Next Article in Journal
Limited Substrate Specificity of PS/γ-Secretase Is Supported by Novel Multiplexed FRET Analysis in Live Cells
Next Article in Special Issue
Lipid–Polymer Hybrids Encapsulating Iron-Oxide Nanoparticles as a Label for Lateral Flow Immunoassays
Previous Article in Journal
Clinical Utility of Biosensing Platforms for Confirmation of SARS-CoV-2 Infection
Previous Article in Special Issue
A Cellulose Paper-Based Fluorescent Lateral Flow Immunoassay for the Quantitative Detection of Cardiac Troponin I
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Nanobioengineered Sensing Technologies Based on Cellulose Matrices for Detection of Small Molecules, Macromolecules, and Cells

Laboratory of Bio-Physio Sensors and Nanobioengineering, School of Biochemical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi 221005, Uttar Pradesh, India
*
Author to whom correspondence should be addressed.
Biosensors 2021, 11(6), 168; https://doi.org/10.3390/bios11060168
Submission received: 11 April 2021 / Revised: 8 May 2021 / Accepted: 17 May 2021 / Published: 24 May 2021
(This article belongs to the Special Issue Cellulose-Based Biosensing Platforms)

Abstract

:
Recent advancement has been accomplished in the field of biosensors through the modification of cellulose as a nano-engineered matrix material. To date, various techniques have been reported to develop cellulose-based matrices for fabricating different types of biosensors. Trends of involving cellulosic materials in paper-based multiplexing devices and microfluidic analytical technologies have increased because of their disposable, portable, biodegradable properties and cost-effectiveness. Cellulose also has potential in the development of cytosensors because of its various unique properties including biocompatibility. Such cellulose-based sensing devices are also being commercialized for various biomedical diagnostics in recent years and have also been considered as a method of choice in clinical laboratories and personalized diagnosis. In this paper, we have discussed the engineering aspects of cellulose-based sensors that have been reported where such matrices have been used to develop various analytical modules for the detection of small molecules, metal ions, macromolecules, and cells present in a diverse range of samples. Additionally, the developed cellulose-based biosensors and related analytical devices have been comprehensively described in tables with details of the sensing molecule, readout system, sensor configuration, response time, real sample, and their analytical performances.

1. Introduction

Cellulose is a biopolymer of β-1,4 D-glucose units, a widely used biomaterial that exhibits unique properties and is used in various industries including textiles, electronics, biomedical, etc. [1]. Cellulose is the most commonly occurring biomaterial on earth [2], obtained mainly from different plant species [3] and some form of bacteria [4], i.e., Acetobacterxylinum [5]. Glucose molecules are bonded with van der Waal forces and hydrogen bonding to form a parallel stacking of cellulose microfibrils into crystalline cellulose [6]. Due to its structural form, cellulose exhibits unique properties such as high young’s modulus, biocompatibility, biodegradability, high mechanical strength, transparency, and thermal stability, which allows high chemical modifications [7,8,9]. As well as appealing piezoelectricity, mechanical performance, dialectricity, and convertibility [10] have also been recorded. Cellulose has its application in a broad range of fields, such as in the pharmaceutical industry for coating of tablets, pellets, beads, granules [11], and in various other industries [12]. In addition to this, cellulose has also been widely used in the immobilization of different molecules, in wound healing, tissue engineering [13,14,15], and also has tremendous applications in flexible printed bioelectronics [16]. In recent times, further modification of cellulose with the nanostructures leads to its application as a matrix material for biosensor fabrication, which is generally called “nanocellulose”. Nanocellulose is a sustainable, renewable, and eco-friendly nanomaterial with remarkable properties such as high strength, low density, high specific surface area, high aspect ratio, etc. [17]. It is also worth mentioning that these properties are tunable, and they majorly rely on the chemical modification steps and type of nanomaterials integrated with cellulose matrix. These nano-cellulosic systems can be constructed using various methods such as chemical activation, grafting, coating, impregnation, covalent binding, cryocrushing, micro-fluidization, high-intensity ultrasonication and various other wet chemistry procedures [18]. They can be cellulose nanofibers (CNF), cellulose nanocrystal (CNC), or bacterial nanocellulose [19]. The remarkable properties of nanocellulose make the polymer of cellulose one of the most fascinating and advanced materials with implementation in various fields [20]. Cellulosic material possesses the complete degradation and biocompatible property due to which it is also called “green cellulose” [21] and is used for the fabrication of disposable and degradable sensors. The hydrogen bonding present in the core structure of cellulose provides both mechanical strength and flexibility at the same time; this unique property helps in the fabrication of a flexible matrix for sensors [22,23,24]. Due to such multidimensional properties and cost-effectiveness, cellulose has been considered as one of the most fascinating and widely used materials for the development of biosensors. For improving the sensitivity of the cellulose surface, novel modifications can be performed using conducting materials such as gold nanoparticles (AuNPs), carbon nanotubes (CNTs), gold-nanorods, graphene oxide (GO), and other nanocomposites [9,25].
In this review, we have critically evaluated the cellulose-based sensors that have been fabricated through distinct modification techniques and their varying applications for analyzing diverse sample types including small molecules, ions, macromolecules, and cells. While the studies on cellulose-based biosensors continue, major advances have been achieved in this field. Thus, we have performed a scientific survey for the research documentation concerning cellulose-based sensors through the online database “Scopus”, the result of which is quite a convincing indicator that cellulose-based biosensors have gained a major focus in recent times considering their multipotent abilities. According to this survey, it was found that more than 7000 research articles have been published in the last decade, following an exponential increase (Figure 1). In the following sections, we have listed the introductory concepts of cellulose biosensors followed by their nanobioengineering design aspects for the detection of diverse molecules in various real sample matrices.

2. Cellulose: Structure and Biosensing Design Aspects

A biosensor is defined as an analytical device that detects the biological molecule through electrical, thermal, or optical signals [26,27]. It consists of four components—the bio-recognition element, transducer, amplifier, and detector. Biorecognition elements are composed of enzymes, cells, DNA, proteins, tissue, organelles, antibodies, aptamers, etc. [26,28]. The analyte, when starting to sinter, acts with a biorecognition element to produce a signal that is converted to readable form by the transducer [29]. Depending upon the types of transducer, biosensors could be categorized commonly into different kinds such as optical, electrochemical, electromechanical, calorimetric, acoustic biosensors, etc. Optical biosensors detect the change in optical properties such as phase change, polarization, and change in frequency of light. Mechanical biosensors detect the variation in mechanical properties such as mass, force, motion, etc. Electrochemical biosensors analyze the change in chemical stimuli to readable electrical signals [26,30,31]. Colorimetric biosensors detect the change in color through naked eyes or by using simple optical detector [32]. To date, several cellulose-based sensors have been developed based on the source of cellulose and various modifications were performed according to the required function. Interestingly, the cellulose and its composite have been successfully used as a component of various transducing surfaces for the development of these sensors. Cellulose and its derivatives are designed to introduce the desired characteristics through chemical functionalization and also by changing the inherited inter and intra hydrogen-bonding pattern. Various nanomaterials are also explored for enzyme-like properties to enhance the electrocatalytical activity in the designing of biosensors.
In the structure of cellulose, each glucose unit consists of three hydroxyl groups at which chemical modifications are performed. These modifications can be majorly performed on the surface without disturbing the main chain, which results in the formation of the required cellulosic matrix [33]. The immobilization of cellulose with AuNPs [34], CNTs [35], reduced GO [36], quantum dots (QDs) [37], and other nanomaterials help in the fabrication of biosensors with enhanced properties in a cost-effective manner [38,39]. CNTs and rGO provide enhanced electrical conductivity and high active surface area that helps in large number of bio-receptor immobilization. AuNPs helps to establish a plasmonic field, color change, fluorescence quenching, and also assist in enhancing the surface area as well as electron transfer of the sensing surface [40,41,42]; QDs have unique luminescence and electronic properties [43], so they are also used in cellulose-based sensing platforms. Bacterial cellulose (BC) is an eco-friendly, natural three-dimensional nanostructure, and a low-cost molecule derived from bacteria, which is also used as a matrix material in biosensor development [44]. Biosensors based on BC show various advantages over conventional cellulose-based sensors because of their immense surface area, higher crystallinity, good biocompatibility, and great mechanical strength [45]. Cellulose-based biosensors are widely accepted and used for the detection of various sorts of molecules such as small molecules, macromolecules, metals, and cells [9], etc. CNFs are used for microfluidic channel preparation and enzyme derivatization in the microfluidic-sensor matrices for effective biomedical diagnosis [46,47]. These microfluidic sensors are inexpensive, disposable, lightweight, and a rapid method of diagnostics that supports rheological modification and exhibit mechanical strength and advantageous dimensional stability [48,49]. In addition to these, cellulose in another form, such as paper, has also been explored, for example, Whatman filter paper [50,51], glossy papers [52], paper towels [53], etc. Glossy paper can be used in a paper-based flexible sensing device, as it is composed of cellulose fibers blended with inorganic compounds. The main advantage of using glossy paper is that it is easy to engineer its surface properties.

3. Biosensors for the Detection of Small Molecules and Metals

Small molecules are the low molecular weight organic molecules, normally less than 900 Daltons. They perform various types of biological functions such as a signaling molecule, drugs, effector, and even sometimes changes the function of the target. Due to their size, they readily diffuse across the membranes. Due to their wide range of functions, it is required to monitor the small molecules involved in maintaining the biological functions. In this section, cellulose-based biosensors that are developed for the determination of numerous small molecules have been discussed. One of the most important small molecules is glucose, which has a tremendous role in clinical laboratories and other industries. Glucose is a monosaccharide ubiquitously present in humans and acts as a fuel of human body, and when it is present in the blood, is called blood sugar [54]. To detect glucose, various cellulose-based sensors have been developed in recent years. A blood glucose biosensor for simple and affordable monitoring has been developed recently for its direct detection in sweat and saliva samples [55]. In this case, sulfated (S-CNC) and non-sulfated (N-CNC) cellulose nanocrystal/magnetite film was used to determine the instant color change in the presence of glucose and 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid) (ABTS). The authors used the peroxidase-like characteristics of (N-CNC)-Fe3O4 and (S-CNC)-Fe3O4 nanoparticles to determine glucose, using glucose oxidase (GOx) and H2O2 (Figure 2B). Here, ABTS was used as a substrate for the peroxidase. Both sulfated and non-sulfated types of biosensors detect the concentration of glucose as low as 5 mM showing high sensitivity and concentration compared to the glucose level present in biological fluids. Even sulfated nanoparticles showed 1.5 to 2 times more reactivity than that of non-sulfated systems. An ampero metric glucose biosensor has been developed by Lawrence et al., 2014, through immobilization of GOx, extracted from Aspergillus niger, in a paper disk matrix (diameter 1 cm) positioned on the surface of a screen-printed carbon electrode (SPCE) [21]. For glucose oxidation, ferrocene monocarboxylic acid was used as an intermediate molecule. The developed paper-based biosensor was used for detecting the glucose at an extremely low operating volume of 5 μL and concentration range between 1 to 5 mM. The limit of detection (LOD) of the developed sensor was 180 μM (n = 5 at 90% confidence level). In addition to these, other glucose biosensors are mentioned in Table 1 with information related to the sensor’s design, readout system, and other analytical details.
In addition to glucose, other molecules are also detected using a cellulose-based sensor such as phenol, which is a major component of various industries and industrial waste that leads to its deteriorating effects on the environment. Phenol is one such toxic pollutant present in wastewater, released from industrial products, and causes harmful effects to aquatic life, plants, and also humans, sometimes leading to organ damage [56,57]. An electrochemical cellulose-based biosensor has been developed for the sensing of phenol by Manan et al., 2019 [58]. The biosensor was fabricated through hybridization of cetyltrimethylammonium bromide (CTAB) on nano-crystalline cellulose (NCC) and further hybridization of CTAB-NCC to QDs capped with 3-mercaptopropionic acid (MPA). The developed nanocomposite material was immobilized with tyrosinase enzyme (Tyr) to form CTAB-NCC/MPA-QDs/Tyr for the determination of phenol (Figure 2D). The developed biosensor shows the dynamic range from 5 to 40 μM (0.47 to 3.76 mg/L) and the observed LOD of the sensor was 82 nM (7.7 μg/L). It shows high sensitivity up to 0.078 μA/μM and can be a potential biosensor for detection of phenol in surrounding samples. Apart from these, cellulosic matrix is also being used in the sensing of amines, which are important materials employed in the food industry, biological processes, and are harmful to the atmosphere and public health [59].
A cellulose-based fluorescent biosensor has been developed for the sensing of various amines by Nawaz et al., 2020. The biosensor was manufactured by using the phenanthroline (Phen) as a color-imparting molecule and 4,4′-methylene diphenyl diisocyanate (MDI) immobilized on cellulose acetate (CA) to form a Phen-MDI-CA sensor for the visualization of amines [60]. Different colors of the fluorescent molecule were observed for different amines on Phen-MDI-CA paper by using UV-visible light. For example, the blue color fluorescence of Phen-MDI-CA modified to light blue when triethylamine (TEA) was used as a substrate, to green for diethyl amine (DEA), and to cyan for methylamine. The observed LOD of the manufactured biosensor was found to be 900 nmol, 990 nmol, 1700 nmol for TEA, EDA, methylamine, respectively. Not only these molecules but cellulosic matrices has been also applied for the sensing of pesticides such as fluazinam, which is a low-toxic fungicide that poses a threat to the environment and food safety [61]. Wang et al., 2020 prepared a paper-based biosensor for sensing and digital analysis of fluazinam. The biosensor was fabricated by crosslinking the disulfide MoS2 QDs into cellulose membranes. The developed biosensor shows the detection range between 10 to 800 μM. The LOD observed for the fluazinam sensor was 2.26 μM [62]. Apart from fluazinam, cellulose-based sensors were explored for the sensing of other toxins. A label-free electrochemical biosensor was developed for the quantification of aflatoxin B1 (AFB1) in wheat samples by Huang et al., 2020. The author used CNFs derived from BC and coupled them with AuNPs. It produced a unique 3D porous structure that helps in the speedy diffusion of electrolytes, providing a greater electrochemical working are a that helps in obtaining higher current magnitude in a typical differential pulse voltammogram (DPV). The developed sensor shows the detection of AFB1 in a broad concentration range from 50 to 25 × 103 pg mL−1 having a determination coefficient of 0.995. The estimated LOD for the immunosensor was observed to be 27 pg/mL [63]. The author also checked the reproducibility, stability, and selectivity of the biosensor and it was found to be suitable. As mentioned earlier, cellulose in its other forms, such as paper, which can be derived from wood, grasses, rags, and other sources, has also been widely used in sensing devices.
The cellulosic paper provides unique geometry and hydrophilic nature which are explored to develop paper-based analytical devices [64,65]. Phenylalanine (Phe) is an essential amino acid and failure of its metabolism causes phenylketonuria, which is due to the deficiency of phenylalanine hydroxylase enzyme, which converts Phe into tyrosine, due to which Phe is deposited in the human body and causes brain injury and neurocognitive dysfunction [66]. Sun et al., 2021, manufactured a paper-based biosensor for the identification of Phe using phenylalanine ammonia lyase hybrid nanoflowers [67]. The developed biosensor was capable of sensing Phe concentration in urine samples with detection range of 60 to 2400 μM within 10 min. In addition to these examples, sensors have also been developed for the detection of other small molecules, which has been comprehensively described in Table 1.
Cellulose-based biosensors are not simply used for the sensing of small molecules as discussed above; they are also used for the screening and detection of heavy metals. Heavy metals are detrimental to living beings beyond a particular concentration as they are not biodegradable and can accumulate in the body [71]. Cellulose-based biosensors have been designed for the sensing of various metal ions as well. A few examples that are specific and sensitive to a particular ion even in the presence of interfering molecules are discussed here. Copper ion (Cu2+) plays a significant role in different physiological processes, excess of which causes liver and kidney damage, and which is one of the frequently occurring ions causing the contamination of drinking water. A cellulose-based biosensor has been developed for the unaided detection of Cu2+ ions present in biological fluids by Wang et al., 2019 [69]. The biosensor was fabricated without the requirement of the probe using natural cellulose through a facile one-pot process, and structural characterization was carried out by Fourier transform infrared spectroscopy (FTIR). The sensitivity of the biosensor was detected in serum, urine, and water through the UV–vis absorption intensity and it shows the color change within 10 s. The LOD was concluded to be 1.9309, 1.9154 and 1.185 ppm in urine, serum, and tap water, respectively. The developed biosensor was established to be very effective in sensing Cu2+ ions in the biological fluids and showed rapid response time, high sensitivity, and selectivity (Figure 1E). Apart from Cu2+, other cellulose-based sensing systems have been developed for the other metal ion such as silver (Ag+), which is present in water and its high concentration causes adverse effects in the environment and on public health [72]. A cellulose-based colorimetric sensor has been fabricated for the detection of Ag+ in an aqueous solution by Wang et al., 2020 [70]. The biosensor was fabricated by embed ding thiourea (Tu) onto the surface of Eucalyptus cellulose, which is modified to dialdehyde cellulose (DAC) through a chemical grafting method. The visual detection method depends upon the chelation of Ag+ with N and S atoms of DAC-Tu to form N-Ag, S-Ag, and Ag2S and it shows different colors based on different concentrations of Ag+ (Figure 2F). The coloring mechanism between Ag+ and DAC-Tu in aqueous solution was characterized by nuclear magnetic resonance, transmission electron microscopy (TEM), and X-ray photoelectron spectroscopy (XPS) analysis. The signal response of the sensor reduces with an increase in the concentration of Ag+ and the LOD was found to be 10−6 mol/L within 10 min. Apart from these ions, cellulose-based sensing devices are also fabricated for the identification of zinc ion (Zn2+), which is found abundantly in the environment due to industrial processes and causes harm to human health. Such a cellulose-based optical biosensor was designed for the sensing of Zn2+ by Daniyal et al., 2019 [73]. The surface plasmon resonance (SPR)-based optical sensor was fabricated through enhancement of thin gold film with the help of NCC. The SPR signal was examined both with the unmodified and modified thin film of gold for determining the sensing potential. The Zn2+ interacts with the negative charge present on the modified-gold film and such an interaction has been investigated by XPS. The XPS scans into the region of 0 to 1400 eV and the recorded data were equipped with the Gaussian–Lorentzian curve program. The developed biosensor possessed a wide dynamic range with the LOD of 0.01 ppm and illustrates the sensitivity of about 1.892 ppm−1.
Interestingly, not only these ions but cellulose-based sensors have also been fabricated for the identification of mercury (Hg2+), which is a major threat to human health due to its toxicity. Timely detection is necessary to decrease the level of Hg2+ in industrial waste. Zheng et al., 2021, have prepared a paper-based fluorescent biosensor for the determination of Hg2+ [74] by immobilizing the cells in the alginate hydrogel, forming a cells-alginate hydrogel encapsulated system which was attached to the paper strip. The developed biosensor was able to detect Hg2+ at micro molar concentration in presence of other molecules and ions within 5 min. In addition to these examples, other developed biosensors for the determination of metal ions have been discussed in Table 1 with various information such as the readout system, sensor configuration, response time, detection range, and LOD.

4. Biosensors for Detection of Macromolecules

Macromolecules are relatively high molecular mass polymers composed of thousands of molecules. Macromolecules also show unusual properties that usually do not occur in small molecules. In living organisms, mainly three types of macromolecules are found which help in biological functions such as DNA, RNA, and proteins which are composed of monomer units, and other non-polymer types of macromolecule are also present such as lipid moiety and macrocycles. The developed cellulose-based sensors for the detection of various macromolecules are discussed in this section. A cellulose paper-based sensor has been fabricated for the visual detection of DNA by Jirakittiwut et al., 2015. The biosensor was developed by immobilization of acpc PNA (D-prolyl-2-aminocyclopentane-carboxylic acid PNA) on cellulose paper by divinyl sulfone-mediated conjugation [83]. PNA is an artificial mimic of the DNA that acts as a probe for the sensing of DNA. The interaction between PNA and DNA is based on the difference of charges on these molecules. PNA is a neutral molecule while DNA is a negatively charged molecule and thus provides a unique chance of interaction. The developed biosensor is highly specific and was even able to differentiate between the genes having the single base-pair mutation. The activity of the biosensor is checked using human leukocyte antigen and 26th mutations of thalassemia. The signal detection of the biosensor has been coupled with the cationic dye, Azure A, which lowers the detection limit (Figure 3A). Another paper-based biosensor was designed by Mohanraj et al., 2020, for the investigation of double-stranded DNA (dsDNA). The sensor was fabricated using graphene nanosheets through electrochemical exfoliation of the biomass, derived from corncob [84]. This paper-based graphene sensor can directly detect electrolytes without the requirement of sample preparation. The sensing of dsDNA was based on the oxidation of adenine and guanine within the detection range from 2 × 10−4 ng mL−1 to 50 × 10−4 ng mL−1 and the LOD of 0.68 pg mL−1. More information about other developed biosensors for nucleotide detection has been tabulated in Table 2.
Cellulose-based sensors are not only for the nucleotides but are also developed for the sensing of different types of proteins. In this direction, several proteins have been detected using a novel sensor system. In one such example, the transcription factor (TF) has been detected, which is a DNA binding protein essential for gene regulation. Lin et al., 2019, have developed a paper-based biosensor for the visual detection of TF, which was fabricated through dopamine coating onto the cellulose paper and was used to obtain the analytical signals [85]. Characterization of the developed sensor was performed by FTIR and other techniques. The developed biosensor was analyzed for the target NF-κB p50, which is based on the Exo III-mediated cycling amplification reaction and the response was investigated by a color change. It was also hypothesized that the proposed biosensor is generic and can be extended towards different biomolecules by changing the recognition system, and thus may provide a low-cost, disposable, portable biosensing device. Another type of protein molecule is alkaline phosphatase (ALP), a metalloprotein that is inherently present in milk and acts as a biomarker for the investigation of pasteurized milk. In this direction, Mahato et al., 2019, developed a paper-based biosensor for the visual identification of ALP integrated with a smartphone system [50]. The sensor was fabricated through immobilization of the ALP antibody on the top of the paper. The ALP was detected through an immune complexation reaction between probe and ALP that forms a blue-green precipitate in the presence of 5-bromo-4-chloro 3-indolyl phosphate (Figure 3E). The quantification was performed using the digital image colorimetry technique and the detection range was observed between 10 to 1000 U/mL; LOD was found to be 0.87 (±0.07) U/mL. This study helps in developing an affordable biosensor for checking the quality of milk in miniaturized and personalized settings.
Apart from these, cellulose-based devices have also been explored for the sensing of glycoproteins, which plays a critical role in cell division, cell signaling, cell migration, and also as a biomarker for various disease diagnoses [86]. Another paper-based electrochemical biosensor has been developed for the ultra-sensitive identification of glycoprotein ovalbumin (OVA) by Sun et al., 2019. The biosensor was fabricated through the introduction of Au nanorods on the cellulose paper, which acted as a matrix for the preparation of boron ate-based molecularly imprinted polymers (MIPs) [87]. For biosensor fabrication, AuNPs were embedded on the top of SiO2 nanoparticles and the formed SiO2@Au were anchored with the dsDNA to enhance the signal. CeO2 nanoparticles were used as an indicator that binds with the dsDNA, which leads to the formation of the SiO2@Au/dsDNA/CeO2 signal tag. The boron ate affinity-based MIPs were immobilized on a paper matrix to recognize the target glycoprotein OVA, through the covalent bonding formation between the boronic acid and glycoprotein. The detection range of the developed biosensor was measured to be 0.001 ng/mL to 1μg/mL and the LOD was 0.87 pg/mL (S/N = 3). Cellulose-based sensors have also been fabricated for the identification of another protein such as Bilirubin, which is related to jaundice and other clinical conditions. Tabatabaee et al., 2019, have prepared a photo lumines cent nano paper-based biosensor for early diagnosis of jaundice through the detection of Bilirubin in infants’ blood samples. This provides an easy, effective, non-toxic, disposable, and inexpensive biosensor with a smartphone readout [88]. Smartphone readout systems provide great potential for point-of-care and point-of-need platforms [89]. It was fabricated by embedding the photoluminescent carbon dot sensing probes in BC nano paper substrate. Quenching of the photoluminescence was observed in the presence of Bilirubin, which acts as a quencher and was selectively recovered upon blue light (λ = 470 nm) exposure. The resulting intensity of the biosensor was found to be linearly proportional to the amount of Bilirubin present in the sample with a detection range of 2 to 20 mg dL−1.
Furthermore, the cellulose-based matrix is explored for fabricating the biosensor for the detection of numerous types of enzymes. A cellulose-based calorimetric biosensor was manufactured by Ling et al., 2019, for the identification of the enzyme human neutrophil elastase (HNE) [91]. HNE is a serine protease secreted from neutrophil at the time of chronic wounds and leads to the breakdown of proteins responsible for healing. The biosensor was developed through immobilization of HNE peptide to the cotton and wood nanocellulose. Cotton CNCs show a higher degree of sensing than wood cellulose nanofibrils. The sensitivity of cotton CNCs colorimetric sensor was observed to be less than 0.005 U/mL. Apart from the HNE, cellulose-based sensors also developed for other enzymes such as acetylcholinesterase (AChE), which plays a significant role in the hydrolysis of the neurotransmitter acetylcholine into choline and acetic acid. AChE is present at the neuromuscular junction and in the chemical synapse, which terminates the synaptic transmission [92]. A cellulose nanofiber-based biosensor has been manufactured for the identification of AChE by Wang et al., 2021, by grafting the DNA aptamer onto CNF. For the detection of AChE activity, CNF-DNA was combined with silver to develop CNF-DNA-AgNCs and chemical characterization was performed by FTIR, XPS, scanning electron microscopy (SEM), and TEM analysis [93]. Acetylthiocholine (ATCh) has been used as a substrate for AChE, causing hydrolysis of ATCh, converting it to thiocholine that reacted with the CNF-DNA-AgNCs. This reaction overall generated the analytical signals that were calibrated to detect the target compound. The sensitivity of the developed biosensor for AChE concentration was observed to be 0.053 mU/mL. Both these and the cellulosic matrix were also designed for the sensing of various macromolecules, as described in Table 2 with their design parameters and analytical performances.

5. Biosensors for Detection of Cells

In addition to small molecules, macromolecules, and metal ions detection cellulose-based biosensors are also being developed for the visualization of cells. These biosensors are effective in determining both prokaryotic and eukaryotic cells. Here, we have discussed the previously developed sensors, focusing upon the identification of various kinds of bacteria, viruses, fungi, and also some cancer cells. In recent years, cellulose-based biosensors have been developed for bacteria detection where some interesting work has been carried out towards Staphylococcus aureus which produces enterotoxins and is the main reason for food poisoning and skin infections [99,100]. For the safety of food and to prevent humans from bacterial infection, it is required to focus on quick responsive detection of S. aureus. An electrochemical cellulose-based biosensor was manufactured for the early determination of living S. aureus cells from a sample of food containing both live and dead cells by Farooq et al., 2020. The biosensor was fabricated by immobilizing the bacteriophage onto a modified surface of the BC matrix. BC has a poriferous and fibrous structure that provides a larger effective surface for the impregnation of carboxy late multiwalled carbon nanotubes (c-MWCNTs), which enables greater density and phage immobilization. BC/c-MWCNTs nanocomposites modified through surface polymerization with polyethylene eimine provide a positive charge, which assists in the correct orientation of the phage on the matrix. Detection of anti-staphylococcus activity of the immobilized phage was measured through optical density and the density was determined through confocal microscopy. The developed biosensor effectively detects S. aureus up to 3 and 5 CFU⋅mL−1 in the phosphate buffer saline and milk sample, respectively, using DPV in 30 min [101]. The biosensor shows high sensitivity, specificity, accuracy, and stability up to six weeks at 4 °C (Figure 4A). The investigation of bacterial pathogens is a main problem for the food industry and also for public health. Escherichia coli, Staphylococcus aureus, and Listeria monocytogenes are the three most crucial microorganisms which disperse through food and cause food borne diseases [102,103]. Another paper-based biosensor was fabricated for the identification of pathogenic bacteria by Liu et al., 2015. The biosensor relied on multiplex asymmetric PCR and a paper-based matrix. The probe was conjugated with AuNPs for the visual sensing of genomic DNA of the pathogenic microorganism. The detection limit of the developed method was found to be 1 pg/μL genomic DNA in standard conditions [103]. Additionally, another paper-based sensor was developed for the detection of a highly pathogenic microorganism: Escherichia coli O157:H7 present in food samples through naked eye detection by You et al., 2021. The biosensor was fabricated by using Poly-L-lysine-coated starch magnetic particles (PLL@SMPs) for magnetic separation. The signal amplification is performed by using an antibody conjugated with Horseradish peroxidase and 3, 3′, 5, 5′-tetramethylbenzidine. The developed PLL@SMPs show an efficiency of >90% in a large volume for the target bacteria. The LOD of the biosensor was observed to be as low as 30.8 CFU/mL with a probability of 95% [104]. This technique may offer an easy, sensitive, and specific process for the evaluation of the food and surrounding samples. Apart from the bacteria, interestingly, cellulose-based sensing devices have also been used for the detection of viruses. Pseudorabies virus (PRV) causes porcine pseudorabies, which is an acute virulent that is infectious to livestock and wildlife. Due to the swine infection with PRV, there is a great financial loss for the pig industry which requires the urgent diagnosis of PRV. Recently, Huang et al., 2021, have manufactured a paper-based biosensor integrated with a smartphone for the diagnosis of wild-type PRV infection [105]. For detection, latex beads have been used for labeling PRV and the coated test line with PRV gE-m Abs. The signals were recorded and processed using the smartphone’s light detector. The developed biosensor indicates excellent sensitivity, selectivity, and rapid detection of PRV within 15 min.
Nowadays, cytosensing is also extensively used for the detection of multiple types of cancer cells [106,107]. There are various surface biomarkers such as MUC-1 (Mucin 1), carcino embryonic antigen (CEA), BRCA1, BRCA2, HERS, folic acid receptors, sialic-acid associated glycoprotein, and many other protein/glycoprotein biomarkers [108] that are recognized by aptamers [109], antibodies, and nano-enzymes immobilized on cellulose matrix [110]. More emphasis has been given on whole cell-system-based biosensing and a microfluidic system for targeting different antigens expressed by cancer cells at the onset of the disease. Cellulose-based multiplexed biosensor systems and microfluidic paper-based biosensing devices are utilized nowadays for detecting multiple surface antigen-specific to cancer synchronously. Kumar et al. (2016) portrayed electrochemical biosensors for the investigation of CEA cancer biomarker [111]. The sensor was developed using a novel strategy comprising systematic layering of the components. The performance of the sensor was comparable and shows the CEA in clinical levels. Liang et al. (2016) detected the cancer cells by multiplexed sensing panel, which is based on a microfluidic paper-based biosensor [112]. The author uses mesoporous silica nanoparticles that were encapsulated with cadmium telluride QDs and DNA aptamers were immobilized onto it, offer ing great sensitivity, specificity, and efficiency against MCF-7, HL-60, K562 cancerous cells using the quenching ability of GO [112]. When tumor cells were injected on the microfluidic paper analytical device, the fluorescence intensity of QDs increases [113]. This kind of microfluidics paper analytical device could be utilized for the identification of metastatic phases of cancerous cells. In another study, Shi, Ma et al., 2019, used an SPCE for the sensing of cancer antigen 125, which was fabricated on a pure cellulosic paper [114]. Dickert et al. created an ABO blood grouping-based biosensor system. In this device, they fabricated the polyurethane imprints on which different surface antigens were identified based on the type of blood group [115]. In an interesting study by Feng, Liu, et al., 2014, a paper-based electrochemiluminescence (ECL) biosensor has been developed for the detection of HL-60 cancer cells. The biosensor was fabricated by coating the AuNPs and graphene on the surface of porous filter paper in a systematic manner. The aptamer used was flagged with silica nanoparticles conjugated with Ru(bpy)32+ and showed a high affinity towards the target cell (Figure 4B). ECL intensity directly shows the quantity of the HL-60 cancer cells with the detection range of 56 to 56 × 105 cells/mL [116].
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks were announced as a global pandemic by WHO. Rapid and sensitive detection of the virus has become the need of the hour and various methods have been explored by scientists across the globe [118,119,120,121,122]. In recent research, a paper-based electrochemical biosensor has been fabricated for the investigation of SARS-CoV-2 [123]. A label-free paper-based biosensor was manufactured by Yakoh et al., 2021, targeting the SARS-CoV-2 antibodies even excluding the need for a specific antibody. The appearance of SARS-CoV-2 antibodies would obstruct the redox reaction of the redox indicator, and the response was measured as a decrease in the current. The recorded result was proven effective when compared with clinical reports, showing satisfactory results [123]. This example clearly suggests the importance of cellulose matrix even in the design and development of biosensors for pandemics. Further examples of cellulosic sensors for the sensing of cells are mentioned in Table 3 with their analytical details.

6. Conclusions and Future Prospects

Cellulose is a widely used material showing various advantages over other materials. Cellulose exhibits unique properties such as biocompatibility, flexibility, mechanical strength, biodegradability, electrical properties, and cost-effectiveness. Apart from the cellulose derived from plants, bacterial cellulose, which is obtained from bacteria, shows more advantageous properties such as mechanical strength, water-holding capacity, and biocompatibility. These advantages of cellulose have made it a significant matrix substance in recent times for the fabrication of biosensors. Many applications have been reported concerning cellulose-based sensing of biomarkers for various disease conditions such as cancer, diabetes, liver and kidney disorders, etc., and also in the detection and monitoring of food quality and various pollutants and heavy metals present in surrounding samples, such as in wastewater. Owing to the significant advances, various methods have been examined to modify cellulose to nanocomposite material, which shows unique structures and desirable properties. In this review, a detailed discussion has been carried out on various modifications required for the formation of cellulose matrix and engineering aspects of the cellulose-based sensors for their applications in different areas.
These sensors are used for sensing the numerous types of small molecules, macromolecules, metal ions, and cells, which are discussed through the numerous examples of sensors. We have tried to include the fabricated sensors to date for various categories of molecules possible, and the techniques/methods used for their modifications. Despite the great progress achieved, there are still some issues that need to be addressed. Recent advances in cellulose-based biosensors typically exhibiting a single function type only and lack the multi-functionality, which leads to its limitation in function and also affects the performances and customer satisfaction. In the future, numerous innovative technologies could be introduced in developing cost-effective multifunctional cellulose-based biosensors.

Author Contributions

Conceptualization, P.C.; writing—original draft preparation, D.; P.C.; writing—review and editing, D., S.M., V.R.S., P.C.; visualization, P.C.; supervision, P.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by IIT (BHU) Varanasi seed grant, grant number (IIT (BHU)/Budget/19-(14)/2020-21/18792).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

Pranjal Chandra acknowledge Pramod Kumar Jain, Director of the Indian Institute of Technology (BHU) Varanasi, India for encouragement and providing the necessary facility for completion of this work. Author D. acknowledge her PhD research fellowship by IIT (BHU).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hallac, B.B.; Ragauskas, A.J. Analyzing cellulose degree of polymerization and its relevancy to cellulosic ethanol. Biofuels Bioprod. Biorefining 2011, 5, 215–225. [Google Scholar] [CrossRef]
  2. Li, S.; Bashline, L.; Lei, L.; Gu, Y. Cellulose synthesis and its regulation. Arab. Book 2014, 12, e0169. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Maleki, S.S.; Mohammadi, K.; Ji, K.S. Characterization of cellulose synthesis in plant cells. Sci. World J. 2016, 2016, 8641373. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Rangaswamy, B.E.; Vanitha, K.P.; Hungund, B.S. Microbial cellulose production from bacteria isolated from rotten fruit. Int. J. Polym. Sci. 2015, 2015, 280784. [Google Scholar] [CrossRef] [Green Version]
  5. Ghozali, M.; Meliana, Y.; Chalid, M. Synthesis and characterization of bacterial cellulose by Acetobacter xylinum using liquid tapioca waste. Mater. Today 2021, 44, 2131–2134. [Google Scholar] [CrossRef]
  6. Song, D.; Shen, J.; Li, L. Characterization of cellulose synthase complexes in Populus xylem differentiation. New Phytol. 2010, 187, 777–790. [Google Scholar] [CrossRef] [PubMed]
  7. Morales-Narváez, E.; Golmohammadi, H.; Naghdi, T.; Yousefi, H.; Kostiv, U.; Horak, D.; Pourreza, N.; Merkoçi, A. Nanopaper as an optical sensing platform. ACS Nano 2015, 9, 7296–7305. [Google Scholar] [CrossRef]
  8. Kamel, S.; Khattab, A.T. Recent advances in cellulose-based biosensors for medical diagnosis. Biosensors 2020, 10, 67. [Google Scholar] [CrossRef]
  9. Ratajczak, K.; Stobiecka, M. High-performance modified cellulose paper-based biosensors for medical diagnostics and early cancer screening: A concise review. Carbohydr. Polym. 2020, 229, 115463. [Google Scholar] [CrossRef]
  10. Wang, Y.; Hou, S.; Li, T.; Jin, S.; Shao, Y.; Yang, H.; Wu, D.; Dai, S.; Lu, Y.; Chen, S.; et al. Flexible capacitive humidity sensors based on ionic conductive wood-derived cellulose nanopapers. ACS Appl. Mater. Interfaces 2020, 12, 41896–41904. [Google Scholar] [CrossRef]
  11. Kamel, S.; Ali, N.; Jahangir, K.; Shah, S.M.; El-Gendy, A.A. Pharmaceutical significance of cellulose: A review. Express Polym. Lett. 2008, 2, 758–778. [Google Scholar] [CrossRef]
  12. Lavanya, D.; Kulkarni, P.; Dixit, M.; Raavi, P.K.; Krishna, L.N.V. Sources of cellulose and their applications—A review. Int. J. Drug Formul. Res. 2011, 2, 19–38. [Google Scholar]
  13. Park, H.-J.; Yu, S.J.; Yang, K.; Jin, Y.; Cho, A.-N.; Kim, J.; Lee, B.; Yang, H.S.; Im, S.G.; Cho, S.-W. Based bioactive scaffolds for stem cell-mediated bone tissue engineering. Biomaterials 2014, 35, 9811–9823. [Google Scholar] [CrossRef] [PubMed]
  14. Lim, W.Y.; Goh, B.T.; Khor, S.M. Microfluidic paper-based analytical devices for potential use in quantitative and direct detection of disease biomarkers in clinical analysis. J. Chromatogr. B 2017, 1060, 424–442. [Google Scholar] [CrossRef] [PubMed]
  15. Prathapan, R.; McLiesh, H.; Garnier, G.; Tabor, R.F. Surface engineering of transparent cellulose nanocrystal coatings for biomedical applications. ACS Appl. Bio Mater. 2018, 1, 728–737. [Google Scholar] [CrossRef]
  16. Zhu, G.; Yin, X.; Jin, D.; Zhang, B.; Gu, Y.; An, Y. Paper-based immunosensors: Current trends in the types and applied detection techniques. TrAC Trends Anal. Chem. 2019, 111, 100–117. [Google Scholar] [CrossRef]
  17. Gopakumar, D.A.; Thomas, S.; Owolabi, F.; Thomas, S.; Nzihou, A.; Rizal, S.; Khalil, H.A. Nanocellulose based aerogels for varying engineering applications. Encycl. Renew. Sustain. Mater. 2020, 2, 155–165. [Google Scholar]
  18. Tortorella, S.; Buratti, V.V.; Maturi, M.; Sambri, L.; Franchini, M.C.; Locatelli, E. Surface-modified nanocellulose for application in biomedical engineering and nanomedicine: A review. Int. J. Nanomed. 2020, 15, 9909. [Google Scholar] [CrossRef]
  19. Klemm, D.; Kramer, F.; Moritz, S.; Lindstrom, T.; Ankerfors, M.; Gray, D.; Dorris, A. Nanocelluloses: A new family of nature-based materials. Angew. Chem. Int. Ed. Engl. 2011, 50, 5438–5466. [Google Scholar] [CrossRef]
  20. Moon, R.J.; Martini, A.; Nairn, J.; Simonsen, J.; Youngblood, J. Cellulose nanomaterials review: Structure, properties and nanocomposites. Chem. Soc. Rev. 2011, 40, 3941–3994. [Google Scholar] [CrossRef] [PubMed]
  21. Kuek Lawrence, C.S.; Tan, S.N.; Floresca, C.Z. A “green” cellulose paper based glucose amperometric biosensor. Sens. Actuators B 2014, 193, 536–541. [Google Scholar] [CrossRef]
  22. Zhao, D.; Zhu, Y.; Cheng, W.; Chen, W.; Wu, Y.; Yu, H. Cellulose-based flexible functional materials for emerging intelligent electronics. Adv. Mater. 2020, 2000619. [Google Scholar] [CrossRef]
  23. Oishi, Y.; Nakaya, M.; Matsui, E.; Hotta, A. Structural and mechanical properties of cellulose composites made of isolated cellulose nanofibers and poly (vinyl alcohol). Compos. Part A 2015, 73, 72–79. [Google Scholar] [CrossRef]
  24. Ramezani, M.G.; Golchinfar, B. Mechanical properties of cellulose nanocrystal (cnc) bundles: Coarse-grained molecular dynamic simulation. J. Compos. Sci. 2019, 3, 57. [Google Scholar] [CrossRef] [Green Version]
  25. Baranwal, A.; Mahato, K.; Srivastava, A.; Maurya, P.K.; Chandra, P. Phytofabricated metallic nanoparticles and their clinical applications. RSC Adv. 2016, 6, 105996–106010. [Google Scholar] [CrossRef]
  26. Purohit, B.; Vernekar, P.R.; Shetti, N.P.; Chandra, P. Biosensor nanoengineering: Design, operation, and implementation for biomolecular analysis. Sens. Int. 2020, 1, 100040. [Google Scholar] [CrossRef]
  27. Mahato, K.; Prasad, A.; Maurya, P.; Chandra, P. Nanobiosensors: Next generation point-of-care biomedical devices for personalized diagnosis. J. Anal. Bioanal. Tech. 2016, 7, e125. [Google Scholar]
  28. Chandra, P. Advances in clinical diagnosis through electrochemical aptamer sensors. J. Bioanal. Biomed. 2013, 5, e119. [Google Scholar] [CrossRef] [Green Version]
  29. Mahato, K.; Maurya, P.K.; Chandra, P. Fundamentals and commercial aspects of nanobiosensors in point-of-care clinical diagnostics. 3 Biotech 2018, 8, 149. [Google Scholar] [CrossRef]
  30. Purohit, B.; Kumar, A.; Mahato, K.; Chandra, P. Smartphone-assisted personalized diagnostic devices and wearable sensors. Curr. Opin. Biomed. Eng. 2020, 13, 42–50. [Google Scholar] [CrossRef]
  31. Chandra, P. Miniaturized multiplex electrochemical biosensor in clinical bioanalysis. J. Bioanal. Biomed. 2013, 5, e122. [Google Scholar]
  32. Zhao, V.X.T.; Wong, T.I.; Zheng, X.T.; Tan, Y.N.; Zhou, X. Colorimetric biosensors for point-of-care virus detections. Mater. Sci. Energy Technol. 2020, 3, 237–249. [Google Scholar] [CrossRef]
  33. Khan, A.; Abas, Z.; Kim, H.S.; Kim, J. Recent progress on cellulose-based electro-active paper, its hybrid nanocomposites and applications. Sensors 2016, 16, 1172. [Google Scholar] [CrossRef] [Green Version]
  34. Saeed, A.A.; Abbas, M.N.; Singh, B.; Abou-Zeid, R.E.; Kamel, S. Cellulose nanocrystals decorated with gold nanoparticles immobilizing GOx enzyme for non-invasive biosensing of human salivary glucose. Anal. Methods 2019, 11, 6073–6083. [Google Scholar] [CrossRef]
  35. Ahmad, R.; Khare, S.K. Immobilization of Aspergillus Niger cellulase on multiwall carbon nanotubes for cellulose hydrolysis. Bioresour. Technol. 2018, 252, 72–75. [Google Scholar] [CrossRef]
  36. Lee, J.; Kim, J.; Kim, S.; Min, D.H. Biosensors based on graphene oxide and its biomedical application. Adv. Drug Deliv. Rev. 2016, 105, 275–287. [Google Scholar] [CrossRef] [PubMed]
  37. Ma, F.; Li, C.C.; Zhang, C.Y. Development of quantum dot-based biosensors: Principles and applications. J. Mater. Chem. B 2018, 6, 6173–6190. [Google Scholar] [CrossRef] [PubMed]
  38. Chandra, P.; Das, D.; Abdelwahab, A.A. Gold nanoparticles in molecular diagnostics and therapeutics. Digest J. Nanomater. Biostructures 2010, 5, 363–367. [Google Scholar]
  39. Koh, W.C.A.; Chandra, P.; Kim, D.-M.; Shim, Y.-B. Electropolymerized self-assembled layer on gold nanoparticles: Detection of inducible nitric oxide synthase in neuronal cell culture. Anal. Chem. 2011, 83, 6177–6183. [Google Scholar] [CrossRef]
  40. Stobiecka, M.; Chalupa, A. Modulation of plasmon-enhanced resonance energy transfer to gold nanoparticles by protein survivin channeled-shell gating. J. Phys. Chem. B 2015, 119, 13227–13235. [Google Scholar] [CrossRef] [PubMed]
  41. Purohit, B.; Kumar, A.; Mahato, K.; Chandra, P. Electrodeposition of metallic nanostructures for biosensing applications in health care. J. Sci. Res. 2020, 64, 68–73. [Google Scholar] [CrossRef]
  42. Mahato, K.; Nagpal, S.; Shah, M.A.; Srivastava, A.; Maurya, P.K.; Roy, S.; Jaiswal, A.; Singh, R.; Chandra, P. Gold nanoparticle surface engineering strategies and their applications in biomedicine and diagnostics. 3 Biotech 2019, 9, 57. [Google Scholar] [CrossRef] [PubMed]
  43. Valizadeh, A.; Mikaeili, H.; Samiei, M.; Farkhani, S.M.; Zarghami, N.; Akbarzadeh, A.; Davaran, S. Quantum dots: Synthesis, bioapplications, and toxicity. Nanoscale Res. Lett. 2012, 7, 1–14. [Google Scholar] [CrossRef] [Green Version]
  44. Ullah, H.; Wahid, F.; Santos, H.A.; Khan, T. Advances in biomedical and pharmaceutical applications of functional bacterial cellulose-based nanocomposites. Carbohydr. Polym. 2016, 150, 330–352. [Google Scholar] [CrossRef] [PubMed]
  45. Gomes, N.O.; Carrilho, E.; Machado, S.A.S.; Sgobbi, L.F. Bacterial cellulose-based electrochemical sensing platform: A smart material for miniaturized biosensors. Electrochim. Acta 2020, 349, 136341. [Google Scholar] [CrossRef]
  46. Prasad, A.; Mahato, K.; Chandra, P.; Srivastava, A.; Joshi, S.N.; Maurya, P.K. Bioinspired composite materials: Applications in diagnostics and therapeutics. J. Mol. Eng. Mater. 2016, 4, 1640004. [Google Scholar] [CrossRef] [Green Version]
  47. Mahato, K.; Kumar, A.; Purohit, B.; Mahapatra, S.; Srivastava, A.; Chandra, P. Nanomaterial functionalization strategies in bio-interface development for modern diagnostic devices. In Biointerface Engineering: Prospects in Medical Diagnostics and Drug Delivery; Springer: Singapore, 2020; pp. 195–214. [Google Scholar]
  48. Chinnadayyala, S.R.; Park, J.; Le, H.T.N.; Santhosh, M.; Kadam, A.N.; Cho, S. Recent advances in microfluidic paper-based electrochemiluminescence analytical devices for point-of-care testing applications. Biosens. Bioelectron. 2019, 126, 68–81. [Google Scholar] [CrossRef] [PubMed]
  49. Akyazi, T.; Basabe-Desmonts, L.; Benito-Lopez, F. Review on microfluidic paper-based analytical devices towards commercialisation. Anal. Chim. Acta 2018, 1001, 1–17. [Google Scholar] [CrossRef] [PubMed]
  50. Mahato, K.; Chandra, P. Paper-based miniaturized immunosensor for naked eye ALP detection based on digital image colorimetry integrated with smartphone. Biosens. Bioelectron. 2019, 128, 9–16. [Google Scholar] [CrossRef]
  51. Kumar, A.; Hens, A.; Arun, R.K.; Chatterjee, M.; Mahato, K.; Layek, K.; Chanda, N. A paper based microfluidic device for easy detection of uric acid using positively charged gold nanoparticles. Analyst 2015, 140, 1817–1821. [Google Scholar] [CrossRef]
  52. Arena, A.; Donato, N.; Saitta, G.; Bonavita, A.; Rizzo, G.; Neri, G. Flexible ethanol sensors on glossy paper substrates operating at room temperature. Sens. Actuators B 2010, 145, 488–494. [Google Scholar] [CrossRef]
  53. Cinti, S.; Mazzaracchio, V.; Cacciotti, I.; Moscone, D.; Arduini, F. Carbon black-modified electrodes screen-printed onto paper towel, waxed paper and parafilm M((R)). Sensors 2017, 17, 2267. [Google Scholar] [CrossRef] [PubMed]
  54. Mahadeva, S.K.; Kim, J. Conductometric glucose biosensor made with cellulose and tin oxide hybrid nanocomposite. Sens. Actuators B 2011, 157, 177–182. [Google Scholar] [CrossRef]
  55. Tracey, C.T.; Torlopov, M.A.; Martakov, I.S.; Vdovichenko, E.A.; Zhukov, M.; Krivoshapkin, P.V.; Mikhaylov, V.I.; Krivoshapkina, E.F. Hybrid cellulose nanocrystal/magnetite glucose biosensors. Carbohydr. Polym. 2020, 247, 116704. [Google Scholar] [CrossRef]
  56. Guan, H.; Liu, X.; Wang, W. Encapsulation of tyrosinase within liposome bioreactors for developing an amperometric phenolic compounds biosensor. J. Solid State Electrochem. 2013, 17, 2887–2893. [Google Scholar] [CrossRef]
  57. Zhang, J.; Lei, J.; Liu, Y.; Zhao, J.; Ju, H. Highly sensitive amperometric biosensors for phenols based on polyaniline-ionic liquid-carbon nanofiber composite. Biosens. Bioelectron. 2009, 24, 1858–1863. [Google Scholar] [CrossRef]
  58. Manan, F.A.A.; Hong, W.W.; Abdullah, J.; Yusof, N.A.; Ahmad, I. Nanocrystalline cellulose decorated quantum dots based tyrosinase biosensor for phenol determination. Mater. Sci. Eng. C Mater. Biol. Appl. 2019, 99, 37–46. [Google Scholar] [CrossRef]
  59. Cao, X.; Ding, Q.; Zhao, N.; Gao, A.; Jing, Q. Supramolecular self-assembly system based on naphthalimide boric acid ester derivative for detection of organic amine. Sens. Actuators B 2018, 256, 711–720. [Google Scholar] [CrossRef]
  60. Nawaz, H.; Zhang, J.; Tian, W.; Jin, K.; Jia, R.; Yang, T.; Zhang, J. Cellulose-based fluorescent sensor for visual and versatile detection of amines and anions. J. Hazard. Mater. 2020, 387, 121719. [Google Scholar] [CrossRef]
  61. Younes, N.A.; Dawood, M.F.A.; Wardany, A.A. The phyto-impact of fluazinam fungicide on cellular structure, agro-physiological, and yield traits of pepper and eggplant crops. Environ. Sci. Pollut. Res. Int. 2020, 27, 18064–18078. [Google Scholar] [CrossRef]
  62. Wang, X.; Hou, J.; Lan, S.; Shen, C.; Huo, D.; Ji, Z.; Ma, Y.; Luo, H.; Zhang, S.; He, Q.; et al. MoS2 QDs-based sensor for measurement of fluazinam with triple signal output. Anal. Chim. Acta 2020, 1108, 152–159. [Google Scholar] [CrossRef]
  63. Huang, Y.; Zhu, F.; Guan, J.; Wei, W.; Zou, L. Label-free amperometric immunosensor based on versatile carbon nanofibers network coupled with au nanoparticles for aflatoxin B1 detection. Biosensors 2020, 11, 5. [Google Scholar] [CrossRef]
  64. Ahmed, S.; Bui, M.P.; Abbas, A. Paper-based chemical and biological sensors: Engineering aspects. Biosens. Bioelectron. 2016, 77, 249–263. [Google Scholar] [CrossRef] [PubMed]
  65. Mahato, K.; Srivastava, A.; Chandra, P. Paper based diagnostics for personalized health care: Emerging technologies and commercial aspects. Biosens. Bioelectron. 2017, 96, 246–259. [Google Scholar] [CrossRef]
  66. Levy, H.L.; Sarkissian, C.N.; Scriver, C.R. Phenylalanine ammonia lyase (PAL): From discovery to enzyme substitution therapy for phenylketonuria. Mol. Genet. Metab. 2018, 124, 223–229. [Google Scholar] [CrossRef]
  67. Sun, B.; Wang, Z.; Wang, X.; Qiu, M.; Zhang, Z.; Wang, Z.; Cui, J.; Jia, S. Paper-based biosensor based on phenylalnine ammonia lyase hybrid nanoflowers for urinary phenylalanine measurement. Int. J. Biol. Macromol. 2021, 166, 601–610. [Google Scholar] [CrossRef] [PubMed]
  68. Esmaeili, C.; Abdi, M.M.; Mathew, A.P.; Jonoobi, M.; Oksman, K.; Rezayi, M. Synergy effect of nanocrystalline cellulose for the biosensing detection of glucose. Sensors 2015, 15, 24681–24697. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Wang, R.J.; Zhang, L.W.; Liu, R.; Liu, L.; Yao, J.M. Ultra-fast and probe-free cellulose biosensor for visual detection of Cu(2+) ions in biological samples. Carbohydr. Polym. 2019, 223, 115117. [Google Scholar] [CrossRef] [PubMed]
  70. Wang, L.; Zhang, C.; He, H.; Zhu, H.; Guo, W.; Zhou, S.; Wang, S.; Zhao, J.R.; Zhang, J. Cellulose-based colorimetric sensor with N, S sites for Ag(+) detection. Int. J. Biol. Macromol. 2020, 163, 593–602. [Google Scholar] [CrossRef] [PubMed]
  71. Jaishankar, M.; Tseten, T.; Anbalagan, N.; Mathew, B.B.; Beeregowda, K.N. Toxicity, mechanism and health effects of some heavy metals. Interdiscip. Toxicol. 2014, 7, 60–72. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Jin, J.-C.; Wang, B.-B.; Xu, Z.-Q.; He, X.-H.; Zou, H.-F.; Yang, Q.-Q.; Jiang, F.-L.; Liu, Y. A novel method for the detection of silver ions with carbon dots: Excellent selectivity, fast response, low detection limit and good applicability. Sens. Actuators B 2018, 267, 627–635. [Google Scholar] [CrossRef]
  73. Daniyal, W.M.E.M.M.; Fen, Y.W.; Anas, N.A.A.; Omar, N.A.S.; Ramdzan, N.S.M.; Nakajima, H.; Mahdi, M.A. Enhancing the sensitivity of a surface plasmon resonance-based optical sensor for zinc ion detection by the modification of a gold thin film. RSC Adv. 2019, 9, 41729–41736. [Google Scholar] [CrossRef] [Green Version]
  74. Zheng, Y.; Wei, L.; Duan, L.; Yang, F.; Huang, G.; Xiao, T.; Wei, M.; Liang, Y.; Yang, H.; Li, Z.; et al. Rapid field testing of mercury pollution by designed fluorescent biosensor and its cells-alginate hydrogel-based paper assay. J. Environ. Sci. 2021, 106, 161–170. [Google Scholar] [CrossRef]
  75. Veerapandian, M.; Seo, Y.T.; Shin, H.; Yun, K.; Lee, M.H. Functionalized graphene oxide for clinical glucose biosensing in urine and serum samples. Int. J. Nanomed. 2012, 7, 6123–6136. [Google Scholar] [CrossRef] [Green Version]
  76. Wang, W.; Zhang, T.J.; Zhang, D.W.; Li, H.Y.; Ma, Y.R.; Qi, L.M.; Zhou, Y.L.; Zhang, X.X. Amperometric hydrogen peroxide biosensor based on the immobilization of heme proteins on gold nanoparticles-bacteria cellulose nanofibers nanocomposite. Talanta 2011, 84, 71–77. [Google Scholar] [CrossRef]
  77. Cinti, S.; Basso, M.; Moscone, D.; Arduini, F. A paper-based nanomodified electrochemical biosensor for ethanol detection in beers. Anal. Chim. Acta 2017, 960, 123–130. [Google Scholar] [CrossRef] [PubMed]
  78. Scognamiglio, V.; Antonacci, A.; Arduini, F.; Moscone, D.; Campos, E.V.R.; Fraceto, L.F.; Palleschi, G. An eco-designed paper-based algal biosensor for nanoformulated herbicide optical detection. J. Hazard. Mater. 2019, 373, 483–492. [Google Scholar] [CrossRef]
  79. Jayaweera, S.; Yin, K.; Hu, X.; Ng, W.J. Fluorescent N/Al Co-doped carbon dots from cellulose biomass for sensitive detection of manganese (VII). J. Fluoresc. 2019, 29, 1291–1300. [Google Scholar] [CrossRef] [PubMed]
  80. Lv, P.; Yao, Y.; Li, D.; Zhou, H.; Naeem, M.A.; Feng, Q.; Huang, J.; Cai, Y.; Wei, Q. Self-assembly of nitrogen-doped carbon dots anchored on bacterial cellulose and their application in iron ion detection. Carbohydr. Polym. 2017, 172, 93–101. [Google Scholar] [CrossRef]
  81. Tsagkaris, A.S.; Pulkrabova, J.; Hajslova, J.; Filippini, D. A hybrid lab-on-a-chip injector system for autonomous carbofuran screening. Sensors 2019, 19, 5579. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  82. El-Moghazy, A.Y.; Amaly, N.; Istamboulie, G.; Nitin, N.; Sun, G. A signal-on electrochemical aptasensor based on silanized cellulose nanofibers for rapid point-of-use detection of ochratoxin A. Microchim. Acta 2020, 187, 1–11. [Google Scholar] [CrossRef]
  83. Jirakittiwut, N.; Panyain, N.; Nuanyai, T.; Vilaivan, T.; Praneenararat, T. Pyrrolidinyl peptide nucleic acids immobilised on cellulose paper as a DNA sensor. RSC Adv. 2015, 5, 24110–24114. [Google Scholar] [CrossRef]
  84. Mohanraj, J.; Durgalakshmi, D.; Rakkesh, R.A.; Balakumar, S.; Rajendran, S.; Karimi-Maleh, H. Facile synthesis of paper based graphene electrodes for point of care devices: A double stranded DNA (dsDNA) biosensor. J. Colloid. Interface Sci. 2020, 566, 463–472. [Google Scholar] [CrossRef] [PubMed]
  85. Lin, H.; Wang, X.; Wu, J.; Li, H.; Li, F. Equipment-free and visualized biosensor for transcription factor rapid assay based on dopamine-functionalized cellulose paper. J. Mater. Chem. B 2019, 7, 5461–5464. [Google Scholar] [CrossRef]
  86. Parker, R.B.; Kohler, J.J. Regulation of intracellular signaling by extracellular glycan remodeling. ACS Chem. Biol. 2010, 5, 35–46. [Google Scholar] [CrossRef] [PubMed]
  87. Sun, X.; Jian, Y.; Wang, H.; Ge, S.; Yan, M.; Yu, J. Ultrasensitive microfluidic paper-based electrochemical biosensor based on molecularly imprinted film and boronate affinity sandwich assay for glycoprotein detection. ACS Appl. Mater. Interfaces 2019, 11, 16198–16206. [Google Scholar] [CrossRef] [PubMed]
  88. Tabatabaee, R.S.; Golmohammadi, H.; Ahmadi, S.H. Easy diagnosis of jaundice: A smartphone-based nanosensor bioplatform using photoluminescent bacterial nanopaper for point-of-care diagnosis of hyperbilirubinemia. ACS Sens. 2019, 4, 1063–1071. [Google Scholar] [CrossRef]
  89. Roda, A.; Michelini, E.; Zangheri, M.; Di Fusco, M.; Calabria, D.; Simoni, P. Smartphone-based biosensors: A critical review and perspectives. TrAC Trends Anal. Chem. 2016, 79, 317–325. [Google Scholar] [CrossRef]
  90. Derikvand, F.; Yin, D.T.; Barrett, R.; Brumer, H. Cellulose-based biosensors for esterase detection. Anal. Chem. 2016, 88, 2989–2993. [Google Scholar] [CrossRef] [PubMed]
  91. Ling, Z.; Xu, F.; Edwards, J.V.; Prevost, N.T.; Nam, S.; Condon, B.D.; French, A.D. Nanocellulose as a colorimetric biosensor for effective and facile detection of human neutrophil elastase. Carbohydr. Polym. 2019, 216, 360–368. [Google Scholar] [CrossRef] [PubMed]
  92. Adler, M.; Sweeney, R.E.; Hamilton, T.A.; Lockridge, O.; Duysen, E.G.; Purcell, A.L.; Deshpande, S.S. Role of acetylcholinesterase on the structure and function of cholinergic synapses: Insights gained from studies on knockout mice. Cell. Mol. Neurobiol. 2011, 31, 909–920. [Google Scholar] [CrossRef] [PubMed]
  93. Wang, L.; Guo, W.; Zhu, H.; He, H.; Wang, S. Preparation and properties of a dual-function cellulose nanofiber-based bionic biosensor for detecting silver ions and acetylcholinesterase. J. Hazard. Mater. 2021, 403, 123921. [Google Scholar] [CrossRef] [PubMed]
  94. Moccia, M.; Caratelli, V.; Cinti, S.; Pede, B.; Avitabile, C.; Saviano, M.; Imbriani, A.L.; Moscone, D.; Arduini, F. Paper-based electrochemical peptide nucleic acid (PNA) biosensor for detection of miRNA-492: A pancreatic ductal adenocarcinoma biomarker. Biosens. Bioelectron. 2020, 165, 112371. [Google Scholar] [CrossRef] [PubMed]
  95. Sun, X.; Wang, H.; Jian, Y.; Lan, F.; Zhang, L.; Liu, H.; Ge, S.; Yu, J. Ultrasensitive microfluidic paper-based electrochemical/visual biosensor based on spherical-like cerium dioxide catalyst for miR-21 detection. Biosens. Bioelectron. 2018, 105, 218–225. [Google Scholar] [CrossRef]
  96. Adrover-Jaume, C.; Alba-Patino, A.; Clemente, A.; Santopolo, G.; Vaquer, A.; Russell, S.M.; Baron, E.; Gonzalez Del Campo, M.D.M.; Ferrer, J.M.; Berman-Riu, M.; et al. Paper biosensors for detecting elevated IL-6 levels in blood and respiratory samples from COVID-19 patients. Sens. Actuators B 2021, 330, 129333. [Google Scholar] [CrossRef]
  97. Demirbakan, B.; Kemal Sezginturk, M. An impedimetric biosensor system based on disposable graphite paper electrodes: Detection of ST2 as a potential biomarker for cardiovascular disease in human serum. Anal. Chim. Acta 2021, 1144, 43–52. [Google Scholar] [CrossRef]
  98. Weng, X.; Ahmed, S.R.; Neethirajan, S. A nanocomposite-based biosensor for bovine haptoglobin on a 3D paper-based analytical device. Sens. Actuators B 2018, 265, 242–248. [Google Scholar] [CrossRef]
  99. Hennekinne, J.A.; De Buyser, M.L.; Dragacci, S. Staphylococcus aureus and its food poisoning toxins: Characterization and outbreak investigation. FEMS Microbiol. Rev. 2012, 36, 815–836. [Google Scholar] [CrossRef] [Green Version]
  100. Akhtar, S.; Sarker, M.R.; Hossain, A. Microbiological food safety: A dilemma of developing societies. Crit. Rev. Microbiol. 2012, 40, 348–359. [Google Scholar] [CrossRef]
  101. Farooq, U.; Ullah, M.W.; Yang, Q.; Aziz, A.; Xu, J.; Zhou, L.; Wang, S. High-density phage particles immobilization in surface-modified bacterial cellulose for ultra-sensitive and selective electrochemical detection of Staphylococcus aureus. Biosens. Bioelectron. 2020, 157, 112163. [Google Scholar] [CrossRef]
  102. Bintsis, T. Foodborne pathogens. AIMS Microbiol. 2017, 3, 529–563. [Google Scholar] [CrossRef] [PubMed]
  103. Liu, F.; Liu, H.; Liao, Y.; Wei, J.; Zhou, X.; Xing, D. Multiplex detection and genotyping of pathogenic bacteria on paper-based biosensor with a novel universal primer mediated asymmetric PCR. Biosens. Bioelectron. 2015, 74, 778–785. [Google Scholar] [CrossRef]
  104. You, S.-M.; Jeong, K.-B.; Luo, K.; Park, J.-S.; Park, J.-W.; Kim, Y.-R. Paper-based colorimetric detection of pathogenic bacteria in food through magnetic separation and enzyme-mediated signal amplification on paper disc. Anal. Chim. Acta 2021, 1151, 338252. [Google Scholar] [CrossRef]
  105. Huang, L.; Xiao, W.; Xu, T.; Chen, H.; Jin, Z.; Zhang, Z.; Song, Q.; Tang, Y. Miniaturized paper-based smartphone biosensor for differential diagnosis of wild-type pseudorabies virus infection versus vaccination immunization. Sens. Actuators B 2021, 327, 128893. [Google Scholar] [CrossRef]
  106. Chandra, P. Electrochemical nanobiosensors for cancer diagnosis. J. Anal. Bioanal. Tech. 2015, 6, e119. [Google Scholar] [CrossRef] [Green Version]
  107. Chandra, P.; Noh, H.-B.; Shim, Y.-B. Cancer cell detection based on the interaction between an anticancer drug and cell membrane components. Chem. Commun. 2013, 49, 1900–1902. [Google Scholar] [CrossRef] [PubMed]
  108. Chandra, P.; Suman, P.; Mukherjee, M.; Kumar, P. HER2 protein biomarker based sensor systems for breast cancer diagnosis. J. Mol. Biomark. Diagn. 2013, 5, e119. [Google Scholar] [CrossRef]
  109. Zhu, Y.; Chandra, P.; Shim, Y.-B. Ultrasensitive and selective electrochemical diagnosis of breast cancer based on hydrazine-AuNP-aptamer bioconjugate. Anal. Chem. 2013, 85, 1058–1064. [Google Scholar] [CrossRef] [PubMed]
  110. Purohit, B.; Kumar, A.; Mahato, K.; Roy, S.; Chandra, P. Cancer cytosensing approaches in miniaturized settings based on advanced nanomaterials and biosensors. In Nanotechnology in Modern Animal Biotechnology; Elsevier: Amsterdam, The Netherlands, 2019; pp. 133–147. [Google Scholar]
  111. Kumar, S.; Umar, M.; Saifi, A.; Kumar, S.; Augustine, S.; Srivastava, S.; Malhotra, B.D. Electrochemical paper based cancer biosensor using iron oxide nanoparticles decorated PEDOT:PSS. Anal. Chim. Acta 2019, 1056, 135–145. [Google Scholar] [CrossRef]
  112. Liang, L.; Su, M.; Li, L.; Lan, F.; Yang, G.; Ge, S.; Yu, J.; Song, X. Aptamer-based fluorescent and visual biosensor for multiplexed monitoring of cancer cells in microfluidic paper-based analytical devices. Sens. Actuators B 2016, 229, 347–354. [Google Scholar] [CrossRef]
  113. Chandra, P.; Zaidi, S.A.; Noh, H.-B.; Shim, Y.-B. Separation and simultaneous detection of anticancer drugs in a microfluidic device with an amperometric biosensor. Biosens. Bioelectron. 2011, 28, 326–332. [Google Scholar] [CrossRef] [PubMed]
  114. Fan, Y.; Shi, S.; Ma, J.; Guo, Y. A paper-based electrochemical immunosensor with reduced graphene oxide/thionine/gold nanoparticles nanocomposites modification for the detection of cancer antigen 125. Biosens. Bioelectron. 2019, 135, 1–7. [Google Scholar] [CrossRef] [PubMed]
  115. Mujahid, A.; Dickert, F.L. Blood group typing: From classical strategies to the application of synthetic antibodies generated by molecular imprinting. Sensors 2015, 16, 51. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  116. Feng, Q.-M.; Liu, Z.; Chen, H.-Y.; Xu, J.-J. Paper-based electrochemiluminescence biosensor for cancer cell detection. Electrochem. Commun. 2014, 49, 88–92. [Google Scholar] [CrossRef]
  117. Rengaraj, S.; Cruz-Izquierdo, Á.; Scott, J.L.; Di Lorenzo, M. Impedimetric paper-based biosensor for the detection of bacterial contamination in water. Sens. Actuators B 2018, 265, 50–58. [Google Scholar] [CrossRef]
  118. Mahapatra, S.; Chandra, P. Clinically practiced and commercially viable nanobio engineered analytical methods for COVID-19 diagnosis. Biosens. Bioelectron. 2020, 165, 112361. [Google Scholar] [CrossRef] [PubMed]
  119. Chandra, P. Miniaturized label-free smartphone assisted electrochemical sensing approach for personalized COVID-19 diagnosis. Sens. Int. 2020, 1, 100019. [Google Scholar] [CrossRef]
  120. Mahapatra, S.; Baranwal, A.; Purohit, B.; Roy, S.; Mahto, S.K.; Chandra, P. Advanced biosensing methodologies for ultrasensitive detection of human coronaviruses. In Diagnostic Strategies for COVID-19 and Other Coronaviruses; Springer: Singapore, 2020; pp. 19–36. [Google Scholar]
  121. Baranwal, A.; Mahapatra, S.; Purohit, B.; Roy, S.; Chandra, P. Insights into novel coronavirus and COVID-19 outbreak. In Diagnostic Strategies for COVID-19 and Other Coronaviruses; Springer: Singapore, 2020; pp. 1–17. [Google Scholar]
  122. Chandra, P.; Roy, S. Diagnostic Strategies for COVID-19 and Other Coronaviruses; Springer: Singapore, 2020. [Google Scholar]
  123. Yakoh, A.; Pimpitak, U.; Rengpipat, S.; Hirankarn, N.; Chailapakul, O.; Chaiyo, S. Paper-based electrochemical biosensor for diagnosing COVID-19: Detection of SARS-CoV-2 antibodies and antigen. Biosens. Bioelectron. 2021, 176, 112912. [Google Scholar] [CrossRef]
  124. Liu, F.; Zhang, C. A novel paper-based microfluidic enhanced chemiluminescence biosensor for facile, reliable and highly-sensitive gene detection of Listeria monocytogenes. Sens. Actuators B 2015, 209, 399–406. [Google Scholar] [CrossRef]
  125. Teengam, P.; Siangproh, W.; Tuantranont, A.; Henry, C.S.; Vilaivan, T.; Chailapakul, O. Electrochemical paper-based peptide nucleic acid biosensor for detecting human papillomavirus. Anal. Chim. Acta 2017, 952, 32–40. [Google Scholar] [CrossRef]
Figure 1. The number of articles published in consequent years in the online database “Scopus” using the keyword “cellulose-based biosensors”.
Figure 1. The number of articles published in consequent years in the online database “Scopus” using the keyword “cellulose-based biosensors”.
Biosensors 11 00168 g001
Figure 2. Biosensors for detection of small-molecule and metal ion. (A) Pictorial representation of poly pyrrole-cellulose nanocrystal (PPy-CNC)-based biosensor for the analysis of glucose and response recorded with a DPV (reproduced with permission from [68]). (B) Representation of the reaction mechanism of cellulose nanocrystal/magnetite glucose biosensor (Reproduced with permission from [55]). (C) Representation of cellulose–SnO2 nanocomposite-based biosensor for the detection of glucose molecule (reproduced with permission from [54]). (D) Pictorial representation of the development of CTAB-NCC/MPA-QDs/Tyr sensor through immobilization of CTAB-NCC/QDs on SPCE (screen-printed carbon electrode) and further with Tyr enzyme for the detection of phenol and response evaluated using DPV (reproduced with permission from [58]). (E) Fabrication scheme of DAC-PDH-based colorimetric sensor through chemical alteration and discriminatory identification of Cu2+ by DAC-PDH within 30 s (reproduced with permission from [69]). (F) Preparation of DAC-Tu selective colorimetric sensor and the identification of Ag+ from aqueous solutions according to color change based on the varying concentrations of Ag+ (reproduced with permission from [70]).
Figure 2. Biosensors for detection of small-molecule and metal ion. (A) Pictorial representation of poly pyrrole-cellulose nanocrystal (PPy-CNC)-based biosensor for the analysis of glucose and response recorded with a DPV (reproduced with permission from [68]). (B) Representation of the reaction mechanism of cellulose nanocrystal/magnetite glucose biosensor (Reproduced with permission from [55]). (C) Representation of cellulose–SnO2 nanocomposite-based biosensor for the detection of glucose molecule (reproduced with permission from [54]). (D) Pictorial representation of the development of CTAB-NCC/MPA-QDs/Tyr sensor through immobilization of CTAB-NCC/QDs on SPCE (screen-printed carbon electrode) and further with Tyr enzyme for the detection of phenol and response evaluated using DPV (reproduced with permission from [58]). (E) Fabrication scheme of DAC-PDH-based colorimetric sensor through chemical alteration and discriminatory identification of Cu2+ by DAC-PDH within 30 s (reproduced with permission from [69]). (F) Preparation of DAC-Tu selective colorimetric sensor and the identification of Ag+ from aqueous solutions according to color change based on the varying concentrations of Ag+ (reproduced with permission from [70]).
Biosensors 11 00168 g002
Figure 3. Biosensors for detection of macromolecules. (A) Fabrication of DNA sensor by immobilization of acpc PNA (D-prolyl-2-aminocyclopentanecarboxylic acid—peptide nucleic acid) through covalent bonding on the cellulose paper and cationic dye Azure A is used for signal detection (reproduced with permission from [83]). (B) Surface tethering of the cellulose-based sensor for the identification of Esterase enzyme by using the flu orogen (reproduced with permission from [90]). (C) Illustration of bilirubin sensor using photoluminescent carbon dot sensing probes (reproduced with permission from [88]). (D) Fabrication pattern of the paper-based biosensor for determination of glycoprotein (reproduced with permission from [87]). (E) Schematic representation of a fabrication and detection method of ALP biosensor (reproduced with permission from [50]).
Figure 3. Biosensors for detection of macromolecules. (A) Fabrication of DNA sensor by immobilization of acpc PNA (D-prolyl-2-aminocyclopentanecarboxylic acid—peptide nucleic acid) through covalent bonding on the cellulose paper and cationic dye Azure A is used for signal detection (reproduced with permission from [83]). (B) Surface tethering of the cellulose-based sensor for the identification of Esterase enzyme by using the flu orogen (reproduced with permission from [90]). (C) Illustration of bilirubin sensor using photoluminescent carbon dot sensing probes (reproduced with permission from [88]). (D) Fabrication pattern of the paper-based biosensor for determination of glycoprotein (reproduced with permission from [87]). (E) Schematic representation of a fabrication and detection method of ALP biosensor (reproduced with permission from [50]).
Biosensors 11 00168 g003
Figure 4. Biosensors for detection of cells. (A) Fabrication scheme of the sensor for identification of S. aureus cells using (B,C) matrix (reproduced with permission from [101]). (B) Pictorial depiction of paper-based ECL biosensor for the sensing of HL-60 cancer cells (reproduced with permission from [116]). (C) Representation of steps involved in electrode surface modification and the bacterial detection by the SPCE (Reproduced with permission from [117]).
Figure 4. Biosensors for detection of cells. (A) Fabrication scheme of the sensor for identification of S. aureus cells using (B,C) matrix (reproduced with permission from [101]). (B) Pictorial depiction of paper-based ECL biosensor for the sensing of HL-60 cancer cells (reproduced with permission from [116]). (C) Representation of steps involved in electrode surface modification and the bacterial detection by the SPCE (Reproduced with permission from [117]).
Biosensors 11 00168 g004
Table 1. List of developed biosensors using cellulose matrix material for the detection of small molecules and metal ions. (NR: not reported).
Table 1. List of developed biosensors using cellulose matrix material for the detection of small molecules and metal ions. (NR: not reported).
Sr. NoAnalyteDetectionSensor ConfigurationResponse TimeReal SampleDetection RangeLimit of DetectionReference
1GlucoseAmperometric, CVGOx immobilized on cellulose paperNRSoda beverages1 to 5 mM0.18 mM[21]
2GlucoseConductometricGOx immobilized on nanocomposite of cellulose–tin oxideNRNR0.5 to 12 mMNR[54]
3GlucoseColorimetricSulphated and non-sulfated cellulose nanocrystal/magnetite filmNRSweat and
saliva
low as 5 mMNR[55]
4GlucoseVoltammetricPolypyrrole-cellulose nanocrystal-based composites with GOxNRNR1.0 to 20 mM(50 ± 10) μM[68]
5GlucoseCyclic
Voltammetry (CV)
Ag@ SiO2-PEG metalloid polymer nanoparticle functionalized with graphene oxideNRUrine, Serum0.1 to 20 mMNR[75]
6PhenolVoltammetricNanocrystalline cellulose CdS QDs tyrosine-based biosensorNRWater5 to 40 μM0.082 μM[58]
7TriethylamineFluorescenceCellulose-based Phen-MDI-CA sensorNRNRNR0.90 μM[60]
8EthylenediamineFluorescenceCellulose-based Phen-MDI-CA sensorNRNRNR0.99 μM[60]
9FluazinamFluorescenceDisulfide quantum dots (MoS2 QDs) cross-linked into cellulose membraneNRFood10 to 800 μM2.26 μM[62]
10Aflatoxin B1AmperometricCarbon nanofibers derived from BC and coupled with AuNPsNRWheat0.05 to 25 ng mL−10.027 ngmL−1[63]
11Phenylalanine (Phe)ColorimetricPaper-based detection of Phe using phenylalanine ammonia-lyase hybrid nanoflowers10 minUrine60 to 2400 μMNR[67]
12H2O2AmperometricGold nanoparticles–bacterial cellulose nanofibers (Au–BC)-based sensor1 sDisinfector0.3 μM to 1.00 mM0.1 μM[76]
13EthanolAmperometricPaper-based sensor modified with CB/PBNPs nanocompositeNRBeerup to 10 mM0.52 mM[77]
14AtrazineOpticalPaper-based algal sensor for nanoencapsulated atrazineNRWater0.5 to 200 nM4 pM[78]
15Cu2+ColorimetricLiquid cellulose biosensor using a facile one-pot process10 sUrine and
serum
NR1.9309 and 1.9154 ppm[69]
16Ag+ColorimetricCellulose modified to DAC-Tu biosensor10 minWaterNR10−6 mol/L[70]
17Zn2+SPR opticalGold thin film modified with a nanocrystalline celluloseNRNRlow as 0.01 ppmNR[73]
18Hg2+FluorescentCells-alginate hydrogel paper-based sensor5 minWastewaterNRNR[74]
19Mn7+FluorescenceNitrogen, aluminium co-doped cellulose-based carbon dots (N/Al-CDs)NRWater0 to 100 μM46.8 nM[79]
20Fe3+FluorescenceNitrogen-doped
carbon dots anchored on BC
10 minNR0.5 to 600 μM84 nM[80]
21CarbonfuranColorimetricWhatman paper used in ULOC device3 minApple0.01–5.00 mg L−10.05 mg Kg−1[81]
22Ochratoxin ACV, EISCellulose nanofibrous matrix labelled with aptamer probeNRCoffee0.002–2 ng mL−10.81 pg mL−1[82]
Table 2. List of developed biosensors using cellulose matrix material for the detection of macromolecules. (NR: not reported).
Table 2. List of developed biosensors using cellulose matrix material for the detection of macromolecules. (NR: not reported).
Sr. NoAnalyteDetectionSensor ConfigurationResponse TimeReal SampleDetection RangeLimit of DetectionReference
1DNAColorimetricAcpc PNA on cellulose paper by DVS conjugationNRHuman leukocyte antigen alleleslow as 200 nmNR[83]
2dsDNACV, EISPaper-based modified electrode sensorNRNR0.2 pg/mL to 5 pg/mL680 fg mL−1[84]
3miRNAVoltammetricPNA-based paper biosensor<1 hSerumup to 100 nm6 nm[94]
4miR-21VoltammetricCerium dioxide—Au@ glucose oxidase paper-based sensorNRSerum0.001 pm to 1 pm0.434 fm[95]
5ALPColorimetricPaper-based naked eye detectionNRMilk10 to 1000 U/mL0.87 (±0.07) U/mL[50]
6EsteraseFluorescenceChemoenzymatic method used for modification of cellulose matrixNRNRNRNR[90]
7Transcription factorColorimetricDopamine coated on the surface of cellulose paper20 sNF-κB p50 in biological fluidsNRNR[85]
8GlycoproteinVoltammetricPaper-based biosensor for glycoprotein based on boronate affinity tagNROvalbumin0.001 ng/mL to 1 μg/mL870 fg/mL[87]
9BilirubinPhotoluminescenceBC nanopaper-based biosensor through embedding of carbon dot sensing probesNRInfant’s blood2 to 20 mg dL−1NR[88]
10Human neutrophil elastase (HNE)ColorimetricImmobilizing HNE peptide to the cotton and wood nanocelluloseNRChronic wound fluidLess than 0.005 U/mLNR[91]
11Acetylcholinesterase (AChE)FluorescenceDNA aptamer immobilized on the surface of cellulose nanofiberNRNRNRNR[93]
12Interleukin-6ColorimetricPaper sensor for IL-6 detection in COVID-19 patients10 minRespiratoryup to 10−1 ng mL−11 fg mL−1[96]
13Suppression of Tumorigenicity 2CV, EISGraphite paper-based disposable sensor through modification of fullerene C60NRSerumas low as 414 ag mL−1124 ag mL−1[97]
14.Bovine haptoglobinColorimetricAuNP/MWCNT-anti-Hpnanobioconjugate paper-based sensorNRSerum0.01 to 0.9 mg/mL28 μg/mL[98]
Table 3. List of developed biosensors using cellulose matrix material for the detection of cells. (NR: not reported).
Table 3. List of developed biosensors using cellulose matrix material for the detection of cells. (NR: not reported).
Sr. NoAnalyteDetectionSensor
Configuration
Response TimeReal SampleDetection RangeLimit of DetectionReference
1Staphylococcus aureusVoltammetricImmobilization of bacteriophage onto BC30 minMilk,
PBS
5 CFU mL−1, 3 CFU mL−1NR[101]
2Staphylococcus aureusOpticalPaper-based biosensor using a primer-based asymmetric PCRNRnuc genelow as 1 pg/μLNR[103]
3Listeria monocytogenesOpticalPaper-based biosensor using a primer-based asymmetric PCRNRHlya genelow as 1 pg/μLNR[103]
4Escherichia coliOpticalPaper-based biosensor using a primer-based asymmetric PCRNRrbfE genelow as 1 pg/μLNR[103]
5Escherichia coliColorimetricPLL@SMPs-based paper sensorNRFoodNR30.8 CFU/mL[104]
6Pseudorabies virusColorimetricLatex beads paper-based sensor using PRV gE-mAb15 minPig serumNRNR[105]
7HL-60 cancer cellElectrochemiluminescenceRu(bpy)2 3+-conjugated silica nanoparticle-basedNRNR56–5.6 × 106 cells/mLNR[116]
8SARS-CoV-2VoltammetricLabel-free paper-based biosensor30 minSerum1 ng/mLNR[123]
9Listeria monocytogenesChemiluminescencePaper-based sensing device with an immobilized DNA probeNRhlyAgene0.194 pmol/L to 19.4 × 103 pmol/L6.3 × 10−2 pmol/L[124]
10PapillomavirusVoltammetricacpcPNA and graphene-polyaniline modified paper-based biosensorNRSiHa cells10 to 200 nM2.3 nM[125]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Divya; Mahapatra, S.; Srivastava, V.R.; Chandra, P. Nanobioengineered Sensing Technologies Based on Cellulose Matrices for Detection of Small Molecules, Macromolecules, and Cells. Biosensors 2021, 11, 168. https://doi.org/10.3390/bios11060168

AMA Style

Divya, Mahapatra S, Srivastava VR, Chandra P. Nanobioengineered Sensing Technologies Based on Cellulose Matrices for Detection of Small Molecules, Macromolecules, and Cells. Biosensors. 2021; 11(6):168. https://doi.org/10.3390/bios11060168

Chicago/Turabian Style

Divya, Supratim Mahapatra, Vinish Ranjan Srivastava, and Pranjal Chandra. 2021. "Nanobioengineered Sensing Technologies Based on Cellulose Matrices for Detection of Small Molecules, Macromolecules, and Cells" Biosensors 11, no. 6: 168. https://doi.org/10.3390/bios11060168

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