LuminescenceCN30 ppb[238]
UiO-66-NH2LuminescenceClO40 nmol[250]
UiO–66–NH2@Eu–MOFLuminescencePO43−0.67 μmol/L[239]
Molecules
Layers of Cu-BTCSurface acoustic wavesH2O<1 ppm[249]
Cu3(HITP)2ChemiresistiveNH30.5 ppm[242]
MFM-300 (In-MOF)CapacitiveSO25 ppb[251]
Au-SH-SiO2NPs on Cu-MOFElectrochemicalN2H410 nmol[78]
Organic molecules
ZnO@ZIF-67ChemiresistiveCH2O50 ppm[256]
Co(Im)2ChemiresistiveMe3N2 ppm [245]
UiO-66-NH2Work functionDimethylmethylphosphonate3 ppb[246]
NH2-MIL-53(Al) in MatrimidWork functionAlcohols2 ppm[253]
IRMOF-3LuminescenceTrinitrophenol0.1 ppm[257]
One more class of materials demonstrating similarities to MOFs are metal organic gels. The have no regular crystalline structure but are characterized by high surface areas and pore volumes with adjustable pore sizes. A metal organic gel of the Fe-ndc type demonstrated good sensitivity in detecting aromatic and nitro compounds with enhancement (turn-on) or quenching (turn-off) of luminescence, with the increase of the luminescence intensity reaching 862% [259].
In general, hybrid, core-shell, MOF-on-MOF, MOF@MOF, catenated and 2D structured MOF/COF/PCP materials and composites based on these components deserve special attention as they combine advantages of the components and should be designed to fulfill the highest possible sensing characteristics.

Author Contributions

Conceptualization: L.K. and L.A.: Validation: V.Z. and V.V.; Visualization: V.V.; Formal analysis: V.Z., L.A. and L.K.; Supervision: L.K.; Project administration: L.K.; Writing: V.Z., L.A., V.V. and L.K.; Editing: L.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Russian Science Foundation, grant number 23-73-30007.

Data Availability Statement

No new data were created or analyzed in this study.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
bdcbenzene-1,4-dicarboxylate
bpdc4,4′-biphenyldicarboxylate
btcbenzene-1,3,5-benzenetricarboxylate
COFCovalent Organic Frameworks
JUCJilin University of China
MeImmethylimidazolate
MOFmetal–organic framework
PCPporous coordination polymer
PTMTC4,4′,4-methanetriyltris(2,3,5,6-tetrachlorobenzoate)
pzdcpyrazine-2,3-dicarboxylate
ZIFzeolitic imidazolate framework

References

  1. Hoskins, B.F.; Robson, R. Infinite Polymeric Frameworks Consisting of Three Dimensionally Linked Rod-like Segments. J. Am. Chem. Soc. 1989, 111, 5962–5964. [Google Scholar] [CrossRef]
  2. Yaghi, O.M.; Li, G.; Li, H. Selective Binding and Removal of Guests in a Microporous Metal–Organic Framework. Nature 1995, 378, 703–706. [Google Scholar] [CrossRef]
  3. Park, K.S.; Ni, Z.; Côté, A.P.; Choi, J.Y.; Huang, R.; Uribe-Romo, F.J.; Chae, H.K.; O’Keeffe, M.; Yaghi, O.M. Exceptional Chemical and Thermal Stability of Zeolitic Imidazolate Frameworks. Proc. Natl. Acad. Sci. USA 2006, 103, 10186–10191. [Google Scholar] [CrossRef] [PubMed]
  4. Stepanov, A.V.; Mel’nik, K.E.; Isaeva, V.I.; Kapustin, G.I.; Chernyshev, V.V.; Veselovsky, V.V. The Henry Reaction Catalyzed by Zeolitic Imidazolate Framework ZIF-8. Mendeleev Commun. 2018, 28, 88–90. [Google Scholar] [CrossRef]
  5. Dybtsev, D.N.; Sapianik, A.A.; Fedin, V.P. Pre-Synthesized Secondary Building Units in the Rational Synthesis of Porous Coordination Polymers. Mendeleev Commun. 2017, 27, 321–331. [Google Scholar] [CrossRef]
  6. Veselovsky, V.V.; Lozanova, A.V.; Isaeva, V.I.; Lobova, A.A.; Chernyshev, V.V. Optically Active Derivatives of Terephthalic Acid: Synthesis and Crystal Structures. Russ. Chem. Bull. 2017, 66, 1589–1596. [Google Scholar] [CrossRef]
  7. Lozanova, A.V.; Stepanov, A.V.; Mel′nik, K.E.; Zlokazov, M.V.; Veselovsky, V.V. Synthesis of Functionalized 1,2-Diphenylacetylene Derivatives. Russ. Chem. Bull. 2019, 68, 64–67. [Google Scholar] [CrossRef]
  8. Sonnauer, A.; Hoffmann, F.; Fröba, M.; Kienle, L.; Duppel, V.; Thommes, M.; Serre, C.; Férey, G.; Stock, N. Giant Pores in a Chromium 2,6-Naphthalenedicarboxylate Open-Framework Structure with MIL-101 Topology. Angew. Chem.-Int. Ed. 2009, 48, 3791–3794. [Google Scholar] [CrossRef]
  9. Wong-Foy, A.G.; Matzger, A.J.; Yaghi, O.M. Exceptional H2 Saturation Uptake in Microporous Metal-Organic Frameworks. J. Am. Chem. Soc. 2006, 128, 3494–3495. [Google Scholar] [CrossRef]
  10. Férey, G.; Serre, C.; Mellot-Draznieks, C.; Millange, F.; Surblé, S.; Dutour, J.; Margiolaki, I. A Hybrid Solid with Giant Pores Prepared by a Combination of Targeted Chemistry, Simulation, and Powder Diffraction. Angew. Chem.-Int. Ed. 2004, 43, 6296–6301. [Google Scholar] [CrossRef]
  11. Martin, R.L.; Haranczyk, M. Exploring Frontiers of High Surface Area Metal–Organic Frameworks. Chem. Sci. 2013, 4, 1781–1785. [Google Scholar] [CrossRef]
  12. Isaeva, V.I.; Kustov, L.M. Metal-Organic Frameworks and Related Materials: Miles to Go. In Zeolites and Zeolite-Like Materials; Elsevier: Amsterdam, The Netherlands, 2016; pp. 33–109. [Google Scholar] [CrossRef]
  13. Rowsell, J.L.C.; Yaghi, O.M. Strategies for Hydrogen Storage in Metal–Organic Frameworks. Angew. Chem. Int. Ed. 2005, 44, 4670–4679. [Google Scholar] [CrossRef]
  14. Xuan, W.; Zhu, C.; Liu, Y.; Cui, Y. Mesoporous Metal–Organic Framework Materials. Chem. Soc. Rev. 2012, 41, 1677–1695. [Google Scholar] [CrossRef] [PubMed]
  15. Phan, A.; Doonan, C.J.; Uribe-Romo, F.J.; Knobler, C.B.; Okeeffe, M.; Yaghi, O.M. Synthesis, Structure, and Carbon Dioxide Capture Properties of Zeolitic Imidazolate Frameworks. Acc. Chem. Res. 2010, 43, 58–67. [Google Scholar] [CrossRef] [PubMed]
  16. Qiu, S.; Zhu, G. Molecular Engineering for Synthesizing Novel Structures of Metal–Organic Frameworks with Multifunctional Properties. Coord. Chem. Rev. 2009, 253, 2891–2911. [Google Scholar] [CrossRef]
  17. Furukawa, S.; Reboul, J.; Diring, S.; Sumida, K.; Kitagawa, S. Structuring of Metal–Organic Frameworks at the Mesoscopic/Macroscopic Scale. Chem. Soc. Rev. 2014, 43, 5700–5734. [Google Scholar] [CrossRef]
  18. Li, P.; Cheng, F.F.; Xiong, W.W.; Zhang, Q. New Synthetic Strategies to Prepare Metal–Organic Frameworks. Inorg. Chem. Front. 2018, 5, 2693–2708. [Google Scholar] [CrossRef]
  19. Kalmutzki, M.J.; Hanikel, N.; Yaghi, O.M. Secondary Building Units as the Turning Point in the Development of the Reticular Chemistry of MOFs. Sci. Adv. 2018, 4, eaat9180. [Google Scholar] [CrossRef]
  20. Stock, N.; Biswas, S. Synthesis of Metal-Organic Frameworks (MOFs): Routes to Various MOF Topologies, Morphologies, and Composites. Chem. Rev. 2012, 112, 933–969. [Google Scholar] [CrossRef]
  21. Cohen, S.M. Postsynthetic Methods for the Functionalization of Metal-Organic Frameworks. Chem. Rev. 2012, 112, 970–1000. [Google Scholar] [CrossRef]
  22. Cohen, S.M. Modifying MOFs: New Chemistry, New Materials. Chem. Sci. 2010, 1, 32–36. [Google Scholar] [CrossRef]
  23. Cui, Y.; Li, B.; He, H.; Zhou, W.; Chen, B.; Qian, G. Metal-Organic Frameworks as Platforms for Functional Materials. Acc. Chem. Res. 2016, 49, 483–493. [Google Scholar] [CrossRef]
  24. Isaeva, V.I.; Belyaeva, E.V.; Fitch, A.N.; Chernyshev, V.V.; Klyamkin, S.N.; Kustov, L.M. Synthesis and Structural Characterization of a Series of Novel Zn(II)-Based MOFs with Pyridine-2,5-Dicarboxylate Linkers. Cryst. Growth Des. 2013, 13, 5305–5315. [Google Scholar] [CrossRef]
  25. Diercks, C.S.; Kalmutzki, M.J.; Diercks, N.J.; Yaghi, O.M. Conceptual Advances from Werner Complexes to Metal-Organic Frameworks. ACS Cent. Sci. 2018, 4, 1457–1464. [Google Scholar] [CrossRef]
  26. Schneemann, A.; Bon, V.; Schwedler, I.; Senkovska, I.; Kaskel, S.; Fischer, R.A. Flexible Metal–Organic Frameworks. Chem. Soc. Rev. 2014, 43, 6062–6096. [Google Scholar] [CrossRef]
  27. Yu, Q.; Dong, H.; Zhang, X.; Zhu, Y.X.; Wang, J.H.; Zhang, F.M.; Sun, X.J. Novel Stable Metal–Organic Framework Photocatalyst for Light-Driven Hydrogen Production. CrystEngComm 2018, 20, 3228–3233. [Google Scholar] [CrossRef]
  28. Fang, Q.R.; Makal, T.A.; Young, M.D.; Zhou, H.C. Recent Advances in the Study of Mesoporous Metal-Organic Frameworks. Comments Inorg. Chem. 2010, 31, 165–195. [Google Scholar] [CrossRef]
  29. Zheng, J.; Vemuri, R.S.; Estevez, L.; Koech, P.K.; Varga, T.; Camaioni, D.M.; Blake, T.A.; McGrail, B.P.; Motkuri, R.K. Pore-Engineered Metal-Organic Frameworks with Excellent Adsorption of Water and Fluorocarbon Refrigerant for Cooling Applications. J. Am. Chem. Soc. 2017, 139, 10601–10604. [Google Scholar] [CrossRef] [PubMed]
  30. Yang, J.; Zhang, Y.B.; Liu, Q.; Trickett, C.A.; Gutiérrez-Puebla, E.; Monge, M.Á.; Cong, H.; Aldossary, A.; Deng, H.; Yaghi, O.M. Principles of Designing Extra-Large Pore Openings and Cages in Zeolitic Imidazolate Frameworks. J. Am. Chem. Soc. 2017, 139, 6448–6455. [Google Scholar] [CrossRef]
  31. Fletcher, A.J.; Thomas, K.M.; Rosseinsky, M.J. Flexibility in Metal-Organic Framework Materials: Impact on Sorption Properties. J. Solid State Chem. 2005, 178, 2491–2510. [Google Scholar] [CrossRef]
  32. Pribylov, A.A.; Murdmaa, K.O.; Solovtsova, O.V.; Knyazeva, M.K. Methane Adsorption on Various Metal-Organic Frameworks and Determination of the Average Adsorption Heats at Supercritical Temperatures and Pressures. Russ. Chem. Bull. 2018, 67, 1807–1813. [Google Scholar] [CrossRef]
  33. Babaei, H.; McGaughey, A.J.H.; Wilmer, C.E. Effect of Pore Size and Shape on the Thermal Conductivity of Metal-Organic Frameworks. Chem. Sci. 2016, 8, 583–589. [Google Scholar] [CrossRef] [PubMed]
  34. Almeida Paz, F.A.; Klinowski, J. Two- and Three-Dimensional Cadmium-Organic Frameworks with Trimesic Acid and 4,4′-Trimethylenedipyridine. Inorg. Chem. 2004, 43, 3882–3893. [Google Scholar] [CrossRef]
  35. Stavila, V.; Talin, A.A.; Allendorf, M.D. MOF-Based Electronic and Opto-Electronic Devices. Chem. Soc. Rev. 2014, 43, 5994–6010. [Google Scholar] [CrossRef]
  36. Finsy, V.; De Bruyne, S.; Alaerts, L.; De Vos, D.; Jacobs, P.A.; Baron, G.V.; Denayer, J.F.M. Shape Selective Adsorption of Linear and Branched Alkanes in the Cu3(BTC)2 Metal-Organic Framework. Stud. Surf. Sci. Catal. 2007, 170, 2048–2053. [Google Scholar] [CrossRef]
  37. Lei, J.; Qian, R.; Ling, P.; Cui, L.; Ju, H. Design and Sensing Applications of Metal-Organic Framework Composites. TrAC-Trends Anal. Chem. 2014, 58, 71–78. [Google Scholar] [CrossRef]
  38. Chidambaram, A.; Stylianou, K.C. Electronic Metal–Organic Framework Sensors. Inorg. Chem. Front. 2018, 5, 979–998. [Google Scholar] [CrossRef]
  39. Lustig, W.P.; Mukherjee, S.; Rudd, N.D.; Desai, A.V.; Li, J.; Ghosh, S.K. Metal–Organic Frameworks: Functional Luminescent and Photonic Materials for Sensing Applications. Chem. Soc. Rev. 2017, 46, 3242–3285. [Google Scholar] [CrossRef]
  40. Kumar, V.; Kim, K.H.; Kumar, P.; Jeon, B.H.; Kim, J.C. Functional Hybrid Nanostructure Materials: Advanced Strategies for Sensing Applications toward Volatile Organic Compounds. Coord. Chem. Rev. 2017, 342, 80–105. [Google Scholar] [CrossRef]
  41. Zhang, Y.; Yuan, S.; Day, G.; Wang, X.; Yang, X.; Zhou, H.C. Luminescent Sensors Based on Metal-Organic Frameworks. Coord. Chem. Rev. 2018, 354, 28–45. [Google Scholar] [CrossRef]
  42. Yi, F.Y.; Chen, D.; Wu, M.K.; Han, L.; Jiang, H.L. Chemical Sensors Based on Metal–Organic Frameworks. Chempluschem 2016, 81, 675–690. [Google Scholar] [CrossRef]
  43. Stassen, I.; Burtch, N.; Talin, A.; Falcaro, P.; Allendorf, M.; Ameloot, R. An Updated Roadmap for the Integration of Metal–Organic Frameworks with Electronic Devices and Chemical Sensors. Chem. Soc. Rev. 2017, 46, 3185–3241. [Google Scholar] [CrossRef]
  44. Fang, X.; Zong, B.; Mao, S. Metal–Organic Framework-Based Sensors for Environmental Contaminant Sensing. Nanomicro Lett. 2018, 10, 64. [Google Scholar] [CrossRef] [PubMed]
  45. Qiu, L.G.; Li, Z.Q.; Wu, Y.; Wang, W.; Xu, T.; Jiang, X. Facile Synthesis of Nanocrystals of a Microporous Metal–Organic Framework by an Ultrasonic Method and Selective Sensing of Organoamines. Chem. Commun. 2008, 31, 3642–3644. [Google Scholar] [CrossRef]
  46. Wong, K.L.; Law, G.L.; Yang, Y.Y.; Wong, W.T. A Highly Porous Luminescent Terbium–Organic Framework for Reversible Anion Sensing. Adv. Mater. 2006, 18, 1051–1054. [Google Scholar] [CrossRef]
  47. Zou, R.Q.; Yamada, Y.; Xu, Q. Strong Fluorescent Emission of a New Fourfold-Interpenetrated Diamondoid Metal-Organic Framework of Zinc(II) Urocanate with One-Dimensional Open Channels. Microporous Mesoporous Mater. 2006, 91, 233–237. [Google Scholar] [CrossRef]
  48. Zhong, R.Q.; Zou, R.Q.; Xu, Q. Microporous Metal-Organic Framework Zinc(II) Imidazole-4,5-Dicarboxylate: Four-Fold Helical Structure and Strong Fluorescent Emission. Microporous Mesoporous Mater. 2007, 102, 122–127. [Google Scholar] [CrossRef]
  49. Xu, Y.H.; Lan, Y.Q.; Zhao, Y.H.; Du, D.Y.; Xu, G.J.; Shao, K.Z.; Su, Z.M.; Liao, Y. Two Novel Supramolecular Isomers Based on 2,2′-Biimidazole Derivative and Zinc Ions: Syntheses, Structures and Luminescent Properties. Inorg. Chem. Commun. 2009, 12, 169–172. [Google Scholar] [CrossRef]
  50. Chandra, D.; Kasture, M.W.; Bhaumik, A. A New Microporous MOF Material Based on Zn(II)-Polycarboxylate Coordination Polymer Synthesized with the Aid of 1,6-Diaminohexane as Template. Microporous Mesoporous Mater. 2008, 116, 204–209. [Google Scholar] [CrossRef]
  51. Myers, M.; Podolska, A.; Heath, C.; Baker, M.V.; Pejcic, B. Pore Size Dynamics in Interpenetrated Metal Organic Frameworks for Selective Sensing of Aromatic Compounds. Anal. Chim. Acta 2014, 819, 78–81. [Google Scholar] [CrossRef]
  52. Choi, J.H.; Jeon, H.J.; Choi, K.M.; Kang, J.K. Metal–Organic Frameworks for Visible Light Absorption via Anion Substitution. J. Mater. Chem. 2012, 22, 10144–10147. [Google Scholar] [CrossRef]
  53. Yin, M.-J.; Gu, B.; An, Q.F.; Yang, C.; Guan, Y.L.; Yong, K.T. Recent Development of Fiber-Optic Chemical Sensors and Biosensors: Mechanisms, Materials, Micro/Nano-Fabrications and Applications. Coord. Chem. Rev. 2018, 376, 348–392. [Google Scholar] [CrossRef]
  54. Zhu, S.; Zhang, H.; Zhao, Y.; Shao, M.; Wang, Z.; Li, M. Synthesis, Structures and Luminescence of Three Coordination Polymers Constructed from Rigid 1,3,5-Benzenetricarboxylic Acid and Flexible Bis(Imidazol-1-Ylmethyl)-Benzene. J. Mol. Struct. 2008, 892, 420–426. [Google Scholar] [CrossRef]
  55. Basak, S.; Sen, S.; Marschner, C.; Baumgartner, J.; Batten, S.R.; Turner, D.R.; Mitra, S. Synthesis, Crystal Structures and Fluorescence Properties of Two New Di- and Polynuclear Cd(II) Complexes with N2O Donor Set of a Tridentate Schiff Base Ligand. Polyhedron 2008, 27, 1193–1200. [Google Scholar] [CrossRef]
  56. Yang, E.C.; Liang, Q.Q.; Wang, P.; Zhao, X.J. A 3D Photoluminescent Cadmium(II)-Organic Framework with Unusual Pentanuclear Cluster as Secondary Building Unit. Inorg. Chem. Commun. 2009, 12, 211–213. [Google Scholar] [CrossRef]
  57. Zhao, J.; Zhu, G.S.; Zou, Y.C.; Fang, Q.R.; Xue, M.; Li, Z.Y.; Qiu, S.L. Synthesis, Structure and Luminescent Property of a New 3D Porous Metal–Organic Framework with Rutile Topology. J. Mol. Struct. 2007, 871, 80–84. [Google Scholar] [CrossRef]
  58. Chen, L.F.; Li, Z.J.; Qin, Y.Y.; Cheng, J.K.; Yao, Y.G. Syntheses, Crystal Structures and Photoluminescence of Two New Pyrazinecarboxylate-Based Cadmium(II) Coordination Polymers. J. Mol. Struct. 2008, 892, 278–282. [Google Scholar] [CrossRef]
  59. Huang, Y.G.; Yuan, D.Q.; Gong, Y.Q.; Jiang, F.L.; Hong, M.C. Synthesis, Structure and Luminescent Properties of Lanthanide–Organic Frameworks Based on Pyridine-2,6-Dicarboxylic Acid. J. Mol. Struct. 2008, 872, 99–104. [Google Scholar] [CrossRef]
  60. Li, X.; Zhang, Y.B.; Shi, M.; Li, P.Z. (4,4)- and (6,3)-2-D Luminescent Lanthanide(III) Metal-Organic Frameworks Constructed from Tetrafluorosuccinate and 1,10-Phenanthroline. Inorg. Chem. Commun. 2008, 11, 869–872. [Google Scholar] [CrossRef]
  61. Zhang, Z.H.; Song, Y.; Okamura, T.A.; Hasegawa, Y.; Sun, W.Y.; Ueyama, N. Syntheses, Structures, near-Infrared and Visible Luminescence, and Magnetic Properties of Lanthanide-Organic Frameworks with an Imidazole-Containing Flexible Ligand. Inorg. Chem. 2006, 45, 2896–2902. [Google Scholar] [CrossRef]
  62. Zhu, Y.J.; Ren, Z.G.; Zhang, W.H.; Chen, Y.; Li, H.X.; Zhang, Y.; Lang, J.P. Synthesis and Structural Characterization of a Unique 3D Coordination Polymer [Pb(4-Pya)2]n(4-Pya=trans-4-Pyridylacrylate). Inorg. Chem. Commun. 2007, 10, 485–488. [Google Scholar] [CrossRef]
  63. Zhao, Y.H.; Su, Z.M.; Fu, Y.M.; Shao, K.Z.; Li, P.; Wang, Y.; Hao, X.R.; Zhu, D.X.; Liu, S.D. Syntheses and Characterizations of Four Metal Coordination Polymers Constructed by the Pyridine-3,5-Dicarboxylate Ligand. Polyhedron 2008, 27, 583–592. [Google Scholar] [CrossRef]
  64. Luo, G.G.; Huang, R.B.; Zhang, N.; Lin, L.R.; Zheng, L.S. Structural Diversity in the (Ag–NO3–2-Aminopyrimidyl Derivatives) System: New Zero-, One-, and Two-Dimensional Inorganic–Organic Hybrids. Polyhedron 2008, 27, 3231–3238. [Google Scholar] [CrossRef]
  65. Marti, A.M.; Nijem, N.; Chabal, Y.J.; Balkus, K.J. Selective Detection of Olefins Using a Luminescent Silver-Functionalized Metal Organic Framework, RPM3. Microporous Mesoporous Mater. 2013, 174, 100–107. [Google Scholar] [CrossRef]
  66. Furukawa, H.; Miller, M.A.; Yaghi, O.M. Independent Verification of the Saturation Hydrogen Uptake in MOF-177 and Establishment of a Benchmark for Hydrogen Adsorption in Metal–Organic Frameworks. J. Mater. Chem. 2007, 17, 3197–3204. [Google Scholar] [CrossRef]
  67. Marlow, F.; McGehee, M.D.; Zhao, D.; Chmelka, B.F.; Stucky, G.D. Doped Mesoporous Silica Fibers: A New Laser Material. Adv. Mater. 1999, 11, 632–636. [Google Scholar] [CrossRef]
  68. Cui, Y.; Yue, Y.; Qian, G.; Chen, B. Luminescent Functional Metal-Organic Frameworks. Chem. Rev. 2012, 112, 1126–1162. [Google Scholar] [CrossRef]
  69. Zhang, J.W.; Zhao, Y.; Yin, R.Q.; Tan, T.; Zhu, Z.H.; Wu, X.L.; Liu, Z.Q. Synthesis and Fluorescence Recognition Properties of Two Cd-MOFs Based on Different Mixed Ligands. Dye. Pigment. 2025, 235, 112600. [Google Scholar] [CrossRef]
  70. Hasi, Q.M.; Mu, X.T.; Su, X.H.; Wei, Y.M. Luminescence Cd(II) Coordination Compounds Based on a Semi-Rigid Tricarboxylic Acid Ligand for Identifying Metal Cations, Inorganic Anions and Organic Solvents. Polyhedron 2022, 219, 115799. [Google Scholar] [CrossRef]
  71. Obvintseva, L.A. Metal Oxide Semiconductor Sensors for Determination of Reactive Gas Impurities in Air. Russ. J. Gen. Chem. 2008, 78, 2545–2555. [Google Scholar] [CrossRef]
  72. Rumyantseva, M.N.; Makeeva, E.A.; Gas’Kov, A.M. Influence of the Microstructure of Semiconductor Sensor Materials on Oxygen Chemisorption on Their Surface. Russ. J. Gen. Chem. 2008, 78, 2556–2565. [Google Scholar] [CrossRef]
  73. Llabrés i Xamena, F.X.; Corma, A.; Garcia, H. Applications for Metal-Organic Frameworks (MOFs) as Quantum Dot Semiconductors. J. Phys. Chem. C 2007, 111, 80–85. [Google Scholar] [CrossRef]
  74. Sun, L.; Park, S.S.; Sheberla, D.; Dincǎ, M. Measuring and Reporting Electrical Conductivity in Metal-Organic Frameworks: Cd2(TTFTB) as a Case Study. J. Am. Chem. Soc. 2016, 138, 14772–14782. [Google Scholar] [CrossRef] [PubMed]
  75. Talin, A.A.; Centrone, A.; Ford, A.C.; Foster, M.E.; Stavila, V.; Haney, P.; Kinney, R.A.; Szalai, V.; El Gabaly, F.; Yoon, H.P.; et al. Tunable Electrical Conductivity in Metal-Organic Framework Thin-Film Devices. Science 2014, 343, 66–69. [Google Scholar] [CrossRef]
  76. Sheberla, D.; Sun, L.; Blood-Forsythe, M.A.; Er, S.; Wade, C.R.; Brozek, C.K.; Aspuru-Guzik, A.; Dincǎ, M. High Electrical Conductivity in Ni3(2,3,6,7,10,11-Hexaiminotriphenylene)2, a Semiconducting Metal-Organic Graphene Analogue. J. Am. Chem. Soc. 2014, 136, 8859–8862. [Google Scholar] [CrossRef]
  77. Sun, L.; Campbell, M.G.; Dincə, M. Electrically Conductive Porous Metal-Organic Frameworks. Angew. Chem.-Int. Ed. 2016, 55, 3566–3579. [Google Scholar] [CrossRef]
  78. Hosseini, H.; Ahmar, H.; Dehghani, A.; Bagheri, A.; Fakhari, A.R.; Amini, M.M. Au-SH-SiO2 Nanoparticles Supported on Metal-Organic Framework (Au-SH-SiO2@Cu-MOF) as a Sensor for Electrocatalytic Oxidation and Determination of Hydrazine. Electrochim. Acta 2013, 88, 301–309. [Google Scholar] [CrossRef]
  79. Hosseini, H.; Ahmar, H.; Dehghani, A.; Bagheri, A.; Tadjarodi, A.; Fakhari, A.R. A Novel Electrochemical Sensor Based on Metal-Organic Framework for Electro-Catalytic Oxidation of L-Cysteine. Biosens. Bioelectron. 2013, 42, 426–429. [Google Scholar] [CrossRef]
  80. Wan, X.; Song, H.; Zhao, D.; Zhang, L.; Lv, Y. A Y-Doped Metal-Organic Framework-Based Cataluminescence Gas Sensor for Isobutanol. Sens. Actuators B Chem. 2014, 201, 413–419. [Google Scholar] [CrossRef]
  81. Li, Y.; Huangfu, C.; Du, H.; Liu, W.; Li, Y.; Ye, J. Electrochemical Behavior of Metal–Organic Framework MIL-101 Modified Carbon Paste Electrode: An Excellent Candidate for Electroanalysis. J. Electroanal. Chem. 2013, 709, 65–69. [Google Scholar] [CrossRef]
  82. Llobet, E. Gas Sensors Using Carbon Nanomaterials: A Review. Sens. Actuators B Chem. 2013, 179, 32–45. [Google Scholar] [CrossRef]
  83. Zhou, Z.; Mukherjee, S.; Hou, S.; Li, W.; Elsner, M.; Fischer, R.A. Porphyrinic MOF Film for Multifaceted Electrochemical Sensing. Angew. Chem. Int. Ed. 2021, 60, 20551–20557. [Google Scholar] [CrossRef]
  84. Zhang, L.; Pu, Y.; Xu, W.; Peng, J.; Liu, Y.; Du, H. A Ratiometric Electrochemical Sensor for Simultaneous Detection of Multiple Heavy Metal Ions in Water and Herbal Medicines Based on Methylene Blue-Functionalized Metal–Organic Framework. Microchem. J. 2024, 201, 110542. [Google Scholar] [CrossRef]
  85. Maspoch, D.; Ruiz-Molina, D.; Wurst, K.; Domingo, N.; Cavallini, M.; Biscarini, F.; Tejada, J.; Rovira, C.; Veciana, J. A Nanoporous Molecular Magnet with Reversible Solvent-Induced Mechanical and Magnetic Properties. Nat. Mater. 2003, 2, 190–195. [Google Scholar] [CrossRef] [PubMed]
  86. Han, S.; Qiao, X.; Zhao, Q.; Guo, J.; Yu, D.; Xu, J.; Zhuang, S.; Wang, D.; Fang, X.; Zhang, D. Ultrafast and Parts-per-Billion-Level MEMS Gas Sensors by Hetero-Interface Engineering of 2D/2D Cu-TCPP@ZnIn2S4 with Enriched Surface Sulfur Vacancies. Nano Lett. 2024, 24, 7389–7396. [Google Scholar] [CrossRef] [PubMed]
  87. Allendorf, M.D.; Houk, R.J.T.; Andruszkiewicz, L.; Talin, A.A.; Pikarsky, J.; Choudhury, A.; Gall, K.A.; Hesketh, P.J. Stress-Induced Chemical Detection Using Flexible Metal-Organic Frameworks. J. Am. Chem. Soc. 2008, 130, 14404–14405. [Google Scholar] [CrossRef]
  88. Venkatasubramanian, A.; Lee, J.-H.; Houk, R.J.; Allendorf, M.D.; Nair, S.; Hesketh, P.J. Characterization of HKUST-1 Crystals and Their Application to MEMS Microcantilever Array Sensors. ECS Trans. 2010, 33, 229–238. [Google Scholar] [CrossRef]
  89. Tu, M.; Wannapaiboon, S.; Khaletskaya, K.; Fischer, R.A. Engineering Zeolitic-Imidazolate Framework (ZIF) Thin Film Devices for Selective Detection of Volatile Organic Compounds. Adv. Funct. Mater. 2015, 25, 4470–4479. [Google Scholar] [CrossRef]
  90. Khoshaman, A.H.; Bahreyni, B. Application of Metal Organic Framework Crystals for Sensing of Volatile Organic Gases. Sens. Actuators B Chem. 2012, 162, 114–119. [Google Scholar] [CrossRef]
  91. Kreno, L.E.; Hupp, J.T.; Van Duyne, R.P. Metal-Organic Framework Thin Film for Enhanced Localized Surface Plasmon Resonance Gas Sensing. Anal. Chem. 2010, 82, 8042–8046. [Google Scholar] [CrossRef]
  92. Lu, G.; Hupp, J.T. Metal-Organic Frameworks as Sensors: A ZIF-8 Based Fabry-Pérot Device as a Selective Sensor for Chemical Vapors and Gases. J. Am. Chem. Soc. 2010, 132, 7832–7833. [Google Scholar] [CrossRef]
  93. Sohrabi, H.; Ghasemzadeh, S.; Shakib, S.; Majidi, M.R.; Razmjou, A.; Yoon, Y.; Khataee, A. Metal-Organic Framework-Based Biosensing Platforms for the Sensitive Determination of Trace Elements and Heavy Metals: A Comprehensive Review. Ind. Eng. Chem. Res. 2023, 62, 4611–4627. [Google Scholar] [CrossRef]
  94. Jain, S.; Dilbaghi, N.; Singhal, N.K.; Kaushik, A.; Kim, K.H.; Kumar, S. Carbon Quantum Dots@metal–Organic Framework Based Catalytic Nucleic Acid Fluorescent System for Highly Sensitive and Selective Detection of Pb2+ in Aqueous Solutions. Chem. Eng. J. 2023, 457, 141375. [Google Scholar] [CrossRef]
  95. Wang, Y.; Wu, Y.; Xie, J.; Hu, X. Metal–Organic Framework Modified Carbon Paste Electrode for Lead Sensor. Sens. Actuators B Chem. 2013, 177, 1161–1166. [Google Scholar] [CrossRef]
  96. Olorunyomi, J.F.; White, J.F.; Gengenbach, T.R.; Caruso, R.A.; Doherty, C.M. Fabrication of a Reusable Carbon Dot/Gold Nanoparticle/Metal-Organic Framework Film for Fluorescence Detection of Lead Ions in Water. ACS Appl. Mater. Interfaces 2022, 14, 35755–35768. [Google Scholar] [CrossRef]
  97. Li, H.; Hou, Y. High Selective Detection of Trace Lead Ions via Substitution-Triggered Chemiluminescence Enhancement. ChemistrySelect 2023, 8, e202301231. [Google Scholar] [CrossRef]
  98. Li, Y.; Wan, Y.; Wang, Y.; Zhang, Y. 3D Printing MOFs-Based Fiber Electrodes: A Novel Platform as Electrochemical Sensors for Heavy Metal Ions. Z. Anorg. Allg. Chem. 2022, 648, e202200236. [Google Scholar] [CrossRef]
  99. Liu, W.; Guan, J.; Kong, B.; Lu, H.; Wu, Y.; Qin, X.L.; Jiang, H.; Liu, X. Amino Functionalized Bismuth-Based Metal-Organic Frameworks and Graphene Aerogels for Simultaneous Detection of Cadmium and Lead Ions. J. Solid State Electrochem. 2023, 27, 3393–3404. [Google Scholar] [CrossRef]
  100. Zheng, X.; Han, Y.; Liu, Z.; Liang, S.; Wang, C.; Guo, Y. Electrochemical Sensor Built on Graphene@Iron-Based Metal–Organic Frameworks for Simultaneous Detection of Cd2+ and Pb2+. Electroanalysis 2025, 37, e12002. [Google Scholar] [CrossRef]
  101. Hou, J.; Jia, P.; Yang, K.; Bu, T.; Zhao, S.; Li, L.; Wang, L. Fluorescence and Colorimetric Dual-Mode Ratiometric Sensor Based on Zr-Tetraphenylporphyrin Tetrasulfonic Acid Hydrate Metal-Organic Frameworks for Visual Detection of Copper Ions. ACS Appl. Mater. Interfaces 2022, 14, 13848–13857. [Google Scholar] [CrossRef]
  102. Lv, W.; Song, Y.; Guo, R.; Liu, N.; Mo, Z. Zirconium-Based Metal–Organic Framework Encapsulated Dye Molecules: An Excellent Sensing Platform for Sensitive Detection of Cu2+ in Aqueous Environments. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2024, 310, 123883. [Google Scholar] [CrossRef]
  103. Liu, Y.; Guo, L.; Chen, Y.; Wang, Y.; Xu, G.; Gu, L.; Yu, Z.; Yuan, Y. A Porphyrin-Based Metal-Organic Framework Al-TCPP for Highly Selective Sensing of Copper Ions with Exceptional Low Limit of Detection. J. Environ. Chem. Eng. 2023, 11, 111021. [Google Scholar] [CrossRef]
  104. Meng, S.; He, X.; Li, B.; Yang, Y.; Mao, S.; Li, Z. A Luminescent Lanthanide Functionalized Hydrogen-Bonded Organic Framework Hydrogel: Fluorescence Sensing Platform for Copper and Iron Ions Detection. Talanta 2025, 285, 127420. [Google Scholar] [CrossRef]
  105. Wang, Y.; Zheng, Y.; Huo, F.; Zhang, Q.; Yang, X.; Karmaker, P.G. Ratiometric Fluorescence Sensor Based on Europium-Organic Frameworks for Selective and Quantitative Detection of Cerium Ions. Anal. Chim. Acta 2024, 1287, 342131. [Google Scholar] [CrossRef]
  106. Bodkhe, G.A.; Siva, S.; Gaikwad, D.K.; Tsai, M.L.; Hianik, T.; Kim, M.; Shirsat, M.D. Ag Nanoparticles Incorporated Metal Organic Framework (Ag@ZnBDC): Highly Sensitive and Selective Detection of Hg2+ Ions. J. Phys. Chem. Solids 2024, 193, 112142. [Google Scholar] [CrossRef]
  107. Zhang, L.; Xu, Y.; Xu, J.; Zhang, H.; Zhao, T.; Jia, L. Intelligent Multicolor Nano-Sensor Based on Nontoxic Dual Fluoroprobe and MOFs for Colorful Consecutive Detection of Hg2+ and Cysteine. J. Hazard. Mater. 2022, 430, 128478. [Google Scholar] [CrossRef]
  108. Liu, J.; Zhao, C.; Yang, J.; Zhou, Y.; Du, H.; Yang, Y.; Yang, Y. A Novel Hybrid Lanthanide Metal-Organic Frameworks Based on Porphyrin for Rapid Detection of Iron Ions. Anal. Chim. Acta 2024, 1319, 342961. [Google Scholar] [CrossRef] [PubMed]
  109. Mao, X.; Li, H.; Shi, Y.; Liu, J.; Kuai, L.; Yang, F.; Wu, C. A Multifunctional Fluorescence Sensor Based Zn(II) Metal-Organic Framework for Rapid and Sensitive Detection Fe3+ and Al3+. Polyhedron 2024, 264, 117246. [Google Scholar] [CrossRef]
  110. He, X.; Wang, J.; Niu, G.; Zhu, D. Eu3+ Functionalized Gd-BTC: Turn-off Fluorescent Switch for Selectively Detecting Acetone and Fe3+. J. Mol. Struct. 2022, 1267, 133663. [Google Scholar] [CrossRef]
  111. Ding, N.; Liu, R.; Zhang, B.; Yang, N.; Qin, M.; Zhang, Y.; Wang, Z. A Fluorescent Nanoprobe and Paper-Based Nanofiber Platform for Detection and Imaging of Fe3+ in Actual Samples and Living Cells. Talanta 2024, 271, 125713. [Google Scholar] [CrossRef]
  112. Kabir, H.M.; Ehab, F.A.; El-Hady, M.S. Functional Metal-Organic Frameworks-Based Sensing for the Sensitive Determination of Heavy Metals in Polluted Water. In Proceedings of the 74th Southeastern Regional Meeting of the American Chemical Society, SERMACS 2023; American Chemical Society: Durham, UK, 2023; p. 1053. [Google Scholar]
  113. Pournara, A.D.; Margariti, A.; Tarlas, G.D.; Kourtelaris, A.; Petkov, V.; Kokkinos, C.; Economou, A.; Papaefstathiou, G.S.; Manos, M.J. A Ca 2+ MOF Combining Highly Efficient Sorption and Capability for Voltammetric Determination of Heavy Metal Ions in Aqueous Media. J. Mater. Chem. A Mater. 2019, 7, 15432–15443. [Google Scholar] [CrossRef]
  114. Wang, X.; Qi, Y.; Shen, Y.; Yuan, Y.; Zhang, L.; Zhang, C.; Sun, Y. A Ratiometric Electrochemical Sensor for Simultaneous Detection of Multiple Heavy Metal Ions Based on Ferrocene-Functionalized Metal-Organic Framework. Sens. Actuators B Chem. 2020, 310, 127756. [Google Scholar] [CrossRef]
  115. Ahmadijokani, F.; Tajahmadi, S.; Bahi, A.; Molavi, H.; Rezakazemi, M.; Ko, F.; Aminabhavi, T.M.; Arjmand, M. Ethylenediamine-Functionalized Zr-Based MOF for Efficient Removal of Heavy Metal Ions from Water. Chemosphere 2021, 264, 128466. [Google Scholar] [CrossRef]
  116. Lu, M.; Deng, Y.; Luo, Y.; Lv, J.; Li, T.; Xu, J.; Chen, S.W.; Wang, J. Graphene Aerogel-Metal-Organic Framework-Based Electrochemical Method for Simultaneous Detection of Multiple Heavy-Metal Ions. Anal. Chem. 2019, 91, 888–895. [Google Scholar] [CrossRef]
  117. Wang, Y.; Wang, L.; Huang, W.; Zhang, T.; Hu, X.; Perman, J.A.; Ma, S. A Metal–Organic Framework and Conducting Polymer Based Electrochemical Sensor for High Performance Cadmium Ion Detection. J. Mater. Chem. A Mater. 2017, 5, 8385–8393. [Google Scholar] [CrossRef]
  118. Farahani, Y.D.; Safarifard, V. Highly Selective Detection of Fe3+, Cd2+ and CH2Cl2 Based on a Fluorescent Zn-MOF with Azine-Decorated Pores. J. Solid State Chem. 2019, 275, 131–140. [Google Scholar] [CrossRef]
  119. Li, M.; Qi, X.; Gao, G.; Cao, Y.; Zhang, W.; Ma, Y.; Tang, B. A Ratiometric Multimode Optical Sensor for Highly Selective and Sensitive Detection of Ammonia by Hydrogen Bonding Interaction Regulatio5. Anal. Chem. 2024, 97, 14722–14730. [Google Scholar] [CrossRef]
  120. Song, Z.; Luo, T.; Ke, J.; Hu, S.; Yang, W.; Ni, J.; Chen, X.; Chen, Z. A New-Style Pohotoelectrochemical Sensing Device Based on NH2-UiO-66@Bi2O3 for the Sensitive Detection of Hydrogen Sulfide. Microchem. J. 2024, 206, 111669. [Google Scholar] [CrossRef]
  121. Li, S.; Zhang, P.; Zhao, X.; Liu, Y. Green/Red Emission Modulation via Tb/Eu Co-Doping in MOF Host for the Ratiometric Sensing of Peroxyacetic Acid. J. Mol. Struct. 2023, 1276, 134778. [Google Scholar] [CrossRef]
  122. Men, Y.; Qin, Z.; Yang, Z.; Zhang, P.; Li, M.; Wang, Q.; Zeng, D.; Yin, X.; Ji, H. Antibacterial Defective-ZIF-8/PPY/BC-Based Flexible Electronics as Stress-Strain and NO2 Gas Sensors. Adv. Funct. Mater. 2024, 34, 2316633. [Google Scholar] [CrossRef]
  123. Lu, Y.; Xiong, R.; Lin, X.; Zhang, L.; Meng, X.; Luo, Z. CsPbBr3 NCs Confined and In Situ Grown in ZIF-8: A Stable, Sensitive, Reliable Fluorescent Sensor for Evaluating the Acid Value of Edible Oils. ACS Appl. Mater. Interfaces 2024, 16, 42772–42782. [Google Scholar] [CrossRef]
  124. Gao, G.; Li, M.; Qi, X.; Cao, Y.; Zhang, W.; Ma, Y.; Tang, B. A Highly Selective Ammonia Ratiometric Fluorescence Sensor Based on Multifunctional Metal-Organic Framework Platform with Rich Brønsted Acidic Metal Clusters. Anal. Chem. 2024, 96, 19706–19713. [Google Scholar] [CrossRef] [PubMed]
  125. Abascal, E.; Gómez-Coma, L.; Ortiz, I.; Ortiz, A. Global Diagnosis of Nitrate Pollution in Groundwater and Review of Removal Technologies. Sci. Total Environ. 2022, 810, 152233. [Google Scholar] [CrossRef]
  126. Karwowska, M.; Kononiuk, A. Nitrates/Nitrites in Food—Risk for Nitrosative Stress and Benefits. Antioxidants 2020, 9, 241. [Google Scholar] [CrossRef]
  127. Mishra, R.K. The Effect of Eutrophication on Drinking Water. Br. J. Multidiscip. Adv. Stud. 2023, 4, 7–20. [Google Scholar] [CrossRef]
  128. Ali, S.; Thakur, S.K.; Sarkar, A.; Shekhar, S. Worldwide Contamination of Water by Fluoride. Environ. Chem. Lett. 2016, 14, 291–315. [Google Scholar] [CrossRef]
  129. Arul, P.; Huang, S.T.; Mani, V.; Hu, Y.C. Ultrasonic Synthesis of Bismuth-Organic Framework Intercalated Carbon Nanofibers: A Dual Electrocatalyst for Trace-Level Monitoring of Nitro Hazards. Electrochim. Acta 2021, 381, 138280. [Google Scholar] [CrossRef]
  130. Yang, N.; Zhou, X.; Qi, X.; Li, J.; Fang, W.; Xue, H.; Yang, Z. A Nitrite Sensor Based on Bimetallic Zeolitic Imidazole Framework Derived Co/Porous Carbon Nanorods. Microchem. J. 2022, 182, 107910. [Google Scholar] [CrossRef]
  131. Patri, S.B.; Karekuladh, S.M.; Malingappa, P. ZIF-8/CNFs/PANI Composite as an Electrochemical Platform in Trace-Level Nitrite Sensing. Carbon Lett. 2024, 34, 421–435. [Google Scholar] [CrossRef]
  132. Liang, M.; Gao, Y.; Sun, X.; Kong, R.M.; Xia, L.; Qu, F. Metal-Organic Framework-Based Ratiometric Point-of-Care Testing for Quantitative Visual Detection of Nitrite. J. Hazard. Mater. 2024, 469, 134021. [Google Scholar] [CrossRef] [PubMed]
  133. He, M.Q.; Li, H.W.; Wu, Y. A Novel Ratiometric Fluorescent Nanosensor Based-on UiO-66-NH2 Capped Carbon Dots for Nitrite Determination. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2025, 327, 125422. [Google Scholar] [CrossRef]
  134. Bej, S.; Banerjee, P. “Caught in the Act” @ Disruption of A-ET-E Process in the Recognition of F− by a Lamellar EuIII-MOF in Heterogeneous Manner with Logic Gate Construction: From Protagonist Idea to Implementation World. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2022, 283, 121764. [Google Scholar] [CrossRef]
  135. Gupta, A.; Adusumalli, V.N.K.B.; Lee, S.Y.; Park, Y.I. Ultrasensitive Detection of CO32– and PO43– Ions through Forbidden Charge Transfer-Induced Luminescence Enhancement Using NH2-MIL-101 (Fe), and Its Onsite Real-Time Application in Anti-Counterfeiting. Sens. Actuators B Chem. 2025, 422, 136564. [Google Scholar] [CrossRef]
  136. Dang, J.; Cao, Y.; Li, Z.; Zhao, H. Highly Sensitive and Selective Fluorescence Detection of Hypochlorite by Amorphous Europium Metal-Organic Frameworks with Dual Ligands. Colloids Surf. A Physicochem. Eng. Asp. 2025, 709, 136092. [Google Scholar] [CrossRef]
  137. Fan, L.; Li, J.; Sun, C.; Zhang, J.; Zhao, Y.; Li, W.; Chang, Z. An Ultra-Sensitive Fluorescent Sensor Based on Zn-MOF for Selective Detection of Riboflavin in Food. J. Solid State Chem. 2022, 316, 123616. [Google Scholar] [CrossRef]
  138. Fu, K.; Sun, H.; Chen, X.; Liu, L.; Cao, Y.; Zhao, J.; Li, S.; Ma, W. Computer-Aided Design and Preparation of Surface Arsenite Molecularly Imprinted Polymers for Selective Adsorption and Highly Sensitive Detection of As(III). J. Hazard. Mater. 2024, 480, 136386. [Google Scholar] [CrossRef] [PubMed]
  139. Ru, J.; Wang, X.; Zhao, J.; Yang, J.; Zhou, Z.; Du, X.; Lu, X. Evaluation and Development of GO/UiO-67@PtNPs Nanohybrid-Based Electrochemical Sensor for Invisible Arsenic (III) in Water Samples. Microchem. J. 2022, 181, 107765. [Google Scholar] [CrossRef]
  140. Khezerlou, A.; Tavassoli, M.; Khalilzadeh, B.; Ehsani, A.; Kazemian, H. Metal-Organic Framework-Based Advanced Sensing Platforms for the Detection of Tetracycline in Food and Water Samples. Food Control 2023, 153, 109965. [Google Scholar] [CrossRef]
  141. Gan, Z.; Hu, X.; Xu, X.; Zhang, W.; Zou, X.; Shi, J.; Zheng, K.; Arslan, M. A portable test strip based on fluorescent europium-based metal–organic framework for rapid and visual detection of tetracycline in food samples. Food Chem. 2021, 354, 129501. [Google Scholar] [CrossRef]
  142. Liu, X.; Ma, Q.; Feng, X.; Li, R.; Zhang, X. A recycled Tb-MOF fluorescent sensing material for highly sensitive and selective detection of tetracycline in milk. Microchem. J. 2021, 170, 106714. [Google Scholar] [CrossRef]
  143. Liu, Q.; Ning, D.; Li, W.J.; Du, X.M.; Wang, Q.; Li, Y.; Ruan, W.J. Metal-organic framework-based fluorescent sensing of tetracycline-type antibiotics applicable to environmental and food analysis. Analyst 2019, 144, 1916–1922. [Google Scholar] [CrossRef] [PubMed]
  144. Li, R.; Wang, W.; El-Sayed, E.-S.M.; Su, K.; He, P.; Yuan, D. Ratiometric fluorescence detection of tetracycline antibiotic based on a polynuclear lanthanide metal–organic framework. Sens. Actuators B Chem. 2021, 330, 129314. [Google Scholar] [CrossRef]
  145. Li, C.; Yang, W.; Zhang, X.; Han, Y.; Tang, W.; Yue, T.; Li, Z. A 3D hierarchical dual-metal–organic framework heterostructure up-regulating the pre-concentration effect for ultrasensitive fluorescence detection of tetracycline antibiotics. J. Mater. Chem. C 2020, 8, 2054–2064. [Google Scholar] [CrossRef]
  146. Yang, Y.; Yang, L.; Ma, Y.; Wang, X.; Zhang, J.; Bai, B.; Yu, L.; Guo, C.; Zhang, F.; Qin, S. A novel metal–organic frameworks composite-based label-free point-of-care quartz crystal microbalance aptasensing platform for tetracycline detection. Food Chem. 2022, 392, 133302. [Google Scholar] [CrossRef]
  147. Shi, B.; Zhang, X.; Li, W.; Liang, N.; Hu, X.; Xiao, J.; Wang, D.; Zou, X.; Shi, J. An intrinsic dual-emitting fluorescence sensing toward tetracycline with self-calibration model based on luminescent lanthanide-functionalized metal-organic frameworks. Food Chem. 2023, 400, 133995. [Google Scholar] [CrossRef] [PubMed]
  148. Yao, R.; Li, Z.; Huo, P.; Gong, C.; Liu, G.; Zheng, C.; Pu, S. L-histidine functionalized ZiF-8 with aggregation-induced emission for detection of tetracycline. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2022, 280, 121546. [Google Scholar] [CrossRef]
  149. Yazhini, C.; Rafi, J.; Chakraborty, P.; Kapse, S.; Thapa, R.; Neppolian, B. Inner filter effect on amino-functionalized metal-organic framework for the selective detection of tetracycline. J. Clean. Prod. 2022, 373, 133929. [Google Scholar] [CrossRef]
  150. Gan, Z.; Zhang, W.; Shi, J.; Xu, X.; Hu, X.; Zhang, X.; Wang, X.; Arslan, M.; Xiao, J.; Zou, X. Collaborative compounding of metal-organic frameworks and lanthanide coordination polymers for ratiometric visual detection of tetracycline. Dyes Pigm. 2021, 194, 109545. [Google Scholar] [CrossRef]
  151. Bai, F.; Bu, T.; Zhang, M.; Tian, Y.; Sun, X.; Jia, P.; Zhang, Y.; Li, R.; Zhao, S.; He, K.; et al. Rhombic-like Al nanosupporter-based fluorescent immunochromatographic assay for the sensitive detection of tetracycline. Sens. Actuators B Chem. 2020, 324, 128721. [Google Scholar] [CrossRef]
  152. Li, C.; Zhu, L.; Yang, W.; He, X.; Zhao, S.; Zhang, X.; Tang, W.; Wang, J.; Yue, T.; Li, Z. Amino-functionalized Al-MOF for fluorescent detection of tetracyclines in milk. J. Agric. Food Chem. 2019, 67, 1277–1283. [Google Scholar] [CrossRef]
  153. Jia, L.; Guo, S.; Xu, J.; Chen, X.; Zhu, T.; Zhao, T. A ratiometric fluorescent nano-probe for rapid and specific detection of tetracycline residues based on a dye-doped functionalized nanoscaled metal–organic framework. Nanomaterials 2019, 9, 976. [Google Scholar] [CrossRef] [PubMed]
  154. He, J.-X.; Yuan, H.-Q.; Zhong, Y.-F.; Peng, X.-X.; Xia, Y.-F.; Liu, S.-Y.; Fan, Q.; Yang, J.L.; Deng, K.; Wang, X.Y.; et al. A luminescent Eu3+-functionalized MOF for sensitive and rapid detection of tetracycline antibiotics in swine wastewater and pig kidney. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2022, 277, 121252. [Google Scholar] [CrossRef]
  155. Chen, J.; Zhang, Q.; Xu, F.; Li, S. Bimetallic organic frame nanosheet fluorescent probe used for detecting tetracycline and folic acid. Microchem. J. 2021, 170, 106673. [Google Scholar] [CrossRef]
  156. Chen, J.; Xu, Y.; Li, S.; Xu, F.; Zhang, Q. Ratio fluorescence detection of tetracycline by a Eu3+/NH2-MIL-53(Al) composite. RSC Adv. 2021, 11, 2397–2404. [Google Scholar] [CrossRef]
  157. Song, J.; Huang, M.; Lin, X.; Li, S.F.Y.; Jiang, N.; Liu, Y.; Guo, H.; Li, Y. Novel Fe-based metal–organic framework (MOF) modified carbon nanofiber as a highly selective and sensitive electrochemical sensor for tetracycline detection. Chem. Eng. J. 2022, 427, 130913. [Google Scholar] [CrossRef]
  158. Zhang, Y.; Wei, J.; Xing, L.; Li, J.; Xu, M.; Pan, G.; Li, J. Superoxide radical mediated persulfate activation by nitrogen doped bimetallic MOF (FeCo/N-MOF) for efficient tetracycline degradation. Sep. Purif. Technol. 2022, 282, 120124. [Google Scholar] [CrossRef]
  159. Khataee, A.; Jalili, R.; Dastborhan, M.; Karimi, A.; Ebadi Fard Azar, A. Ratiometric visual detection of tetracycline residues in milk by framework-enhanced fluorescence of gold and copper nanoclusters. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2020, 242, 118715. [Google Scholar] [CrossRef]
  160. Wang, X.; Zhang, L.; Ye, N.; Xiang, Y. Synthesis of a dual metal–organic framework heterostructure as a fluorescence sensing platform for rapid and sensitive detection of tetracycline in milk and beef samples. Food Anal. Methods 2020, 15, 2801–2809. [Google Scholar] [CrossRef]
  161. Feng, Y.; Yan, T.; Wu, T.; Zhang, N.; Yang, Q.; Sun, M.; Yan, L.; Du, B.; Wei, Q. A label-free photoelectrochemical aptasensing platform base on plasmon Au coupling with MOF-derived In2O3@ g-C3N4 nanoarchitectures for tetracycline detection. Sens. Actuators B Chem. 2019, 298, 126817. [Google Scholar] [CrossRef]
  162. Chen, F.-Z.; Gao, Y.; Li, Y.-J.; Li, W.; Wu, X.-Y.; Han, D.-M.; Zhao, W.W. Photoelectrochemical detection of tetracycline with exceptional speediness, ultralow detection limit, and high selectivity. Sens. Actuators B Chem. 2022, 361, 131651. [Google Scholar] [CrossRef]
  163. Li, X.S.; An, J.D.; Zhang, H.M.; Liu, J.J.; Li, Y.; Du, G.X.; Wu, X.X.; Fei, L.; Lacoste, J.D.; Cai, Z.; et al. Cluster-based CaII, MgII and CdII coordination polymers based on amino-functionalized tri-phenyl tetra-carboxylate: Bi-functional photo-luminescent sensing for Fe3+ and antibiotics. Dyes Pigm. 2019, 170, 107631. [Google Scholar] [CrossRef]
  164. Zhao, Y.; Wang, Q.; Wang, H.; Zhangsun, H.; Sun, X.; Bu, T.; Liu, Y.; Wang, W.; Xu, Z.; Wang, L. Europium-based metal-organic framework containing characteristic metal chains: A novel turn-on fluorescence sensor for simultaneous high-performance detection and removal of tetracycline. Sens. Actuators B Chem. 2021, 334, 129610. [Google Scholar] [CrossRef]
  165. Marimuthu, M.; Arumugam, S.S.; Sabarinathan, D.; Li, H.; Chen, Q. Metal organic framework based fluorescence sensor for detection of antibiotics. Trends Food Sci. Technol. 2021, 116, 1002–1028. [Google Scholar] [CrossRef]
  166. Wu, N.; Guo, H.; Wang, M.; Cao, Y.; Sun, L.; Yang, F.; Zhang, T.; Peng, L.; Liu, Y.; Yang, W. A novel core-shell coordination assembled hybrid via postsynthetic metal exchange for simultaneous detection and removal of tetracycline. Anal. Chim. Acta 2022, 1190, 339247. [Google Scholar] [CrossRef] [PubMed]
  167. Li, Y.; Wang, Y.; Du, P.; Zhang, L.; Liu, Y.; Lu, X. Fabrication of carbon dots@hierarchical mesoporous ZIF-8 for simultaneous ratiometric fluorescence detection and removal of tetracycline antibiotics. Sens. Actuators B Chem. 2022, 358, 131526. [Google Scholar] [CrossRef]
  168. Yang, Q.; Hong, H.; Luo, Y. Heterogeneous nucleation and synthesis of carbon dots hybrid Zr-based MOFs for simultaneous recognition and effective removal of tetracycline. Chem. Eng. J. 2020, 392, 123680. [Google Scholar] [CrossRef]
  169. Ma, H.Y.; Wu, Q.; Ma, K.X.; Yang, H.; Li, D.C.; Dou, J.M.; Li, Y.W.; Wang, S.N. An Amide Groups Functionalized Cd-MOF as Multi-Responsive Luminescent Sensor for Detecting Fe3+, Cr2O72− and OTC in Water Media. J. Mol. Struct. 2023, 1291, 136009. [Google Scholar] [CrossRef]
  170. Zhu, Y.; Tang, R.; Zhao, J.; Jiang, C.; Li, L.; Liu, B. Design and Application of Metal-Organic Framework Based Chemo-Fluorescent Sensor for Selective Sensing of the Full Spectrum of Tetracyclines in Complex Samples. Chem. Eng. J. 2025, 507, 160281. [Google Scholar] [CrossRef]
  171. Yuan, N.; Gao, T.; Ren, Y.; Liu, W.; Wang, J.; Liang, Y. EuIII-Based MOF Boosting Fluorescence Sensing for Cu2+, B4O72−, Prochloraz and Tetracycline and Enhanced Photocatalytic Degradation Efficiency. Microchem. J. 2025, 212, 113490. [Google Scholar] [CrossRef]
  172. Yong, W.; Huang, Q.C.; Mu, H.Y.; Shi, W.X.; Dai, B.L.; Kong, J.J.; Chen, X.R.; Huang, X.C. A Luminescent Zn(II) Metal−organic Framework Assembled with a Thiazolothiazole Chromophore for Sensing Mainly Cobalt(II) and Nitrofuran Antibiotics in Aqueous Solutions. J. Mol. Struct. 2024, 1301, 137424. [Google Scholar] [CrossRef]
  173. Zhang, L.; Zhang, S.; Zhao, Z.; Wu, S. Fluorescence Ratiometric Antibiotic Detection with a Single Lanthanide Metal-Organic Framework. Eur. J. Inorg. Chem. 2023, 26, e202200790. [Google Scholar] [CrossRef]
  174. Shukla, V.; Ahmad, M.; Siddiqui, K.A. Synthesis of Dual Functional Zn(II) MOF for Colorimetric Detection of Norfloxacin and Photocatalytic Degradation of Ornidzole Drugs in Aqueous Medium. Polyhedron 2024, 260, 117078. [Google Scholar] [CrossRef]
  175. Wang, Q.; He, B.; Liu, Y.; Wu, L.; Zhao, W.; Xie, D.; Ren, W.; Xu, Y. A Portable and Efficient Strategy for Ofloxacin Detection Using Ce-Based MOF-Loaded Glucose Oxidase and a Personal Glucose Meter. Anal. Chim. Acta 2025, 1351, 343880. [Google Scholar] [CrossRef] [PubMed]
  176. Zhang, D.; He, M.; Qin, C.; Wu, Z.; Cao, M.; Ni, D.; Yu, Z.; Liang, P. A highly effective SERS platform formed by the fabrication of Ag@ZIF-8@Au nanoparticles for rapid detection of acetamiprid in environment. Spectrochim. Acta A Molec. Biomolec. Spectrosc. 2024, 308, 123754. [Google Scholar] [CrossRef] [PubMed]
  177. Zhang, S.; Xiong, J.; Wang, S.; Li, Z.; Qin, L.; Sun, B.; Wang, Z.; Liu, X.; Zheng, Y.; Jiang, H. Four Birds with One Stone: Aggregation-Induced Emission-Type Zeolitic Imidazolate Framework-8 Based Bionic Nanoreactor for Portable Detection of Olaquindox in Environmental Water and Swine Urine by Smartphone. J. Hazard. Mater. 2024, 469, 134068. [Google Scholar] [CrossRef]
  178. Sha, H.; Yan, B. Eu3+ Functionalized Metal-Organic Framework for Selective Monitoring of Emerging Environmental Pollutants Non-Steroidal Anti-Inflammatory Drugs. Anal. Chim. Acta 2023, 1272, 341525. [Google Scholar] [CrossRef]
  179. Fu, Z.; Chen, Z.; Yang, L.; Wang, H.; Xie, J.; Ding, Z. A RhB@Tb-MOF Sensor for Selective Detection of Malachite Green and Leucomalachite Green. J. Food Compos. Anal. 2025, 140, 107311. [Google Scholar] [CrossRef]
  180. Jiang, L.; Li, C.; Hou, X. Smartphone-Based Dual Inverse Signal MOFs Fluorescence Sensing for Intelligent on-Site Visual Detection of Malachite Green. Talanta 2024, 274, 126039. [Google Scholar] [CrossRef]
  181. Zhou, J.; Liu, J.; Pan, P.; Li, T.; Yang, Z.; Wei, J.; Li, P.; Liu, G.; Shen, H.; Zhang, X. Electrochemical Determination of Levofloxacin with a Cu–Metal–Organic Framework Derivative Electrode. J. Mater. Sci. Mater. Electron. 2022, 33, 9941–9950. [Google Scholar] [CrossRef]
  182. Afzal, M.H.; Pervaiz, W.; Huang, Z.; Wang, Z.; Li, G.; Liu, H. In Situ Synthesis of a UIO-66-NH 2 @Ti 3 C 2 Composite for Advanced Electrochemical Detection of Acetaminophen. Nanoscale 2025, 17, 4444–4454. [Google Scholar] [CrossRef] [PubMed]
  183. Li, Z.; Xu, X.; Quan, H.; Zhang, J.; Zhang, Q.; Fu, Y.; Ying, Y.; Li, Y. Adsorptive and Responsive Hybrid Sponge of Melamine Foam and Metal Organic Frameworks for Rapid Collection/Removal and Detection of Mycotoxins. Chem. Eng. J. 2021, 410, 128268. [Google Scholar] [CrossRef]
  184. Tiwari, J.; Tarale, P.; Sivanesan, S.; Bafana, A. Environmental Persistence, Hazard, and Mitigation Challenges of Nitroaromatic Compounds. Environ. Sci. Pollut. Res. 2019, 26, 28650–28667. [Google Scholar] [CrossRef]
  185. Panigrahy, N.; Priyadarshini, A.; Sahoo, M.M.; Verma, A.K.; Daverey, A.; Sahoo, N.K. A Comprehensive Review on Eco-Toxicity and Biodegradation of Phenolics: Recent Progress and Future Outlook. Environ. Technol. Innov. 2022, 27, 102423. [Google Scholar] [CrossRef]
  186. Sebastian, N.; Yu, W.C.; Balram, D.; Noman, M.T.; Amor, N. Silver Doped Dodecahedral Metal-Organic Framework Anchored RGO Nanosheets for Nanomolar Quantification of Priority Toxic Pollutant in Aquatic Environment. J. Alloys Compd. 2022, 922, 166180. [Google Scholar] [CrossRef]
  187. Ji, L.; Li, F.; Jia, Q.; Yao, Y.; Zhu, X.; Li, Z.; Hu, P. Signal-Amplified Electrochemical Monitoring of 4-Chlorophenol in Water Environments Based on Ni-BDC Decorated Multi-Walled Carbon Nanotubes. J. Environ. Chem. Eng. 2024, 12, 113532. [Google Scholar] [CrossRef]
  188. Chen, J.; Zhang, Q.; Dong, J.; Xu, F.; Li, S. Amino-Functionalized Cu Metal–Organic Framework Nanosheets as Fluorescent Probes for Detecting TNP. Anal. Methods 2021, 13, 5328–5334. [Google Scholar] [CrossRef]
  189. Chen, L.; Cheng, Z.; Peng, X.; Qiu, G.; Wang, L. Eu-Doped MOF-Based High-Efficiency Fluorescent Sensor for Detecting 2,4-Dinitrophenol and 2,4,6-Trinitrophenol Simultaneously. Anal. Methods 2021, 14, 44–51. [Google Scholar] [CrossRef] [PubMed]
  190. Kamal, S.; Khalid, M.; Khan, M.S.; Shahid, M.; Ahmad, M. A Zinc(II) MOF for Recognition of Nitroaromatic Explosive and Cr(III) Ion. J. Solid State Chem. 2022, 315, 123482. [Google Scholar] [CrossRef]
  191. Arya, K.; Kumar, A.; Sharma, I.; Singh, S.; Mehta, S.K.; Kansal, S.K.; Kataria, R. A Highly Sensitive and Selective Zn-Based Luminescent MOF for Specific Detection of Trinitrotoluene in Aqueous Phase. J. Mol. Struct. 2024, 1307, 138008. [Google Scholar] [CrossRef]
  192. Singha, D.; Panda, J.; Rana, M.K. Uncovering the Latent Responsiveness of the Water-Stable, Luminescent Zn-BDC MOF with Distinct Morphology for Advanced Sensing of Nitro Explosives and Ions. J. Phys. Chem. C 2024, 128, 19013–19023. [Google Scholar] [CrossRef]
  193. Zhang, X.; Zhang, J.; Yan, D.; Chen, Z.; Song, S.; Yuan, F. Aptamer Encapsulated Inside the Array Channel of Ni-MOF for Bisphenol A Determination in Multi-Interference System. ChemistrySelect 2024, 9, e202400942. [Google Scholar] [CrossRef]
  194. Sohrabi, H.; Sani, P.S.; Orooji, Y.; Majidi, M.R.; Yoon, Y.; Khataee, A. MOF-Based Sensor Platforms for Rapid Detection of Pesticides to Maintain Food Quality and Safety. Food Chem. Toxicol. 2022, 165, 113176. [Google Scholar] [CrossRef]
  195. Jiao, Z.H.; Hou, S.L.; Kang, X.M.; Yang, X.P.; Zhao, B. Recyclable Luminescence Sensor for Dinotefuran in Water by Stable Cadmium-Organic Framework. Anal. Chem. 2021, 93, 6599–6603. [Google Scholar] [CrossRef]
  196. Peng, X.X.; Bao, G.M.; Zhong, Y.F.; Zhang, L.; Zeng, K.B.; He, J.X.; Xiao, W.; Xia, Y.F.; Fan, Q.; Yuan, H.Q. Highly Sensitive and Rapid Detection of Thiabendazole Residues in Oranges Based on a Luminescent Tb3+-Functionalized MOF. Food Chem. 2021, 343, 128504. [Google Scholar] [CrossRef]
  197. Wang, Y.; Wang, X.; Chu, M.; Xin, J.; Liu, Y.; Pang, H.; Yang, G.; Ma, H. Construction of Defect-Rich Bimetallic MOF Loaded on N, S-Codoped MXene QDs/RGO for Electrochemical Detection of Catechol. Anal. Chim. Acta 2025, 1346, 343770. [Google Scholar] [CrossRef]
  198. Ji, B.T.; Liu, L.P.; Chen, J.H.; Gao, L.L.; Sun, Y.; Wang, J.J.; Deng, Z.P.; Sun, Y.X. Ratiometric Fluorescence Sensor Based on Dye-Encapsulated Zn-MOF for Highly Sensitive Detection of Diquat in Tap Water and Apple Samples. Microchem. J. 2024, 207, 111663. [Google Scholar] [CrossRef]
  199. Gu, C.; Ji, S.; Chen, Z.; Yang, W.; Deng, Y.; Zhao, M.; Huang, W.; Yang, W.; Xu, W. Enrichment-Catalytic Synergistically Enhanced Electrochemiluminescence Sensors Based on IRMOF-3/CdTe for Ultrasensitive Detection of Organophosphorus Pesticides. Biosens. Bioelectron. 2025, 279, 117398. [Google Scholar] [CrossRef]
  200. Yang, F.; Li, S.; Ma, J.; Jia, Q. Confinement of CuNCs with AZIF-8 via One-Pot Encapsulation: Construction of an Enzyme-Free Sensor toward Fluorescence and Smartphone Detection of Chlorpyrifos Based on the Inner Filter Effect. J. Food Compos. Anal. 2024, 135, 106685. [Google Scholar] [CrossRef]
  201. Wan, C.Q.; Pang, Y.H.; Yang, Q.Y.; Yang, C.L.; Shen, X.F. Paper-Based Analytical Device Coupled with Bi-MOF: Electric Field Amplification and Fluorescence Sensing of Glyphosate. Anal. Chim. Acta 2023, 1248, 340930. [Google Scholar] [CrossRef] [PubMed]
  202. Niu, Z.; Liu, Y.; Li, X.; Yan, K.; Chen, H. Electrochemical Sensor for Ultrasensitive Detection of Paraquat Based on Metal-Organic Frameworks and Para-Sulfonatocalix[4]Arene-AuNPs Composite. Chemosphere 2022, 307, 135570. [Google Scholar] [CrossRef]
  203. Elfiky, M.; Abdo, M.; Darwesh, M.; Salahuddin, N. Ultra-Sensitive Detection of 4-Chloro-2-Methylphenoxyacetic Acid Herbicide Using a Porous Co-1,4-Benzenedicarboxylate/Montmorillonite Nanocomposite Sensor. Microchim. Acta 2025, 192, 30. [Google Scholar] [CrossRef]
  204. Zhao, Y.; Ye, Y.; Wu, Z.; Jiang, J.; Li, Z.; Lei, H.; Jiang, F.; Chen, L.; Hong, M. Manipulating Weak Interactions between Host/Guest and Analytes in Cu(I)-Cluster-Based MOF for Fluorescent Gas Sensing towards Chlorinated Volatile Organic Compounds. Chem. Eng. J. 2025, 506, 159923. [Google Scholar] [CrossRef]
  205. Zheng, X.; Li, C.; Yang, N.; Niu, L.; Gao, F.; Wang, Q. Electrochemical Sensing of Perfluorooctanoic Acid via a Rationally Designed Fluorine-Functionalized Cu-MOF and In-Depth Analysis of Sensing Mechanism. Anal. Chem. 2025, 97, 6347–6358. [Google Scholar] [CrossRef]
  206. Kang, K.; Dai, X.; Shen, N.; Xie, R.; Zhang, X.; Lei, L.; Wang, S.; Xiao, C. Unveiling the Uncommon Fluorescent Recognition Mechanism towards Pertechnetate Using a Cationic Metal–Organic Framework Bearing N-Heterocyclic AIE Molecules. Chem.–A Eur. J. 2021, 27, 5632–5637. [Google Scholar] [CrossRef]
  207. Cui, A.Q.; Wu, X.Y.; Ye, J.B.; Song, G.; Chen, D.Y.; Xu, J.; Liu, Y.; Lai, J.P.; Sun, H. “Two-in-One” Dual-Function Luminescent MOF Hydrogel for Onsite Ultra-Sensitive Detection and Efficient Enrichment of Radioactive Uranium in Water. J. Hazard. Mater. 2023, 448, 130864. [Google Scholar] [CrossRef]
  208. Xie, J.; Liang, J.; Lei, J.; Xiao, Y.; Luo, F.; Hu, B. Highly Sensitive and Selective Detection of Uranyl Ions Based on a Tb3+-Functionalized MOF via Competitive Host-Guest Coordination. Inorg. Chem. 2025, 64, 3616–3625. [Google Scholar] [CrossRef]
  209. Dong, X.; He, Q.; Li, M.; Wang, X.; Wang, Y.; Zhang, W. Fluorescence and Electrochemical Detection of Iodine Vapor in the Presence of High Humidity Using Ln-Based MOFs. Dalton Trans. 2021, 50, 15567–15575. [Google Scholar] [CrossRef]
  210. Fekete, A.; Malik, A.K.; Kumar, A.; Schmitt-Kopplin, P. Amines in the Environment. Crit. Rev. Anal. Chem. 2010, 40, 102–121. [Google Scholar] [CrossRef]
  211. Karri, R.R.; Sahu, J.N.; Chimmiri, V. Critical Review of Abatement of Ammonia from Wastewater. J. Mol. Liq. 2018, 261, 21–31. [Google Scholar] [CrossRef]
  212. Hashemian, H.; Ghaedi, M.; Dashtian, K.; Khan, S.; Mosleh, S.; Hajati, S.; Razmjoue, D. Highly Sensitive Fluorometric Ammonia Detection Utilizing Solenostemon scutellarioides (L.) Extracts in MOF-Tragacanth Gum Hydrogel for Meat Spoilage Monitoring. Sens. Actuators B Chem. 2024, 406, 135354. [Google Scholar] [CrossRef]
  213. Fang, H.; Cao, L.; Sui, J.; Lin, H.; Wang, L.; Wang, X.; Wang, K. Multifunctional Metal-Organic Framework-Enhanced Sodium Alginate-Based Intelligent Indicator: Mechanism and Application for Freshness Monitoring. Int. J. Biol. Macromol. 2024, 276, 133914. [Google Scholar] [CrossRef] [PubMed]
  214. Yang, X.C.; Fu, S.Q.; Li, Q.L.; Jiao, Z.; Zhao, J.T.; Guo, Y.; Zhang, Z.J.; Gao, S.; Cheng, L.L. Superior Triethylamine Sensing Platform Based on MOF Activated by Carbon Dots for Photoelectric Dual-Mode in Biphasic System. Chem. Eng. J. 2023, 465, 142869. [Google Scholar] [CrossRef]
  215. Khosropour, H.; Keramat, M.; Laiwattanapaisal, W. A Dual Action Electrochemical Molecularly Imprinted Aptasensor for Ultra-Trace Detection of Carbendazim. Biosens. Bioelectron. 2024, 243, 115754. [Google Scholar] [CrossRef]
  216. Wang, Y.P.; Wang, F.; Luo, D.F.; Zhou, L.; Wen, L.L. A Luminescent Nanocrystal Metal–Organic Framework for Sensing of Nitroaromatic Compounds. Inorg. Chem. Commun. 2012, 19, 43–46. [Google Scholar] [CrossRef]
  217. Kaur, R.; Paul, A.K.; Deep, A. Nanocomposite of Europium Organic Framework and Quantum Dots for Highly Sensitive Chemosensing of Trinitrotoluene. Forensic Sci. Int. 2014, 242, 88–93. [Google Scholar] [CrossRef]
  218. Li, X.; Yang, L.; Zhao, L.; Wang, X.L.; Shao, K.Z.; Su, Z.M. Luminescent Metal-Organic Frameworks with Anthracene Chromophores: Small-Molecule Sensing and Highly Selective Sensing for Nitro Explosives. Cryst. Growth Des. 2016, 16, 4374–4382. [Google Scholar] [CrossRef]
  219. Xiong, R.; Odbadrakh, K.; Michalkova, A.; Luna, J.P.; Petrova, T.; Keffer, D.J.; Nicholson, D.M.; Fuentes-Cabrera, M.A.; Lewis, J.P.; Leszczynski, J. Evaluation of Functionalized Isoreticular Metal Organic Frameworks (IRMOFs) as Smart Nanoporous Preconcentrators of RDX. Sens. Actuators B Chem. 2010, 148, 459–468. [Google Scholar] [CrossRef]
  220. Hu, Z.; Deibert, B.J.; Li, J. Luminescent Metal–Organic Frameworks for Chemical Sensing and Explosive Detection. Chem. Soc. Rev. 2014, 43, 5815–5840. [Google Scholar] [CrossRef] [PubMed]
  221. Yu, L.; Feng, L.; Xiong, L.; Li, S.; Wang, S.; Wei, Z.; Xiao, Y. Portable Visual Assay of Bacillus Anthracis Biomarker Based on Ligand-Functionalized Dual-Emission Lanthanide Metal-Organic Frameworks and Smartphone-Integrated Mini-Device. J. Hazard. Mater. 2022, 434, 128914. [Google Scholar] [CrossRef] [PubMed]
  222. Chui, S.S.Y.; Lo, S.M.F.; Charmant, J.P.H.; Orpen, A.G.; Williams, I.D. A Chemically Functionalizable Nanoporous Material [Cu3(TMA)2(H2O)3]n. Science 1999, 283, 1148–1150. [Google Scholar] [CrossRef] [PubMed]
  223. Chen, Y.; Chen, Y.; Yi, H.C.; Gu, H.W.; Yin, X.L.; Xiang, D.L.; Zou, P. An Electrochemical and Colorimetric Dual-Mode Aptasensor for Staphylococcus aureus Based on a Multifunctional MOF and Magnetic Separation Technique. Microchem. J. 2023, 190, 108681. [Google Scholar] [CrossRef]
  224. Wei, H.; Gao, L.; Fan, K.; Liu, J.; He, J.; Qu, X.; Dong, S.; Wang, E.; Yan, X. Nanozymes: A Clear Definition with Fuzzy Edges. Nano Today 2021, 40, 101269. [Google Scholar] [CrossRef]
  225. Yang, L.F.; Fu, Z.; Xie, J.; Ding, Z. Portable Sensing of Hydrogen Peroxide Using MOF-Based Nanozymes. Food Res. Int. 2024, 197, 115272. [Google Scholar] [CrossRef]
  226. Amalraj, A.; Ayyanu, R.; Pavadai, R.; Govindaraj, T.S.; Aham, E.C.; Li, X.; Deng, Y.; Zhang, Z. Smartphone Assisted Paper Strip-Based Colorimetric Sensing of Phosphate and Copper Ions Utilizing Bi-Ligand Intercalated Cobalt-MOF as a Dual Functional Nanozyme. J. Environ. Chem. Eng. 2024, 12, 113522. [Google Scholar] [CrossRef]
  227. Ren, K.; Li, Y.; Liu, Q. Rapid On-Site Colorimetric Detection of Arsenic(V) by NH2-MIL-88(Fe) Nanozymes-Based Ultraviolet-Visible Spectroscopic and Smartphone-Assisted Sensing Platforms. Anal. Chim. Acta 2025, 1336, 343523. [Google Scholar] [CrossRef] [PubMed]
  228. Cao, Q.; Tao, J.; Sun, Y.; Sun, W.; Zhao, L.; Yang, R.; Qu, L. A Smartphone-Assisted on-Site Colorimetric Sensing for Total Amount Determination of Leuco-Malachite Green and Malachite Green Based on Nanozyme Selected Oxidation Strategy. Sens. Actuators B Chem. 2024, 418, 136180. [Google Scholar] [CrossRef]
  229. Liu, J.; Hu, C.; Meng, X.; Sun, Y.; Zhao, B.; Lin, Z. Metal Covalent Organic Frameworks-Based Laccase-like Nanozyme for Oxidative Degradation and Identification of Phenolic Pollutants. J. Hazard. Mater. 2025, 487, 137142. [Google Scholar] [CrossRef]
  230. Xu, H.; Hu, H.C.; Cao, C.S.; Zhao, B. Lanthanide Organic Framework as a Regenerable Luminescent Probe for Fe3+. Inorg. Chem. 2015, 54, 4585–4587. [Google Scholar] [CrossRef] [PubMed]
  231. Hao, J.N.; Yan, B. A Water-Stable Lanthanide-Functionalized MOF as a Highly Selective and Sensitive Fluorescent Probe for Cd2+. Chem. Commun. 2015, 51, 7737–7740. [Google Scholar] [CrossRef]
  232. Tan, H.; Liu, B.; Chen, Y. Lanthanide Coordination Polymer Nanoparticles for Sensing of Mercury(II) by Photoinduced Electron Transfer. ACS Nano 2012, 6, 10505–10511. [Google Scholar] [CrossRef]
  233. Hao, J.N.; Yan, B. Highly Sensitive and Selective Fluorescent Probe for Ag+ Based on a Eu3+ Post-Functionalized Metal–Organic Framework in Aqueous Media. J. Mater. Chem. A Mater. 2014, 2, 18018–18025. [Google Scholar] [CrossRef]
  234. Cui, L.; Wu, J.; Li, J.; Ju, H. Electrochemical Sensor for Lead Cation Sensitized with a DNA Functionalized Porphyrinic Metal-Organic Framework. Anal. Chem. 2015, 87, 10635–10641. [Google Scholar] [CrossRef] [PubMed]
  235. Wang, Y.; Ge, H.; Wu, Y.; Ye, G.; Chen, H.; Hu, X. Construction of an Electrochemical Sensor Based on Amino-Functionalized Metal-Organic Frameworks for Differential Pulse Anodic Stripping Voltammetric Determination of Lead. Talanta 2014, 129, 100–105. [Google Scholar] [CrossRef]
  236. Peng, L.; Guo, H.; Wu, N.; Liu, Y.; Liu, B.; Wang, M.; Chen, Y.; Tian, J.; Yang, W. A novel dual emission ratiometric fluorescence sensor Eu3+/CDs@UiO-66 to achieve Cu2+detection in water environment. Colloids Surf. A Physicochem. Eng. Asp. 2023, 664, 131205. [Google Scholar] [CrossRef]
  237. Shi, P.F.; Hu, H.C.; Zhang, Z.Y.; Xiong, G.; Zhao, B. Heterometal–Organic Frameworks as Highly Sensitive and Highly Selective Luminescent Probes to Detect I Ions in Aqueous Solutions. Chem. Commun. 2015, 51, 3985–3988. [Google Scholar] [CrossRef]
  238. Chow, C.F.; Lam, M.H.W.; Wong, W.Y. A Heterobimetallic Ruthenium(II)-Copper(II) Donor-Acceptor Complex as a Chemodosimetric Ensemble for Selective Cyanide Detection. Inorg. Chem. 2004, 43, 8387–8393. [Google Scholar] [CrossRef]
  239. Zheng, J.; Zhou, Y. PO4-3– Ions Detection Based on UiO–66–NH2@Eu–MOFs Ratio Fluorescent Probes. J. Chinese Ceram. Soc. 2023, 51, 796–802. [Google Scholar] [CrossRef]
  240. Rumyantseva, M.N.; Makeeva, E.A.; Badalyan, S.M.; Zhukova, A.A.; Gaskov, A.M. Nanocrystalline SnO2 and In2O3 as Materials for Gas Sensors: The Relationship between Microstructure and Oxygen Chemisorption. Thin Solid Film. 2009, 518, 1283–1288. [Google Scholar] [CrossRef]
  241. Robinson, A.L.; Stavila, V.; Zeitler, T.R.; White, M.I.; Thornberg, S.M.; Greathouse, J.A.; Allendorf, M.D. Ultrasensitive Humidity Detection Using Metal-Organic Framework-Coated Microsensors. Anal. Chem. 2012, 84, 7043–7051. [Google Scholar] [CrossRef]
  242. Campbell, M.G.; Sheberla, D.; Liu, S.F.; Swager, T.M.; Dincə, M. Cu3(Hexaiminotriphenylene)2: An Electrically Conductive 2D Metal–Organic Framework for Chemiresistive Sensing. Angew. Chem. Int. Ed. 2015, 54, 4349–4352. [Google Scholar] [CrossRef] [PubMed]
  243. Smith, M.K.; Mirica, K.A. Self-Organized Frameworks on Textiles (SOFT): Conductive Fabrics for Simultaneous Sensing, Capture, and Filtration of Gases. J. Am. Chem. Soc. 2017, 139, 16759–16767. [Google Scholar] [CrossRef]
  244. Chen, E.X.; Yang, H.; Zhang, J. Zeolitic Imidazolate Framework as Formaldehyde Gas Sensor. Inorg. Chem. 2014, 53, 5411–5413. [Google Scholar] [CrossRef] [PubMed]
  245. Chen, E.X.; Fu, H.R.; Lin, R.; Tan, Y.X.; Zhang, J. Highly Selective and Sensitive Trimethylamine Gas Sensor Based on Cobalt Imidazolate Framework Material. ACS Appl. Mater. Interfaces 2014, 6, 22871–22875. [Google Scholar] [CrossRef]
  246. Stassen, I.; Bueken, B.; Reinsch, H.; Oudenhoven, J.F.M.; Wouters, D.; Hajek, J.; Van Speybroeck, V.; Stock, N.; Vereecken, P.M.; Van Schaijk, R.; et al. Towards Metal–Organic Framework Based Field Effect Chemical Sensors: UiO-66-NH2 for Nerve Agent Detection. Chem. Sci. 2016, 7, 5827–5832. [Google Scholar] [CrossRef]
  247. Pohle, R.; Tawil, A.; Davydovskaya, P.; Fleischer, M. Metal Organic Frameworks as Promising High Surface Area Material for Work Function Gas Sensors. Procedia Eng. 2011, 25, 108–111. [Google Scholar] [CrossRef]
  248. Tansell, A.J.; Jones, C.L.; Easun, T.L. MOF the Beaten Track: Unusual Structures and Uncommon Applications of Metal–Organic Frameworks. Chem. Cent. J. 2017, 11, 100. [Google Scholar] [CrossRef]
  249. Paschke, B.; Wixforth, A.; Denysenko, D.; Volkmer, D. Fast Surface Acoustic Wave-Based Sensors to Investigate the Kinetics of Gas Uptake in Ultra-Microporous Frameworks. ACS Sens. 2017, 2, 740−747. [Google Scholar] [CrossRef] [PubMed]
  250. Yua, F.; Du, T.; Wanga, Y.; Lia, C.; Qina, Z.; Jianga, H.; Wang, X. Ratiometric fluorescence sensing of UiO-66-NH2 toward hypochlorite with novel dual emission in vitro and in vivo. Sens. Actuators B. Chem. 2022, 353, 13103. [Google Scholar] [CrossRef]
  251. Chernikova, V.; Yassine, O.; Shekhah, O.; Eddaoudi, M.; Salama, K.N. Highly sensitive and selective SO2 MOF sensor: The integration of MFM-300 MOF as a sensitive layer on a capacitive interdigitated electrode. J. Mater. Chem. A 2018, 6, 5550–5554. [Google Scholar] [CrossRef]
  252. Liu, J.; Wöll, C. Surface-Supported Metal–Organic Framework Thin Films: Fabrication Methods, Applications, and Challenges. Chem. Soc. Rev. 2017, 46, 5730–5770. [Google Scholar] [CrossRef]
  253. Sachdeva, S.; Koper, S.J.H.; Sabetghadam, A.; Soccol, D.; Gravesteijn, D.J.; Kapteijn, F.; Sudhölter, E.J.R.; Gascon, J.; De Smet, L.C.P.M. Gas Phase Sensing of Alcohols by Metal Organic Framework-Polymer Composite Materials. ACS Appl. Mater. Interfaces 2017, 9, 24926–24935. [Google Scholar] [CrossRef]
  254. Liu, L.; Zhou, Y.; Liu, S.; Xu, M. The Applications of Metal−Organic Frameworks in Electrochemical Sensors. ChemElectroChem 2018, 5, 6–19. [Google Scholar] [CrossRef]
  255. Guo, L.; Chen, F.; Xie, N.; Wang, C.; Kou, X.; Sun, Y.; Ma, J.; Liang, X.; Gao, Y.; Lu, G. Metal–Organic Frameworks Derived Tin-Doped Cobalt Oxide Yolk-Shell Nanostructures and Their Gas Sensing Properties. J. Colloid Interface Sci. 2018, 528, 53–62. [Google Scholar] [CrossRef]
  256. Zhou, T.; Sang, Y.; Wang, X.; Wu, C.; Zeng, D.; Xie, C. Pore Size Dependent Gas-Sensing Selectivity Based on ZnO@ZIF Nanorod Arrays. Sens. Actuators B Chem. 2018, 258, 1099–1106. [Google Scholar] [CrossRef]
  257. Zhu, M.; Wu, X.; Niu, B.; Guo, H.; Zhang, X. Fluorescence sensing of 2,4,6-trinitrophenol based on hierarchical IRMOF-3 nanosheets fabricated through a simple one-pot reaction. Appl. Organometal. Chem. 2018, 32, e4333. [Google Scholar] [CrossRef]
  258. Wang, X.F.; Song, X.Z.; Sun, K.M.; Cheng, L.; Ma, W. MOFs-Derived Porous Nanomaterials for Gas Sensing. Polyhedron 2018, 152, 155–163. [Google Scholar] [CrossRef]
  259. Aliev, S.B.; Gurskiy, S.I.; Zakharov, V.N.; Kustov, L. Synthesis of Novel Nanoporous Metal-Organic Gels with Tunable Porosity and Sensing of Aromatic Compounds. Microporous Mesoporous Mater. 2018, 264, 112–117. [Google Scholar] [CrossRef]
Figure 2. Functionalization and signal transduction of PCP-based composites for sensing applications. Reprinted with permission from [37].
Figure 2. Functionalization and signal transduction of PCP-based composites for sensing applications. Reprinted with permission from [37].
Crystals 16 00279 g002
Figure 3. Fabrication scheme of the sensor and electrochemical detection of NO2. Reprinted with permission from [131].
Figure 3. Fabrication scheme of the sensor and electrochemical detection of NO2. Reprinted with permission from [131].
Crystals 16 00279 g003
Scheme 1. Synthesis route of BCDs/Eu-MOF and its mechanism for detecting TCs (S denotes singlet states, T represents triplet states, ISC stands for intersystem crossing, and ET indicates energy transfer). Reprinted with permission from [170].
Scheme 1. Synthesis route of BCDs/Eu-MOF and its mechanism for detecting TCs (S denotes singlet states, T represents triplet states, ISC stands for intersystem crossing, and ET indicates energy transfer). Reprinted with permission from [170].
Crystals 16 00279 sch001
Figure 4. A water stable lanthanide metal–organic framework (Tb-TCPB) with dual emitting centers. The single-Ln3+-based dual-emission MOF presents a promising strategy to develop low-cost and effective ratiometric sensors. Reprinted with permission from [173].
Figure 4. A water stable lanthanide metal–organic framework (Tb-TCPB) with dual emitting centers. The single-Ln3+-based dual-emission MOF presents a promising strategy to develop low-cost and effective ratiometric sensors. Reprinted with permission from [173].
Crystals 16 00279 g004
Figure 5. Analysis of detection mechanism. (A) Influence of MG on the UV–Vis absorption signal of RhB@Tb-MOF. (B) Effect of LMG on the fluorescence signal of RhB@Tb-MOF. (C) Spectral overlap between the absorption spectra of MG and the emission as well as excitation spectra of RhB@Tb-MOF. (D) Fluorescence lifetime of RhB@Tb-MOF without or with MG. (E) Schematic diagram of the principle of fluorescence detection of MG and LMG. Reprinted with permission from [179].
Figure 5. Analysis of detection mechanism. (A) Influence of MG on the UV–Vis absorption signal of RhB@Tb-MOF. (B) Effect of LMG on the fluorescence signal of RhB@Tb-MOF. (C) Spectral overlap between the absorption spectra of MG and the emission as well as excitation spectra of RhB@Tb-MOF. (D) Fluorescence lifetime of RhB@Tb-MOF without or with MG. (E) Schematic diagram of the principle of fluorescence detection of MG and LMG. Reprinted with permission from [179].
Crystals 16 00279 g005
Figure 6. Scheme for the synthesis of Eu@MOF-253 and its interaction with 2,4DNP and TNP. Reprinted with permission from [189].
Figure 6. Scheme for the synthesis of Eu@MOF-253 and its interaction with 2,4DNP and TNP. Reprinted with permission from [189].
Crystals 16 00279 g006
Figure 7. Fluorescence spectra of PUC2 after adding TNT and Stern-Volmer plot. Reprinted with permission from [191].
Figure 7. Fluorescence spectra of PUC2 after adding TNT and Stern-Volmer plot. Reprinted with permission from [191].
Crystals 16 00279 g007
Figure 8. BPA detection mechanism of ssDNA@Ni-MOF sensor. Reprinted with permission from [193].
Figure 8. BPA detection mechanism of ssDNA@Ni-MOF sensor. Reprinted with permission from [193].
Crystals 16 00279 g008
Figure 9. Scheme of pesticide distribution in nature and their detection by MOFs. Reprinted with permission from [194].
Figure 9. Scheme of pesticide distribution in nature and their detection by MOFs. Reprinted with permission from [194].
Crystals 16 00279 g009
Figure 10. Scheme of paper-based geometric field enhancement device visualized by amino-functionalized bismuth metal–organic framework (NH2–Bi-MOF) for sensitive fluorescence detection of glyphosate. Reprinted with permission from [201].
Figure 10. Scheme of paper-based geometric field enhancement device visualized by amino-functionalized bismuth metal–organic framework (NH2–Bi-MOF) for sensitive fluorescence detection of glyphosate. Reprinted with permission from [201].
Crystals 16 00279 g010
Figure 11. The method of producing PDA/-@CABA/H-Al-MOF@AuNPs/SPE. Reprinted with permission from [215].
Figure 11. The method of producing PDA/-@CABA/H-Al-MOF@AuNPs/SPE. Reprinted with permission from [215].
Crystals 16 00279 g011
Table 1. Chemical analytes studied using PCP/MOF materials in sensor applications.
Table 1. Chemical analytes studied using PCP/MOF materials in sensor applications.
Class of Target ChemicalsRepresentative Examples Available in the Literature
CationsFe3+, Al3+, Cu2+, Zn2+, Cd2+, Hg2+, Ag+, Pb2+, Ca2+, Co2+, Ni2+, Cr3+, Mg2+, Mn2+, Bi3+, Pb2+, Cd2+, Ln3+ (Eu3+, Tb3+), Pd2+, K+, etc.
AnionsF, Cl, Br, I, CN, SCN, N3, NO2, NO3, N(CN)2, CO32−, PO43−, ClO4, ClO, BF4, B4O72−, MnO42−, CrO42−, Cr2O72−, etc.
Inorganic moleculesO2, H2, NH3, NO, NO2, HCl, H2O, H2S, I2, CO, CO2, N2H4, etc.
Organic moleculesAlkanes, alkenes, alcohols, amines, aminoalcohols, aminoacids, nitro aromatic compounds, aldehydes, formaldehyde, dimethyl ether, ketones, phenol, chloroform, DMF, explosives, phosphor-organic compounds, antibiotics, mycotoxins, peracids, oxidized edible oil etc.
Table 2. Sensing of inorganic anions using MOF materials.
Table 2. Sensing of inorganic anions using MOF materials.
MOF-Based SensorPollutantMethodDetection Limit, µMLinear Range, µMRef.
Bi-MOF/CNFsNO2Amp.0.0001840.002–2000[129]
CoN-PCRsNO2Amp.0.140.2–4000/4000–10,000[130]
CNF/PANI/ZIF-8NO2Vol.8.116–835[131]
Ru@NH2-UiO-66NO2Flu.0.50.6–1.5[132]
CDs/NH2-UiO-66NO2Flu.0.760.5–2[133]
Eu@CMERIFFlu.1.5-[134]
NH2-MIL-101(Fe)CO32−Flu.0.014-[135]
NH2-MIL-101(Fe)PO43−Flu.0.131-[135]
amEu-ENX/NH2BDCClOFlu.0.030.05–40[136]
[Zn(L)(H2O)]⋅DMFCr2O72−Flu.0.2350–600[137]
[Zn(L)(H2O)]⋅DMFCrO42−Flu.2.0620–800[137]
Amp.—amperometry, Vol.—voltammetry, Flu.—fluorescence.
Table 3. Characteristics of monofunctional MOF-based sensors for TC determination in food samples.
Table 3. Characteristics of monofunctional MOF-based sensors for TC determination in food samples.
Type of MOF-Based SensorsMOF (Metal/Ligand)Mechanism of DetectionSamplesLinear RangeLOD (nM)Response Time (s)Ref.
MonometallicEu(NO3)3·6H2O/H3BDCIFE and PETMilk and beef0–140 μM9.860[141]
Tb(NO3)3·6H2O/H2LIFPRaw milk and
pasteurized milk
0–100 μmol/L
100–244 μmol/L
84120[142]
InCl3/H2sbdcFRETMilk, pork and fish0–30 μm280-[143]
Tb(NO3)3·6H2O/H3L1IFETap water0.06–10 mg/mL18-[144]
ModifiedAlCl3·6H2O/NH2-BDCIFE and PETMilk0.001–53.33 μM0.53480[145]
Zn(NO3)2·H2O/2-MIMChelation of Zn2+ and TC, π-π stacking and H-bonding 2-MIM and TCDrink water, milk, beef samples0.01–1 μM
5–30 μM
2.4180[146]
ZrCl4/PMAIFE and PETMilk, pork, honey and tap water0.01–200 μM12.860[147]
Zn(CH3COO)2·H2O/2-MIMIFEDrinking water and tap water0–40 μM
40–150 μM
110-[148]
ZnCl2/2-MIM and l-histidineElectrostatic interaction and H-bondingMilk and honey0.1–20 μM28.660[149]
Zn(CH3CO2)2·H2O/BDCAntenna effectMilk and pork0–20 μM18.5120[150]
AlCl3/NH2-BDCElectrostatic/π-π stacking and Van der WaalsBeef, chicken, milk, honey0.02–0.375 ng/mL0.12-[151]
AlCl3·6H2O/NH2-BDCIFE and PETMilk0.00–72.33 μM26.1630[152]
ZrCl4/BDC-Honey and milk0.1 and 6 μM17.960[153]
ZrCl4/p-CBAEnergy transfer from UiO-66-(COOH)2/p-CBA to TCPig kidney0–50 μM2630[154]
FeCl3·6H2O/H2BDC-Tap water0.0643–1.53 μmol/L26-[155]
AlCl3·6H2O/NH2-H2BDC-Tap water0.5–60 mM16060[156]
CompositeFeCl3·6H2O/NH2BDC-Tap water0.1–105 nM0.1120[157]
ZrCl4/H4BTCCIFE and Antenna effectMilk and Honey0–4 μM3.1614[158]
Zn(NO3)2·H2O/2-MIM-Raw and pasteurized cow Milk20–650 nM4.8300[159]
ZIF-8@PCN-128Y-Milk and beef0.4–200 μM6025[160]
In(NO3)3·H2O/H2BDC-Milk0.01–500 nmol/L0.0033-[161]
ZIF-8Electron transferMilk1 pM–100 nM0.0001-[162]
H3BDC: Trimesic acid; IFE: Inner filter effect; PET: Photoinduced electron transfer; FRET: Förster resonance energy transfer; H2sbdc: 5,5-dioxo-5H-dibenzo[b, d]thiophene-3,7-dicarboxylic acid; H2L: 5-(pyridin-4-ylmethoxy) isophthalic acid; PMA: Benzene-1, 2, 4, 5-tetracarboxylic acid; NH2-BDC: 2-Aminoterephthalic acid; BDC: 1,4-benzene dicarboxylic acid; MIM: 2-methylimidazole; H3L1: 1,1′:3′,1″- terphenyl]-4,4″,5′-tricarboxylic acid; p-CBA: 4-Carboxybenzaldehyde.
Table 4. Characteristics of bifunctional MOF-based sensors for TC determination in food samples.
Table 4. Characteristics of bifunctional MOF-based sensors for TC determination in food samples.
Type of MOF-Based SensorsMOF (Metal/Ligand)MechanismSamplesAbsorption Capacity (mg/g)Linear RangeLOD (nM)Response Time (s)Recovery (%)Ref.
BimetallicZrCl4 and Eu(NO3)3/BDCFRETPork2890.001–0.5 μg/mL2.0736093.16–104.16[163]
ModifiedEuCl3·6H2O/H2BIPA and 2-MIMAntenna effectTap water, milk387.140.05–60 μM330094.89–112.06[164]
AlCl3·6H2O/NH2-BDCIFE and PETMilk5330.004–38.5 μg/L2.748087.07–116.44[165]
CompositeZn(NO3)2·6H2O/2-MIMAntenna effectMilk, honey and tap Water377.070–70 mM1712096.9–104.6[166]
Zn(NO3)2·6H2O/2-MIMIFE and interaction between TC and Zn2+Milk1974.030.5–50 μM6.566094.83–101.79[167]
ZrCl4/BPDCIFE and FRETWater, fish and sheep muscle427.350.08–20 μg/L141.7890087.12–107.52[168]
IFE: Inner filter effect; PET: Photoinduced electron transfer; FRET: Forster resonance energy transfer; 2-MIM: 2-methylimidazole; BDC: 1,4-benzene dicarboxylic acid; NH2-BDC: 2-Aminoterephalatic acid; BPDC: biphenyl-4,4′-dicarboxylic acid.
Table 5. The use of MOFs for sensors of nitroaromatics and phenols.
Table 5. The use of MOFs for sensors of nitroaromatics and phenols.
MOF-Base SensorPollutantMethodDetection Limit, µMLinear Range, µMRef.
ZIF-67/RGO/SPCE4NPVol.0.00030.09–13.6[186]
Ni-BDC/MWCNTs4CPVol.0.01650.1–50/50–500[187]
Cu-abdcTNPFlu.0.080.5–30[188]
Eu@MOF-253TNPFlu.0.010.01–100[189]
Eu@MOF-2532,4DNPFlu.0.010.01–25[189]
SM-2TNPFlu.0.00050.005–0.03[190]
PUC2TNTFlu.0.14520–100[191]
Zn-BDC4NPFlu.0.682.5–45[192]
Zn-BDCTNPFlu.0.922.5–80[192]
ssDNA@Ni-MOFBPAFlu.0.3415–40[193]
4NP—4-nitrophenol, 4CP—4-chlorophenol, TNP—2,4,6-trinitrophenol, 2,4DNP—4,6-dinitrophenol, TNT—2,4,6-trinitrotoluene, BPA—Bisphenol A, Vol.—Voltammetry, Flu.—Fluoromety.
Table 6. Sensing of amines by MOF-based materials.
Table 6. Sensing of amines by MOF-based materials.
MOF-Base SensorPollutantMethodDetection LimitLinear RangeRef.
PE@MOF-5NH3(gas)VC49.6 ppb5.4–80.47 ppm[212]
AN@NH2-UiO-66NH3(liquid)VC1.43 mM-[213]
CDs@ZIF-8(In)TEA(liquid)Flu.58.7 µM0.001–5.8 mM[214]
CDs@DZIF-8(In)TEA(gas)RS1 ppm1–100 ppm[214]
H-AlMOF@AuNPCABVol.80 aM0.3 fM–10 pM[215]
H-AlMOF@AuNPCABAmp.300 aM0.7 fM–10 pM[215]
TEA—triethylamine, CAB—carbendazim, VC—visual colorimetry, RS—resistive sensor, Flu.—fluoromety, Vol.—voltammetry, Amp.—amperometry.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kustov, L.; Vergun, V.; Zakharov, V.; Aslanov, L. Metal–Organic Frameworks as Materials for Applications in Sensors for Toxicants. Crystals 2026, 16, 279. https://doi.org/10.3390/cryst16050279

AMA Style

Kustov L, Vergun V, Zakharov V, Aslanov L. Metal–Organic Frameworks as Materials for Applications in Sensors for Toxicants. Crystals. 2026; 16(5):279. https://doi.org/10.3390/cryst16050279

Chicago/Turabian Style

Kustov, Leonid, Vadim Vergun, Valery Zakharov, and Leonid Aslanov. 2026. "Metal–Organic Frameworks as Materials for Applications in Sensors for Toxicants" Crystals 16, no. 5: 279. https://doi.org/10.3390/cryst16050279

APA Style

Kustov, L., Vergun, V., Zakharov, V., & Aslanov, L. (2026). Metal–Organic Frameworks as Materials for Applications in Sensors for Toxicants. Crystals, 16(5), 279. https://doi.org/10.3390/cryst16050279

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop