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Article

Highly Dense TiO2 Nanorods as Potential Electrode Material for Electrochemical Detection of Multiple Heavy Metal Ions in Aqueous Medium

1
Advanced Materials and Devices Laboratory, Department of Bio-Convergence Science, Jeongeup Campus, Jeonbuk National University, Jeongeup 56212, Republic of Korea
2
Department of Bioactive Material Sciences, Jeonbuk National University, Jeonju 54896, Republic of Korea
Micromachines 2025, 16(3), 275; https://doi.org/10.3390/mi16030275
Submission received: 5 February 2025 / Revised: 19 February 2025 / Accepted: 21 February 2025 / Published: 27 February 2025
(This article belongs to the Special Issue Nanomaterial/Composite-Based Electrochemical (Bio)Sensing Microsystem)

Abstract

:
This study describes the direct deposition of extremely dense TiO2 nanorods (NRs) on an ITO substrate for the improved detection of heavy metal ions (HMIs). A facile hydrothermal method was employed to synthesize TiO2 NRs on the ITO substrate at ~130 °C. Synthesized TiO2 NRs were analyzed for morphological, structural, and electrochemical properties. As an electrode material, TiO2 NRs were used for the simultaneous detection of three HMIs (i.e., Cr3+, Cu2+, and Hg2+), which showed a remarkably high sensitivity of ~92.2 µA.mM−1.cm−2 for the Cu2+ ion. Relatively low sensitivities of ~15.6 µA.mM−1.cm−2 and ~19.67 µA.mM−1.cm−2 were recorded for the Cr3+ and Hg2+ ions, respectively. The fabricated TiO2 NR-based HMI sensor showed an effective dynamic linear detection range with low LOD values of ~21.7 mM, 37 mM, and ~ 28.5 mM for Cr3+, Cu2+, and Hg2+, respectively. The TiO2 NR-based HMI sensor exhibited efficient charge transfer over the electrode toward the trace detection of Cr3+, Cu2+, and Hg2+. Moreover, the reliability of the TiO2 NR-based HMI sensor was assessed, which exhibited a promising stability of 30 days. The obtained results indicate that TiO2 NRs grown on an ITO substrate are a promising electrode material for detecting hazardous Cr3+, Cu2+, and Hg2+ and might eventually be commercialized in the near future.

1. Introduction

Modern industrialization is advancing so quickly that heavy metal contaminants are being released into the environment in large quantities, which has led to the serious contamination of food sources, soil, and water [1,2,3]. The biological chain can allow heavy metal ions (HMIs) to accumulate, which poses a serious risk to human health [4,5,6]. For example, it is well recognized that Cd2+ ions can lead to cancer and detrimental injury to the kidneys, liver, and bones [7,8]. Pb2+ ions adversely impact cardiovascular systems and are associated with the emergence of chronic hypertension and myocardial dysfunction [9,10]. Another HMI, the Hg2+ ion, causes irreversible harm to the reproductive and central neurological systems [11,12], whereas high levels of Cu2+ ions have been linked to negative consequences for human health, such as the possibility of irreversible DNA changes [13,14,15]. Other ions such as trivalent and hexavalent chromium (Cr) are frequently encountered in soil, seawater, and groundwater [16,17]; however, the excessive accumulation of Cr3+ is dangerous to humans and ultimately causes several severe health problems [18,19]. Moreover, the Cr3+ ion is widely utilized in many different industries, including pigment manufacture, leather tanning, wood treatment, and dyeing. It is also one of the metals that causes type 2 diabetes [20,21]. Among existing HMIs, the Cu2+ ion is a well-known contaminant in recent environment pollutants which usually accumulate from the release of agricultural and industrial wastes [22]. The detection of HMIs in the environment demands a process which should be specific and less time-consuming. The electrochemical detection method is sensitive and convenient [23], and the results from voltametric and potentiometric ion selection are satisfactory [24,25,26].
Nanostructures are widely employed as electrode materials and exhibit promising sensing performance [27,28,29]. Among different electrode materials, oxide materials with superior adsorption capacity have contributed to notable advancements in the high-performance detection of hazardous species, usually due to their large specific surface area, numerous surface-active sites, and high catalytic efficiency [30]. Metal oxides, including WO3, TiO2, ZnO, Fe2O3, etc. [28,31,32,33,34], have been vastly employed as electrodes, but TiO2 is primarily beneficial because of its high activity, chemical stability, affordability, and extended reusability [35]. This semiconductor shows excellent optoelectronic and catalytic properties [32]. In this work, we have investigated a novel approach toward a fabricated TiO2 NR electrode as a sensor for the detection of three HMIs, i.e., Cr3+, Cu2+, and Hg2+. The manufactured sensor exhibits a high degree of agreement and a promising reproducibility of sensing performance.

2. Materials and Methods

2.1. Preparation of TiO2 NRs

TiO2 nanopowder (P25, Degussa, Evonik, Essen, Germany) was exploited as a precursor, and 0.5 g of TiO2 was mixed in 10 M NaOH (Sigma-Aldrich, St. Louis, MO, USA) aqueous solution under vigorous stirring. Afterward, the mixture was transferred into a Teflon beaker, and then ITO glass was horizontally placed in the beaker, which was sealed into a stainless-steel autoclave for hydrothermal treatment at 130 °C for 24 h. Once the reaction was finished, the autoclave was left to cool at ambient temperature. The grown thin TiO2 films were treated with diluted HCl solution and then washed properly by DI water. Ultimately, TiO2 NR films were obtained after a drying process in an oven at ~60 °C.

2.2. Characterization of TiO2 NRs

Morphological images of TiO2 NRs were studied by FESEM (field-emission scanning electron microscopy, Hitachi S-4700, Tokyo, Japan) and TEM (transmission electron spectroscopy, H-7650, Hitachi, Tokyo, Japan). The crystalline structures of TiO2 NRs were analyzed by X-ray powder diffraction (XRD, Rigaku, Cu Kα, λ = 1.54178 Å, Tokyo, Japan) by applying a Bragg angle range of 10–80°. The optical characteristics were studied by the UV-vis absorbance (2550 Shimadzu, Kyoto, Japan). Raman spectra (Raman microscope, Renishaw, in 200–1400 cm−1 range, Gloucestershire, UK) and FTIR (Nicolet, IR300, Glendale, WI, USA) were subjected to analysis for structural characterizations. Through the utilization of the KRATOS AXIS-Nova instrument (Kyoto, Japan), XPS research was performed to examine the elemental states and surface composition of TiO2 NRs. Using TiO2 NRs as the electrode and a broad range of HMI concentrations from 10 mM to 200 mM, cyclic voltammetry (C-V) measurements were carried out in 0.1 M phosphate buffer solution (10 mL PBS) using a potentiostat.

3. Results and Discussion

3.1. Morphological Properties of TiO2 NRs

To characterize the structural details and surface morphology of the grown TiO2 thin film, FESEM studies were performed. At the mode of low magnification, the FESEM image (Figure 1a,b) shows highly dense TiO2 NRs covering almost the entire substrate’s surface, and NRs are randomly distributed over ITO glass. The high-resolution images, as shown in Figure 1c,d, reveal an elongated rod-like shape of TiO2 with an average length and diameter of ~430.63 nm and ~42.35 nm, respectively, as shown in histograms extracted from FESEM images. Herein, the FESEM images exhibit uniform nanorod (NR) morphology without exhibiting any secondary features like nanoparticles over the surface of NRs.
Transmission electron microscopy (TEM) provides essential characterization insight into the internal structure, crystallinity, and defects of the nanomaterials. Figure 2a shows a low-resolution TEM image, exhibiting the general morphology of the TiO2 NRs with a diameter of ~40 nm (also confirmed by FESEM). In the HRTEM image in Figure 2b, there is a noticeable lattice spacing of about 0.325 nm, which corresponds to the typical lattice spacing of the (101) plane in the TiO2 anatase phase [36]. Herein, well-defined diffraction patterns and lattice fringes indicate a high crystallinity of synthesized TiO2 NRs.

3.2. Crystalline, Optical, and Structural Properties of TiO2 NRs

The XRD tool is a widely used technique to characterize the crystallographic properties of nanomaterials, as shown in Figure 3a. The pattern of synthesized TiO2 NRs shows the appearance of diffraction peaks at ~25.3°, ~37.8°, ~48.0°, ~54.4°,~55.1°, ~62.8°, and ~68.9°, corresponding to the crystal planes of (101), (004), (200), (105), (211), (204), and (116), respectively [37,38,39]. According to the JCPDS (96-152-6932), these peaks represent the typical anatase phase of TiO2. The XRD of the sample reveals a notable (101) peak at ~2θ = 25°, verifying the existence of the typical tetragonal structure of anatase TiO2 NRs. Herein, the high intensity of diffraction peak (002) illustrates the crystallinity of TiO2 NRs. Additionally, other diffraction peaks are identified at ~26.4°, ~33.7°, ~44.6°, ~51.5°, ~61.4°, and ~65.4°, which are associated with the ITO substrate. Thus, the grown TiO2 NRs exhibit a pure phase, as indicated by the characteristic peaks of a single crystal structure.
XRD results reflect the good crystallinity and high purity of the grown TiO2 NRs. The Debye–Scherrer equation is utilized to obtain the average crystallite size (D), as explained below:
D = /βCosθ
where k signifies a constant (0.94), λ represents the X-ray wavelength (Cu Kα radiation, 1.5406 Å), and θ and β denote the Bragg’s angle and full width at half maximum (FWHM) of XRD peaks, respectively. Through consideration of the diffraction peak at 25.3°, the FWHM value and crystallite size are found to be 0.32° and 26.58 nm, respectively. The estimated crystallite size is almost similar to the size observed in microscopic analysis.
In the analysis of the UV-vis absorption spectra, as shown in Figure 3b, TiO2 NRs exhibit an absorption edge in the UV region of the spectrum. The appearance of the band at ~370–390 nm confirms the anatase TiO2 phase [40]. The band gap is determined by analyzing the absorption spectra using a Tauc plot using (αhν)2 and photon energy (hν), where α is the absorption coefficient, as shown in Figure 3c. The synthesized anatase TiO2 NRs exhibit a band gap of ~3.18 eV, which matches well with the reported work [41].
Figure 4a shows FTIR spectroscopy, which is valuable for characterizing the vibrational properties of TiO2 NRs, providing insights into their molecular structure, bonding, and surface chemistry. The appearance of peaks around 400–600 cm−1 is typically attributed to Ti-O and Ti-O-Ti stretching vibrations, alongside the formation of TiO2 NRs [42,43], and is indicative of the crystalline TiO2 phase. The broad infrared signal at 3554 cm−1 corresponds to O-H stretching vibrations, which show that the TiO2 NRs’ surface contains atmospheric hydroxyl groups [44]. A weak IR peak at ~1632 cm−1 is associated with the bending vibrations of adsorbed water molecules (H-O-H) [45]. The IR peaks at ~1160 and ~1716 cm−1 are ascribed to C-O and C=O species. Thus, the grown TiO2 NRs possess a pure TiO2 structure with few traces of impurities.
Raman spectroscopy is a crucial tool for the analysis of TiO2 NRs, giving valuable insights into their phase composition, crystallinity, and surface characteristics. The Raman spectrum, as shown in Figure 4b, exhibits distinct peaks corresponding to ~143.5 cm−1 (Eg) [46], which is normally related to anatase TiO2. The other peaks appearing at ~396.7 cm−1 (B1g), ~524.1 cm−1 (A1g), and ~637.8 cm−1 (Eg) further confirm the predominance of anatase in the grown TiO2 NRs [47,48]. The peak intensities and positions are significant as they provide insight into the crystallinity of the TiO2 NRs. In our work, peaks related to TiO2 are sharper and more intense, reflecting the well-formed crystalline structures of TiO2 NRs.

3.3. XPS Studies of TiO2 NRs

XPS is a crucial analytical method for examining the elemental makeup and surface chemistry of materials. Figure 5 provides detailed information about the oxidation states of Ti, the bonding environment of O, and the presence of surface species, offering critical insights into the material’s chemical and electronic structure. Figure 5a shows the XPS survey spectra, revealing the presence of titanium (Ti 2p) and oxygen (O 1s) as the primary elements in TiO2. In Figure 5b, the Ti 2p peak appears as a doublet binding energy with Ti 2p3/2 and Ti 2p1/2, indicating that TiO2 is predominantly in the +4 oxidation state [49]. The Ti 2p binding energies are observed at ~456.3 eV (Ti 2p3/2) and ~462.1 eV (Ti 2p1/2), which are consistent with the Ti4+ oxidation state that is characteristic of TiO2 [50]. Information about Ti 2p is crucial for confirming the phase purity and oxidation state of Ti in TiO2 nanomaterials. Figure 5c exhibits an O 1s peak observed at the central binding energy at ~529.6 eV, which is typically associated with O2− ions in the TiO2 lattice [51,52]. The other two binding energies at ~530.4 and ~531.5 eV originated from atmospheric oxygen or moisture adsorbed over TiO2 NRs. Therefore, the presence of O2− ions along with the Ti4+ ion further confirms the formation of TiO2 during the hydrothermal process. Moreover, these findings are significant to guiding the further optimization of TiO2 NRs in advanced sensor applications.

3.4. Selectivity and Sensing Performance of TiO2 NR-Modified HMI Sensor

The detection of HMIs such as Cr3+, Cu2+, and Hg2+ in water is crucial due to their toxic effects on human health and the environment. Electrochemical methods, particularly cyclic voltammetry (CV), are widely used for the detection of these ions due to their sensitivity, selectivity, and relatively low cost. CV provides valuable information about electrochemical properties, including oxidation and reduction processes. The grown TiO2 NR-based electrodes in this work offer a promising platform for this purpose owing to their excellent catalytic properties and chemical stability. An electrolyte solution with 0.1 M phosphate buffer solution (PBS, pH = 7.0) has been used for CV measurements. For the selectivity of the electrode, as displayed in Figure 6, the CV plots exhibit the TiO2 NR electrode in pristine PBS and PBS with HMIs. Figure 6a displays a weak CV response in the PBS electrolyte, suggesting the reduced sensing behavior of the TiO2 NR electrode. After the addition of 10 mM HMIs like Cr3+, Cu2+, and Hg2+ in PBS (Figure 6b–d), the TiO2 NR electrode expresses a quick redox current, indicating the sensing response of TiO2 NRs. This clearly explains the response of the grown TiO2 NR electrode to HMIs like Cr3+, Cu2+, and Hg2+ ions. As shown in Figure 6b–d, the CV scan is conducted by sweeping the potential within a range that includes the redox potentials of Cr3+, Cu2+, and Hg2+, i.e., from −1 V to +1.0 V. The redox peaks corresponding to Cr3+ at −0.17 V, Cu2+ at −0.028 V, and Hg2+ at +0.042 V are identified. These peaks provide qualitative and quantitative information about the presence of each ion. Among HMIs, the TiO2 NR electrode displays the highest cathodic current response for the Cu2+ ion with a weak anodic current. This suggests that the TiO2 NR electrode reflects promising sensing behavior toward Cu2+ ions. In the case of Hg2+ detection (Figure 6d), during the initial step, the adsorbed Hg2+ ions are electrochemically reduced to their metallic forms; for example, Hg2+ is reduced to Hg0 under an applied negative potential. As for the oxidation process, an oxidation reaction occurs due to a subsequent positive potential applied to reoxidize the reduced metal ions (e.g., Hg0  Hg2+). This oxidation process produces a characteristic current signal, with the peak position corresponding to the specific metal ion, and the peak intensity is proportional to its concentration. Overall, a higher oxidation peak, as noticed for Cu2+, implies the stronger electrocatalytic behavior of the electrode and a faster electron transfer mechanism in an electrochemical system.
Figure 7, Figure 8 and Figure 9 display a series of CV plots in PBS electrolytes with different HMIs in their varied concentrations from 10 to 200 mM. Figure 7a shows the variation in the CV plot for different Cr3+ ions, depicting an increase in the cathodic current with the increase in Cr3+ concentration. In support of this investigation, a calibration curve is depicted by plotting the peak current versus concentration for each of the three HMIs. During linear regression, we aim to fit a straight line to a set of data points. The following linear regression equation is employed to obtain the slope and other parameters.
y = a + bx
where y is the dependent variable (output or response), x is the independent variable (input or predictor), b is the slope of the line, and a is the y-intercept. To estimate the sensitivity, the slope of the plot is divided by an active area of the electrode (0.015 cm2). CV scans with varying concentrations (10–200 mM) of Cr3+ are shown in Figure 7a. The current increases linearly as the concentration of Cr3+ ions increases. In evaluating the calibration, it is apparent that the TiO2 NR electrode exhibits a moderate sensitivity of ~15.6 µAmM−1cm−2 with a promising dynamic linearity of 10–200 mM, LOD of ~21.7 mM, and R2 of 0.096141. Similarly, CV plots of the TiO2 NR electrode for Hg2+ ions are shown in Figure 8. The redox current response for Hg2+ ions is higher than the current response for Cr3+ ions. In the analysis of the corresponding calibration plot (Figure 8b), a slightly high sensitivity of ~19.67 µAmM−1cm−2 with R2 = 0.94634 is recorded for Hg2+ ions, and a good linear dynamic and LOD are demonstrated.
Additionally, for Cu2+ ions, the CV results of TiO2 NRs express the highest electrochemical response, as shown in Figure 9. A prominent cathodic peak is seen in Figure 9a, affirming the oxidative behavior of the TiO2 NR electrode toward Cu2+ ions compared to other ions. The cathodic current dramatically elevates with the increment in Cu2+ ion concentration. A higher HMI adsorption at the maximum concentration (200 mM) is made possible by the increase in current, which is correlated with more active sites on the TiO2 NR electrode. Through the use of the calibration plot (Figure 9b), improved sensing parameters, like a sensitivity of ~92.2 µAmM−1cm−2, linear dynamic of 10–100 mM, LOD of ~37 mM, and regression coefficient (R2) of ~0.94634, are estimated for Cu2+. The sensing parameters are comparable to similarly reported works, as summarized in Table 1. The sensing mechanism of TiO2 NR-based electrodes for the electrochemical detection of HMIs is related to their unique structural, surface, and chemical properties. At atmospheric conditions, TiO2 NRs contain many oxygenated species on the surface such as hydroxyl groups, which efficiently adsorb HMIs like Cr3+, Cu2+, and Hg2+ in the aqueous solution. Thereafter, the adsorption occurs through binding via electrostatic interactions, coordination bonding, or complex formation between the self-functionalized surfaces of the TiO2 electrode and metal ions [53]. This adsorption step enhances the local concentration of HMIs on the electrode, making detection more effective.
A possible sensing mechanism is illustrated in Figure 10a. In general, the band structure of TiO2 semiconductors, especially the conduction band, is crucial for the adsorption and oxidation/reduction of the metal ions. When a voltage is applied, firstly, atmospheric oxygenated species are adsorbed on the TiO2 NR electrode, and later, electrons are trapped in the conduction band, generating molecular oxygen ions O2−. The generated O2− over the TiO2 NR electrode can react with HMIs (Cr3+, Cu2+, and Hg2+) and create a layer of metal. Afterward, at high voltage, the conduction band of TiO2 NRs releases the electrons during the electrochemical redox process, resulting in an increasing electrical conductivity and current in the presence of HMIs [54,55]. The TiO2 NR electrode is highly suitable for Cu2+ ions because its electrocatalytic surface provides many active sites for Cu2+ ion adsorption. Therefore, as compared to other HMIs, the sensing performance of the TiO2 NR electrode for Cu2+ ions is superior, showing the highest redox current and excellent sensitivity.
Table 1. Sensing performances of the TiO2 NR electrode and extracted results from the reported literature.
Table 1. Sensing performances of the TiO2 NR electrode and extracted results from the reported literature.
ElectrodesTarget MetalsDynamic RangeLODSensitivityRef.
TiON/TiO2Pb2+10−5 to 10−1 M10−5 M-[56]
Zr/ZrO2 nanotubeCu2+0.05–2 μM40 nM-[57]
Ti/TiO2 nanotubesCu2+0.01–1 μM7 nM-[58]
SnO2/rG0Cu2+0.4–1.2 μM0.1141 nM5.167 mA μM−1[59]
TiO2 NRsCu2+10–100 mM37 mM92.2 µA.mM−1.cm−2This work
TiO2 NRsHg2+10–200 mM28.5 mM19.67 µA.mM−1.cm−2This work
TiO2 NRsCr3+10–200 mM21.7 mM15.6 µA.mM−1.cm−2This work

3.5. Reliability and Stability of TiO2 NR-Based Tri-HMI Sensor

The detection of Cu2+ ions was tested for five electrodes to show the reliability of the TiO2 NR-modified HMI sensor. Figure 10b shows that the TiO2 NR electrode presents negligible changes in current responses, which suggests no visible variations in the performance of the fabricated electrode. Thus, this study clearly reflects that the TiO2 NR electrode for HMI detection is highly reliable. Additionally, the stability tests were carried out by monitoring the performance of manufactured sensors for 30 days in a row. Figure 10c expresses the sensitivity histograms of the TiO2 NR electrode versus days. As compared to initial sensitivities, minor variation is detected in the sensitivities of the TiO2 NR electrode-based sensors for Cr3+, Cu2+, and Hg2+ ions. In case of Cu2+ ions, a slight decrease of 8% in 30 days is noted, but the overall stability is strong. Thus, the fabricated TiO2 NR electrode for HMIs (Cr3+, Cu2+, and Hg2+) presents the rapid detection of HMIs with high reliability, sensitivity, and a low LOD.

4. Conclusions

In summary, the TiO2 NR electrode was successfully constructed and employed for detecting HMIs (Cr3+, Cu2+, and Hg2+). Owing to its distinct structural features and encouraging electrochemical performance, the TiO2 NR electrode-based sensor shows a linear relationship between current and the trace concentrations of Cr3+, Cu2+, and Hg2+ ions. The TiO2 NR electrode for Cu2+ ion detection attains the highest sensitivity of ~92.2 µAmM−1cm−2, a good linear dynamic of 10–100 mM, an LOD of ~ 37 mM and a regression coefficient (R2) of ~0.94634. Thus, this simple, dependable, sensitive, and cost-effective HMI sensor utilizing TiO2 NRs shows great potential for environmental monitoring applications. Additional advancements in morphology and composite nanomaterials for electrode materials may be promising in increasing cost-effectiveness, sensitivity, sensing responsiveness, and selectivity.

Funding

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2022R1A6A3A01086334).

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the author.

Conflicts of Interest

The author declares no conflicts of interest.

References

  1. Kim, S.; Jeong, Y.; Park, M.O.; Jang, Y.; Bae, J.S.; Hong, K.S.; Kim, S.; Song, P.; Yoon, J.H. Development of boron doped diamond electrodes material for heavy metal ion sensor with high sensitivity and durability. J. Mat. Res. Technol. 2023, 23, 1375–1385. [Google Scholar] [CrossRef]
  2. Li, H.; Li, N.; Zuo, P.; Qu, S.; Qin, F.; Shen, W. Utilization of nitrogen, sulfur co-doped porous carbon micron spheres as bifunctional electrocatalysts for electrochemical detection of cadmium, lead and mercury ions and oxygen evolution reaction. J. Colloid Interface Sci. 2023, 640, 391–404. [Google Scholar] [CrossRef] [PubMed]
  3. Wang, X.; Mao, W.; Wang, D.; Hu, X.; Liu, B.; Su, Z. Hourglass shaped polyoxometalate-based materials as electrochemical sensors for the detection of trace Cr (VI) in a wide pH range. Talanta 2023, 257, 124270. [Google Scholar] [CrossRef] [PubMed]
  4. Chen, H.; Yao, Y.; Zhang, C.; Ping, J. Determination of heavy metal ions in infant Milk powder using a Nanoporous carbon modified disposable sensor. Foods 2023, 12, 730. [Google Scholar] [CrossRef]
  5. Huang, P.; Xiong, Y.; Ge, Y.; Wen, Y.; Zeng, X.; Zhang, J.; Wang, P.; Wang, Z.; Chen, S. Magnetic Fe3O4 nanoparticles decorated phosphorus-doped biochar-attapulgite/bismuth film electrode for smartphone-operated wireless portable sensing of ultra-trace multiple heavy metal ions. Microch. Acta 2023, 190, 94. [Google Scholar] [CrossRef]
  6. Xiong, W.; Zhang, P.; Liu, S.; Lv, Y.; Zhang, D. Catalyst-free synthesis of phenolic-resin-based carbon nanospheres for simultaneous electrochemical detection of Cu (II) and Hg (II). Diam. Rel. Mater. 2021, 111, 108170. [Google Scholar] [CrossRef]
  7. Costa, M.; Di Masi, S.; Garcia-Cruz, A.; Piletsky, S.A.; Malitesta, C. Disposable electrochemical sensor based on ion imprinted polymeric receptor for Cd (II) ion monitoring in waters. Sens. Actuators B Chem. 2023, 383, 133559. [Google Scholar] [CrossRef]
  8. Dinçer, R.; Karabiberoğlu, S.U.; Dursun, Z. Simultaneous electrochemical determination of trace zinc (II), cadmium (II) and lead (II) in lipsticks using a novel electrode covered with bismuth/over-oxidized poly (xylenol blue) film. Microchem. J. 2023, 189, 108548. [Google Scholar] [CrossRef]
  9. Liu, X.; Wang, X.; Li, J.; Qu, M.; Kang, M.; Zhang, C. Nonmodified laser-induced graphene sensors for Lead-ion detection. ACS Appl. Nano Mater. 2023, 6, 3599–3607. [Google Scholar] [CrossRef]
  10. Zhang, Y.; Liao, Y.; Yin, X.; Zhang, Y.; Yang, Z.; Wang, H.; Yang, W.; Pang, P. Electrochemical determination of Pb2+ based on DNAzyme-triggered rolling circle amplification and DNA-templated silver nanoclusters amplification strategy. Microchem. J. 2023, 189, 108544. [Google Scholar] [CrossRef]
  11. Elsebai, B.; Ghica, M.E.; Abbas, M.N.; Brett, C.M.A. Novel Amperometric mercury-selective sensor based on organic Chelator Ionophore. Molecules 2023, 28, 2809. [Google Scholar] [CrossRef]
  12. Su, X.; Tian, X.; Sun, Z.; Zou, X.; Zhang, W. Signal-on electrochemical aptasensor based on RGO-AuNPs and exonuclease-III with assistance of external probe for Hg2+ determination in shellfish. Microchem. J. 2023, 190, 108576. [Google Scholar] [CrossRef]
  13. Que, E.L.; Domaille, D.W.; Chang, C.J. Metals in neurobiology: Probing their chemistry and biology with molecular imaging. Chem. Rev. 2008, 108, 1517–1549. [Google Scholar] [CrossRef] [PubMed]
  14. Li, P.; Duan, X.; Chen, Z.; Liu, Y.; Xie, T.; Fang, L. A near-infrared fluorescent probe for detecting copper (II) with high selectivity and sensitivity and its biological imaging applications. Chem. Commun. 2011, 47, 7755–7757. [Google Scholar] [CrossRef] [PubMed]
  15. Torrado, A.; Walkup, G.K.; Imperiali, B. Exploiting polypeptide motifs for the design of selective Cu (II) ion chemosensors. J. Am. Chem. Soc. 1998, 120, 609–610. [Google Scholar] [CrossRef]
  16. Zheng, A.; Chen, J.; Wu, G.; Zhang, Y.G.; Wei, H. A novel fluorescent distinguished probe for Cr (VI) in aqueous solution. Spectrochim. Acta Part A Mol. Biomol. Spec. 2009, 74, 265–270. [Google Scholar] [CrossRef] [PubMed]
  17. Tripathi, S.M.; Chaurasia, S. Detection of Chromium in surface and groundwater and its bio-absorption using bio-wastes and vermiculite. Eng. Sci. Technol. 2020, 23, 1153–1161. [Google Scholar] [CrossRef]
  18. Wang, Y.; Su, H.; Gu, Y.; Song, X.; Zhao, J. Carcinogenicity of chromium and chemoprevention: A brief update. OncoTargets Ther. 2017, 10, 4065–4079. [Google Scholar] [CrossRef]
  19. Bhanja, A.K.; Mishra, S.; Naskar, K.; Maity, S.; Sahab, K.D.; Sinha, C. Specific recognition of Cr3+ under physiological conditions by allyl substituted appendage rhodamine and its cell-imaging studies. Dalton Trans. 2017, 46, 16516. [Google Scholar] [CrossRef]
  20. Yin, R.V.; Phung, O.J. Effect of chromium supplementation on glycated hemoglobin and fasting plasma glucose in patients with diabetes mellitus. Nutr. J. 2015, 14, 14. [Google Scholar] [CrossRef]
  21. Coetzee, J.J.; Bansal, N.; Chirwa, E.M.N. Chromium in environment, its toxic effect from chromite-mining and ferrochrome industries, and its possible bioremediation. Expos. Health 2020, 12, 51–62. [Google Scholar] [CrossRef]
  22. Prasad, S.; Yadav, K.K.; Kumar, S.; Gupta, N.; Cabral-Pinto, M.M.S.; Rezania, S.; Radwane, N.; Alam, J. Chromium contamination and effect on environmental health and its remediation: A sustainable approach. J. Environ. Manag. 2021, 285, 112174. [Google Scholar] [CrossRef] [PubMed]
  23. Kim, E.B.; Akhtar, M.S.; Kong, I.; Ameen, S. Tailoring porous NiMoO4 nanotube via MoO3 nanorod precursor for environmental monitoring: Electrochemical detection of micro-sized polyvinylchloride. Chemosphere 2024, 369, 143796. [Google Scholar] [CrossRef] [PubMed]
  24. Ameen, S.; Akhtar, M.S.; Umar, A.; Shin, H.S. Effective modified electrode of poly(1-naphthylamine) nanoglobules for ultra-high sensitive ethanol chemical sensor. Chem. Eng. J. 2013, 229, 267–275. [Google Scholar] [CrossRef]
  25. Ameen, S.; Akhtar, M.S.; Seo, H.K.; Shin, H.S. An electrochemical sensing platform based on hollow mesoporous ZnO nanoglobules modified glassy carbon electrode: Selective detection of piperidine chemical. Chem. Eng. J. 2015, 270, 564–571. [Google Scholar] [CrossRef]
  26. Ameen, S.; Akhtar, M.S.; Shin, H.S. Manipulating the structure of polyaniline by exploiting redox chemistry: Novel p-NiO/n-polyaniline/n-Si Schottky diode based chemosensor for the electrochemical detection of hydrazinobenzene. Electrochim. Acta 2016, 215, 200–211. [Google Scholar] [CrossRef]
  27. Chakraborty, B.; RoyChaudhuri, C. Metal/metal oxide modified graphene nanostructures for electrical biosensing applications: A review. IEEE Sens. J. 2021, 21, 17629–17642. [Google Scholar] [CrossRef]
  28. Kim, E.B.; Ameen, S.; Akhtar, M.S.; Shin, H.S. Iron-nickel co-doped ZnO nanoparticles as scaffold for field effect transistor sensor: Application in electrochemical detection of hexahydropyridine chemical. Sens. Actuors B Chem. 2018, 275, 422–431. [Google Scholar] [CrossRef]
  29. Chai, W.S.; Cheun, J.Y.; Kumar, P.S.; Nubashir, M.; Majeed, Z.; Banat, F.; Ho, S.H.; Show, P.L. A review on conventional and novel materials towards heavy metal adsorption in wastewater treatment application. J. Clean. Prod. 2021, 296, 126589. [Google Scholar] [CrossRef]
  30. Li, J.; Li, C.; Zhao, Z.; Guo, Y.; Chen, H.; Liu, P.; Zhao, M.; Guo, J. Biomolecules meet organic frameworks: From synthesis strategies to diverse applications. Nanoscale 2024, 16, 4529–4541. [Google Scholar] [CrossRef]
  31. Hernandes-Cocoletzi, H.; Salinas, R.A.; Aguila-Almanza, E.; Rubio-Rosas, E.; Chai, W.S.; Chew, K.W.; Mariscal-Hernandez, C.; Show, P.L. Natural hydroxyapatite from fishbone waste for the rapid adsorption of heavy metals of aqueous effluent. Environ. Teck. Innov. 2020, 20, 101109. [Google Scholar] [CrossRef]
  32. Kim, E.B.; Imran, M.; Akhtar, M.S.; Shin, H.S.; Ameen, S. Enticing 3D peony-like ZnGa2O4 microstructures for electrochemical detection of N, N-dimethylmethanamide chemical. J. Hazard. Mater. 2021, 404, 124069. [Google Scholar] [CrossRef]
  33. Kim, E.B.; Abdullah, A.S.; Akhtar, M.S.; Shin, H.S. Environment-friendly and highly sensitive dichloromethane chemical sensor fabricated with ZnO nanopyramids-modified electrode. J. Taiwan Inst. Chem. Eng. 2019, 102, 143–152. [Google Scholar] [CrossRef]
  34. Ameen, S.; Akhtar, M.S.; Shin, H.S. Highly sensitive hydrazine chemical sensor fabricated by modified electrode of vertically aligned zinc oxide nanorods. Talanta 2012, 100, 377–383. [Google Scholar] [CrossRef]
  35. Yu, J.; Huang, X.; He, Y.; Tang, D.; Huang, T.; Liu, L.; Wu, H.; Peng, D.L.; Zhao, D.; Lan, K.; et al. Compacted mesoporous titania nanosheets anode for pseudocapacitance-dominated, high-rate, and high-volumetric sodium-ion storage. SmartMat 2023, 4, 1192. [Google Scholar] [CrossRef]
  36. Ameen, S.; Akhtar, M.S.; Seo, H.K.; Shin, H.S. Solution-processed CeO2/TiO2 nanocomposite as potent visible light photocatalyst for the degradation of bromophenol dye. Chem. Eng. J. 2014, 247, 193–198. [Google Scholar] [CrossRef]
  37. Williams, G.; Seger, B.; Kamat, P.V. TiO2-graphene nanocomposites. UV-assisted photocatalytic reduction of graphene oxide. ACS Nano 2008, 2, 1487–1491. [Google Scholar] [CrossRef]
  38. Verwey, E.J.W. Kristallgeometrie, Kristallphysik, Kristallchemie. Z. Krist. 1935, 91, 317–320. [Google Scholar]
  39. Kim, Y.H.; Lee, I.K.; Song, Y.S.; Lee, M.H.; Kim, B.Y.; Cho, N.I.; Lee, D.Y. Influence of TiO2 coating thickness on energy conversion efficiency of dye-sensitized solar cells. Electron. Mater. Lett. 2014, 10, 445–449. [Google Scholar] [CrossRef]
  40. Ying, C.; Guo, F.; Xu, L.; Lv, K.; Shi, C. Ultra-thin CdS buffer layer for efficient Sb2S3-sensitized TiO2 nanorod array solar cells using Sb-thiourea complex solution. J. Nanoparticle Res. 2021, 23, 3–9. [Google Scholar] [CrossRef]
  41. Praveen, P.; Viruthagiri, G.; Mugundan, S.; Shanmugam, N. Structural, optical and morphological analyses of pristine titanium di-oxide nanoparticles—Synthesized via sol-gel route. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2014, 117, 622–629. [Google Scholar] [CrossRef] [PubMed]
  42. Bai, H.; Zhang, X.; Zhang, Y.; Zhang, L. Photocatalytic Properties and Optical Characterization of TiO2 Nanorods with Enhanced Anatase Phase. J. Photochem. Photobiol. A Chem. 2023, 434, 114267. [Google Scholar]
  43. Gupta, P.; Singh, R.; Kumar, S. Synthesis and Optical Characterization of Anatase TiO2 Nanorods: Band Gap and Photocatalytic Properties. Appl. Sur. Sci. 2022, 580, 153394. [Google Scholar]
  44. Landage, K.S.; Gajanan, C.J.B.; Arbade, K.; Khanna, P. Biological approach to synthesize TiO2 nanoparticles using Staphylococcus aureus for antibacterial and anti-biofilm applications. J. Microbiol. Exp. Res. 2020, 8, 36–43. [Google Scholar]
  45. Ouda, A.A.; Alosfur, F.K.M.; Ridha, N.J.; Abud, S.H.; Umran, N.M.; Al-Aaraji, H.H.; Madlool, R.A. Facile method to synthesis of anatase TiO2 nanorods. J. Phys. Conf. Ser. 2018, 1032, 012038. [Google Scholar] [CrossRef]
  46. Dai, J.; Hou, X.; Wu, Z.; Sun, X. Structural and Optical Properties of TiO2 Nanoparticles Prepared by Sol-Gel Method. Mater. Res. Exp. 2019, 6, 085038. [Google Scholar]
  47. Parra, A.; Atria, Y.; Yañez, C.; Gacitúa, M. Enhanced photocatalytic activity of TiO2 nanoparticles synthesized by green chemistry using grape pomace extract. Appl. Surf. Sci. 2020, 527, 146758. [Google Scholar]
  48. Moussa, S.; Amara, H.; Sfar, H. Structural and Optical Properties of TiO2 Nanorods Synthesized by Hydrothermal Method. J. Mater. Sci. Mater. Elec. 2021, 32, 18931–18939. [Google Scholar]
  49. Huang, S.; Xu, H.; Zhao, Y. Raman Spectroscopy and Optical Properties of TiO2 Nanorods: Phase Identification and Performance Analysis. J. Mater. Sci. Mater. Electr. 2022, 33, 1792–1802. [Google Scholar]
  50. Li, J.; Chen, H.; Yang, L. Raman Spectroscopic Insights into the Phase and Structural Properties of TiO2 Nanorods. Appl. Surf. Sci. 2021, 556, 135584. [Google Scholar]
  51. Hsu, H.; Chen, S.; Chiu, C. Structural and Electronic Properties of Anatase TiO2 Nanorods: An X-ray Photoelectron Spectroscopy Study. J. Phys. Chem. C 2023, 127, 4592–4600. [Google Scholar]
  52. Qahtan, T.F.; Owolabi, T.O.; Sale, T.A. X-ray photoelectron spectroscopy of surface-treated TiO2 mesoporous film by 500 eV argon ion beam. J. Mol. Liquids 2024, 393, 123556. [Google Scholar] [CrossRef]
  53. Zhang, J.; Chen, M.; Xu, J. Surface Characterization of Anatase TiO2: X-ray Photoelectron Spectroscopy Analysis of Oxygen Species. Surf. Sci. Rep. 2024, 79, 100834. [Google Scholar]
  54. Kumar, S.; Sharma, A.; Rathi, A. X-ray Photoelectron Spectroscopy of TiO2 Nanostructures: Insights into Oxygen Bonding States. J. Mater. Chem. A 2022, 10, 1672–1680. [Google Scholar]
  55. Xiong, Y.; Zhu, Z.; Ding, D.; Lu, W.; Xue, Q. Multi-shelled ZnCo2O4 yolk-shell spheres for high-performance acetone gas sensor. Appl. Surf. Sci. 2018, 443, 114–121. [Google Scholar] [CrossRef]
  56. Elsayed, A.M.; Ahmed, A.M.; Tammam, M.T.; Eissa, M.F.; Aly, A.H. Sensing of heavy metal Pb2+ ions in water utilizing the photonic structure of highly controlled hexagonal TiON/TiO2 nanotubes. Sci. Rep. 2024, 14, 1015. [Google Scholar] [CrossRef]
  57. Buica, G.O.; Stoian, A.B.; Manole, C.; Demetrescu, I.; Pirvu, C. Zr/ZrO2 nanotube electrode for detection of heavy metal ions. Electrochem. Commun. 2020, 110, 106614. [Google Scholar] [CrossRef]
  58. Pirvu, C.; Prodana, M.; Dumitriu, C.; Gheboianu, A.G.; Pandele, A.M.; Enachescu, M.; Vasile, G.G.; Buica, G.O. Heavy Metal Ion Detection Using TiO2 Nanotubes and Self-Reduced TiO2 Nanotube Electrodes. Appl. Sci. 2024, 14, 11879. [Google Scholar] [CrossRef]
  59. Wei, Y.; Gao, C.; Meng, F.L.; Li, H.H.; Wang, L.; Liu, J.H.; Huang, X.J. SnO2/Reduced graphene oxide nanocomposite for the simultaneous electrochemical detection of cadmium(II), lead(II), copper(II), and mercury(II): An interesting favorable mutual interference. J. Phys. Chem. C 2012, 116, 1034–1041. [Google Scholar] [CrossRef]
Figure 1. FESEM images of TiO2 NR thin film at low (a,b) and high (c,d) resolution. Insets show histograms of the length and diameter of TiO2 NRs.
Figure 1. FESEM images of TiO2 NR thin film at low (a,b) and high (c,d) resolution. Insets show histograms of the length and diameter of TiO2 NRs.
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Figure 2. Low-resolution TEM (a) and HRTEM (b) images of TiO2 NR thin film.
Figure 2. Low-resolution TEM (a) and HRTEM (b) images of TiO2 NR thin film.
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Figure 3. XRD (a), UV-vis absorption spectrum (b), and its corresponding Tauc plot (c) of TiO2 NR thin film.
Figure 3. XRD (a), UV-vis absorption spectrum (b), and its corresponding Tauc plot (c) of TiO2 NR thin film.
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Figure 4. FTIR (a) and Raman spectra (b) of TiO2 NR thin film.
Figure 4. FTIR (a) and Raman spectra (b) of TiO2 NR thin film.
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Figure 5. XPS survey (a), Ti 2p (b), and resolved O 1s (c) of TiO2 NR thin film.
Figure 5. XPS survey (a), Ti 2p (b), and resolved O 1s (c) of TiO2 NR thin film.
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Figure 6. CV measurements of TiO2 NR electrode (a) in pristine phosphate buffer solution (PBS, pH = 7.0) electrolyte (a), and in 10 mM of Cr3+ (b), Cu2+ (c), and Hg2+ (d) in PBS electrolyte.
Figure 6. CV measurements of TiO2 NR electrode (a) in pristine phosphate buffer solution (PBS, pH = 7.0) electrolyte (a), and in 10 mM of Cr3+ (b), Cu2+ (c), and Hg2+ (d) in PBS electrolyte.
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Figure 7. (a) CV plots and (b) their corresponding calibrated plot of TiO2 NR electrode in PBS electrolyte with Cr3+ in varied concentrations from 10 to 200 mM.
Figure 7. (a) CV plots and (b) their corresponding calibrated plot of TiO2 NR electrode in PBS electrolyte with Cr3+ in varied concentrations from 10 to 200 mM.
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Figure 8. (a) CV plots and (b) their corresponding calibrated plot of TiO2 NR electrode in PBS electrolyte with Hg2+ in varied concentrations from 10 to 200 mM.
Figure 8. (a) CV plots and (b) their corresponding calibrated plot of TiO2 NR electrode in PBS electrolyte with Hg2+ in varied concentrations from 10 to 200 mM.
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Figure 9. (a) CV plots and (b) their corresponding calibrated plot of TiO2 NR electrode in PBS electrolyte with Cu2+ in varied concentrations from 10 to 200 mM.
Figure 9. (a) CV plots and (b) their corresponding calibrated plot of TiO2 NR electrode in PBS electrolyte with Cu2+ in varied concentrations from 10 to 200 mM.
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Figure 10. (a) An illustration of a possible sensing mechanism of the TiO2 NRs electrode for HMIs, (b) a reliability test of the TiO2 NR-modified HMI sensor (for Cr3+, Cu2+, and Hg2+), and (c) histograms exhibiting the sensitivity of the TiO2 NR electrode versus days.
Figure 10. (a) An illustration of a possible sensing mechanism of the TiO2 NRs electrode for HMIs, (b) a reliability test of the TiO2 NR-modified HMI sensor (for Cr3+, Cu2+, and Hg2+), and (c) histograms exhibiting the sensitivity of the TiO2 NR electrode versus days.
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Ameen, S. Highly Dense TiO2 Nanorods as Potential Electrode Material for Electrochemical Detection of Multiple Heavy Metal Ions in Aqueous Medium. Micromachines 2025, 16, 275. https://doi.org/10.3390/mi16030275

AMA Style

Ameen S. Highly Dense TiO2 Nanorods as Potential Electrode Material for Electrochemical Detection of Multiple Heavy Metal Ions in Aqueous Medium. Micromachines. 2025; 16(3):275. https://doi.org/10.3390/mi16030275

Chicago/Turabian Style

Ameen, Sadia. 2025. "Highly Dense TiO2 Nanorods as Potential Electrode Material for Electrochemical Detection of Multiple Heavy Metal Ions in Aqueous Medium" Micromachines 16, no. 3: 275. https://doi.org/10.3390/mi16030275

APA Style

Ameen, S. (2025). Highly Dense TiO2 Nanorods as Potential Electrode Material for Electrochemical Detection of Multiple Heavy Metal Ions in Aqueous Medium. Micromachines, 16(3), 275. https://doi.org/10.3390/mi16030275

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