Abstract
Contagious diseases are the principal cause of mortality, particularly respiratory viruses, a real menace for public health and economic development worldwide. Therefore, timely diagnosis and treatments are the only life-saving strategy to overcome any epidemic and particularly the ongoing prevailing pandemic COVID-19 caused by SARS-CoV-2. A rapid identification, point of care, portable, highly sensitive, stable, and inexpensive device is needed which is exceptionally satisfied by sensor technology. Consequently, the researchers have directed their attention to employing sensors targeting multiple analyses of pathogenic detections across the world. Nanostructured materials (nanoparticles, nanowires, nanobundles, etc.), owing to their unique characteristics such as large surface-to-volume ratio and nanoscale interactions, are widely employed to fabricate facile sensors to meet all the immediate emerging challenges and threats. This review is anticipated to foster researchers in developing advanced nanomaterials-based sensors for the increasing number of COVID-19 cases across the globe. The mechanism of respiratory viral detection by nanomaterials-based sensors has been reported. Moreover, the advantages, disadvantages, and their comparison with conventional sensors are summarized. Furthermore, we have highlighted the challenges and future potential of these sensors for achieving efficient and rapid detection.
Keywords: Nanomaterials, respiratory viral detection, SARS-CoV-2, types of sensors
I. Introduction
Viruses are a severe threat to living things on earth, so timely detection for clinical point-of-care purposes [1] is significant in saving someone’s life, as a slight delay can be very detrimental. The respiratory mucosa is the most susceptible site for respiratory viruses, well recognized as influenza virus and coronavirus or severe acute respiratory syndrome (SARS) and some others [2]–[4], typically causing respiratory viral infections that are transmitted through direct contact or air (Fig. 1) [5]. The most prominent symptoms of infected individuals are fever, loss of smell, dry cough, fatigue, and sputum production leading to acute respiratory morbidities. Viral infections can be transmitted via contaminated food, water, and bodily fluids, endangering both the lives of humans’ and animals’ worldwide [6], [7]. From the upper respiratory tract, the respiratory pathogens progress down the lower respiratory tract, causing severe pneumonia and ultimately leading to the deaths of around 3 million individuals every year [8]. However, it seems like any ordinary mild cold, but in the past 20 years, we have witnessed severe outbreaks from these acute respiratory viruses to the points of epidemics [9]–[13]. At the start of December 2019, the outbreak of the novel, highly lethal COVID-19 was first recognized in Wuhan, Hubei province in China [14]. Due to the rapid expansion of SARS-CoV-2 worldwide, the World Health Organization (WHO) declared the outbreak as a pandemic on 11th March 2020 [15]–[17]. Infections with SARS-CoV-2 are now widespread, and as of 23rd March 2021, 123,216,178 infected cases, with 2,714,517 deaths, have been confirmed by WHO. As of 20th March 2021, a total of 397,950,709 vaccine doses have been administered. The most vulnerable to this disease are individuals with weak immunity and comorbidities or those already suffering from other underlying illnesses such as heart disease, diabetes, etc. Safety measures such as face masks, sanitizers, and other immunity enhancers are strongly recommended [18].
Fig. 1.

Some common respiratory diseases caused by respiratory viruses.
Viral infections can be detected by various lab-based conventional techniques encircling virus cultures and serological tests followed by Polymerase Chain Reaction (PCR) [19], Reverse Transcription-Polymerase Chain Reaction (RT–PCR) [20], western blotting and antibody detection, Fluorescent Antibody Tests (FAT), antigen or antibody detection and hemagglutination assay and gene sequencing [21], [22], isothermal amplification techniques [23] and immunochromatography (IC) [24]. These classical detecting techniques, especially PCR, have helped physicians identify the causative agents. However, sample preparation, high cost, time-consuming, labor-intensive, and less accurate detections have limited their reliability [25]. Test kits for virus detection (Covid-19) are based on RNAs following PCR. These procedures rely on the interaction between the complementary detection ligands or strands in the equipment and their surfaces [26]. As mentioned earlier, these test kits are unreliable and require lengthy processing times to provide inaccurate results [16]. Therefore, it is essential to develop a more precise, fast, simple, portable, and sophisticated testing platforms to diagnose threatening respiratory viruses [7], [27]–[29].
Nanomaterial-based techniques have emerged as promising candidates proving significant improvement in detection devices called nano-sensors [26], [30], and currently, various sensor technologies are explored to detect viruses [30]–[33]. The sensors operated by the combination of interacting recognition elements with the sensing system, thus identifying the target with great accuracy and sensitivity [34]. The exceptional conductivity and photoelectrochemical properties, portability, and simplicity of nanomaterials are exploited for the enhanced efficiency and sensitivity of nano-sensors to diagnose respiratory viruses [35]–[37]. The prominent challenge researchers face developing ultra-sensitive, rapid, and stable nano-sensors is by enhancing the nanomaterials’ surface area, thus providing significant surface interactions to analytes and sensors [38] and exploiting it as indicators in sensors [39]. The nano-sensors can detect bacteria and viruses at low concentrations, thus making them the best choice for diagnostic purposes [40].
The purpose of this review is to address the different types of nanomaterial-based sensors explored recently, encompassing the latest information summarized in separate tables for respiratory virus diagnosis published in the past five years. Furthermore, this review paper extensively discusses the physical structure and principle of virus detection, antibody-antigen interactions, sensation, and mechanism of nanomaterial-based sensors, followed by their advantages and limitations for respiratory viral detections. A comparison of nanomaterial-based sensors with conventional classical techniques is also mentioned. Finally, future challenges and perspectives of nanomaterial-based viral sensors and a brief conclusion are presented to summarize the full review. It is always helpful to overview already accessible literature to explore and develop new and more advanced techniques for the diagnostics and treatments of new viruses. Consequently, it is anticipated that this review regarding respiratory viruses will illuminate the researchers with the latest knowledge that will help develop unique, sensitive, and highly stable nano-sensors for fast diagnosis of COVID-19 patients.
II. Types of Sensors for Respiratory Viral Detection
To prevent and control any future pandemics due to respiratory viruses, we must have quick and reliable detection methods. This can be achieved using inexpensive, sensitive sensors that give rapid and accurate results. Such sensors will help us better control the diagnosis and treatment of the existing and future respiratory virus infections. Any sensor platform is influenced by three major factors: (1) the target analyte which has to be identified, (2) the process of identification used, and (3) the amplification of those signals produced during the identification process so that they can quickly be recorded. Hence, ideal sensors for detection of respiratory viruses must have the ability to give reproducible results, is autonomous in use, give immediate results, have superior sensitivity and selectivity, can detect multiple analytes simultaneously, possess many sensing modes, is inexpensive, have a long life, is user-friendly, and can be disposed of easily without any harm to the environment. Four such respiratory viral detection sensors have been utilized in recent years. These include nanomaterial-based sensors, electrochemical sensors, optical sensors, and piezoelectric sensors.
A. Nanomaterials-Based Sensors
Rapid viral diagnostics is essential to overcome the current pandemic and prevent future ones. Functionalization of nanomaterials using nucleic acids or proteins like antibodies is the standard method used for viral detection. These detections are carried out using colorimetric assays, thermal photo platforms, and antigen-binding assays, among others. The commonly available testing kits for viral infections operate on enzyme-linked immunosorbent assays or PCRs [41]. These testing kits have been shown to have false-negative results, low sensitivity, and usually take long durations to give results [16]. Nanomaterials, on the contrary, are known to lower these drawbacks. Having a high surface-to-volume ratio allows nanoparticles to have better surface interactions between the sensor and the biomolecule to be analyzed. This makes nanomaterial-based sensors a better candidate for rapid and dependable detection of viral particles [26]. Many nanomaterials with transducing functions have been studied in recent decades, and several matrices for different sensors have been developed [42]. Nanomaterials like graphene, quantum dots, gold and silver nanoparticles have been explored to create sensors to detect viral particles. There have been several nanosensors developed and reported in the literature over the last decade – each of them employing a unique nanomaterial to increase its sensitivity and selectivity to give a rapid response rate during viral detection (Fig. 2).
Fig. 2.

Schematic diagram of nanomaterial-based sensor for respiratory virus detection consisting of (a) biomarkers, which are usually virus particles, (b) receptors, which are either composed of nucleic acids, proteins, antibodies, antigens, or aptamers, (c) nanomaterial that is attached to the electrode of the sensor, (d) the transducer that detects the signals produced by the interaction between the analyte and the bioreceptor, (e) the electronic system that translates the signal produced in the transducer into a readable electrical signal.
Apart from these, noble metal nanomaterials have also been explored to detect viral particles using sensors. These nanomaterials have also been shown to increase the specificity and sensitivity of the sensing systems. Hence, the fabrication of sensors with nanomaterials has significantly improved the sensing capabilities of these devices [43]. Nanoscale devices exhibit efficient functionality with unique effects compared to standard devices and play a central role in eliminating errors in viral detection methods. Nano-sensors can be used on a large scale for disease diagnosis and biomolecule detection due to bio-elements and transducer interactions. Various nanomaterials, such as nanorods, nanotubes, nanowires, thin films, and nanoparticles, are being used in biomedical applications because of their mechanical and electrical characteristics [44]. Many recent researches on various nanomaterial-based sensors have been discussed in Table I.
TABLE I. Electrode Materials for the Respiratory Viral Detection.
| Sensor method | Electrode materials | Virus | Recognition element | Linear range | LOD | Time | References |
|---|---|---|---|---|---|---|---|
| EIS | shellac-derived TrGO/ITO/glass | Influenza virus H1N1 | Anti-Influenza A Ab | – | PBS: 26.04 PFU/mL Saliva: 33.11 PFU/mL | – | [56] |
| EIS | Au- paper electrode | H1N1 Antigen | Anti-influenza A HA Ab | – | < 5 PFU mL−1 | ~6 min | [57] |
| EIS CV | Cysteine modified Au-screen electrode | H1N1 | HA gene specific ssDNA probe | 0.1 ng – 400 ng/
|
0.004 ng in
|
30 min | [58] |
| EIS | nanocrystalline boron-doped diamond | Influenza Virus M1 protein H1N1, H3N2 | Polyclonal aM1 Ab | – |
g/mL |
6 min | [59] |
| EIS | Nano-scale BDD sensor | Influenza A M1 protein | anti-M1Ab, | 1 to 100 fgmL−1 | 1 fg/mL | 5 min | [60] |
| EIS | Au electrode | inactivated intact H1N1virus | DNA aptamers | – | 0.3ng/
|
– | [61] |
| EIS | AuSPE/Gr/Au hybrid nanocomposite | Influenza A H9N2 | Feutin A | 10−8 U/mL-10−1 U/mL | 10−8U/mL | – | [62] |
| CV | Fe3O4 MNPs | AIV H5N1 | Specific Anti-H5N1 Ab | 0.0025 - 0.16 HAU | 0.0022 HAU in
|
– | [63] |
| CV | AuNPs | H5N1 | DNA probe | 1pM - 100 nM | 1 pM | – | [64] |
| CV | Dual electrode of tungsten rods modified with 3DNRE porous silica film | AIV | anti-AIV NP aptamer | 2 to 12 nM | 1.13 nM | – | [65] |
| DPV | Hydrophobic SiNPs on paper | Influenza H1N1 antigen, Ab | Immobilized antibodies | 10 to 104 PFU mL−1 | 113 PFU mL−1 | 30 min | [66] |
| DPV | modified ITO/glass electrodes | H1N1 mini-HA protein | ssDNA aptamer | 101 PFU mL−1 – 104 PFU mL−1 | 3.7 PFU mL−1 | – | [67] |
| CV DPV | FTO/AuNPs sensor | SARS-CoV-2 | immobilized with nCovid-19Ab | 1 fM –
|
10 fM at nCovid-19Ag | 10 - 30 s | [68] |
| CA | AuNPs | influenza virus A/H9N2 | anti-Matrix protein 2 (M2) Ab and Feutin A | 8 – 128 HAU | 8 HAU | 160 s | [69] |
| CA | RGO nanosheets | Human Influenza A H1N1 | monoclonal antibodies | 1 – 104 PFU mL−1 | 0.5 PFU mL−1, | – | [70] |
| BERA | Membrane-Engineered Vero Cells (Vero/Anti-S1) | SARS-CoV-2 S1 Protein Antigen | spike S1 Ab | 10 fg –
/mL |
1 fg/mL | 3 min | [71] |
| Fluoroimmunoassay | gCNQDs/MP-MoO3QDs | influenza virus A (H3N2) RNA | Ab-(H3N2) | 45– 25,000 PFU/mL | 45 PFU/mL | – | [72] |
| Fluoroimmunoassay | S-gCNQDs/Ag2S nanocrystals | influenza A virus (H1N1) (H3N2) | monoclonal Ab | 10 fg/mL– 1ng/mL 102 –
PFU/mL |
5.5 fg/mL 100 PFU/mL | ~ 15 min | [73] |
| FET | Graphene Sheet | spike protein in SARS-CoV-2 | SARS-CoV-2 spike Ab | – | cultured medium:
pfu/mL clinical samples:
copies/mL |
– | [53] |
| FET | rGO transistor | H5N1 | Immobilized DNA probe | 10 pM – 100 nM | 5 pM | 1 h | [74] |
| FET | Cu/Au/SiO2 | AIV H5N1 | Immobilized DNA aptamer | 10 pM – 10 nM | 5.9 pM | – | [75] |
| Gr-FET | Gr synthesized on single crystal Cu+3 | coronavirus | CSAb/ACE2 | < 0.1 pM | 0.2 pM | 2 min | [76] |
| Amperometry | 3,4- EDOT PSS thin film | influenza A virus | HA protein | – | 0.025 HAU | – | [77] |
| Amperometry | Co-TNTs | spike glycoprotein SARS-CoV-2 | anti-His monoclonal Ab | 14 – 1400 nM | ~0.7 nM | ~30 s | [78] |
| SWV | AuNPs on CE | MERS-CoV HCoV | Anti-recombinant spike protein Ab | MERS-CoV: 0.001 – 100 ng.mL−1 HCoV: 0.01– 10,000 ng.mL−1 | MERS-CoV 1.0 pg/mL HCoV 0.4 pg/mL | 20 min | [50] |
| OSWV | Au-electrodes | H5N1 | immobilization of ss-amino-DNA probe |
–
|
3 copies/
|
– | [79] |
| DPV EIS | AuNPs | Corona virus viral RNA/c-DNA | immobilized capture probe | – | – | – | [80] |
| Optical Silica Inverse Opal | SiO2-IO nanostructures | HA protein in influenza A (H1N1) | (H1N1) virus capture Ab (HA-1) | 103–105 PFU | – | – | [86] |
| LSPR; colorimetric assay | AuNPs | MERS-CoV | thiol-modified probes | – | 1 pmol/
|
– | [87] |
| IM-SPR | Bimetallic silver–gold | HA protein in H7N9 virus | monoclonal Ab |
to
copies/mL |
402 copies/mL | < 10 min | [88] |
| SPR | Au | influenza A (H5N1) | H5N1 virus protein | – | 193.3 ng mL−1 | – | [33] |
| LSPR/FL-LSPR | AuNP | influenza virus H3N2 | – | – | 0.4 pg/mL 10 PFU/mL | ~5 min | [89] |
| LSPR | hAuSN immobilized on ITO | AIV H5N1 | DNA 3 way-Junction (3WJ) | – | 1 pM | – | [90] |
| fluorescence assay | DNA triplex assembly | avian influenza A (H7N9) | berberine | 0.2–100 nM | 0.14 nM | – | [91] |
| colorimetric assay | AuNPs | SARS-CoV-2 | antisense oligonucleotides | 0.2–3 ng/
|
0.18 ng/
|
10 min | [92] |
| lateral flow immune assay | AuNP colloids | SARS-Cov-2 | COVID-19 recombinant antigen | – | – | 15 min | [93] |
| CRISPR-based assay | CRISPR-based fluorescent sensor | SARS-CoV-2 | Cas12a/gRNA complex | – | 2 copies per sample | ~50 min | [94] |
| PPT effect/LSPR | gold nanoislands (AuNIs) | SARS-CoV-2 | complementary DNA receptors | – | 0.22 pM | – | [95] |
| colorimetric assay | silver nanoparticles (AgNPs) | MERS-CoV | pyrrolidinyl peptide nucleic acid (acpcPNA) | – | 1.53 nM | – | [83] |
| P-FAB | AuNPs based on the U-bent optical fiber sensor system | Target Nucleocapsid protein N-protein | anti-N protein monoclonal antibodies | – | 10–18 M | 15 min | [96] |
| EWA LSPR | AuNPs or polyaniline-coated optical fibers | specific surface proteins SARS-CoV-2 | antibodies for unique S1 subunit of the S protein | – | 37 pM | – | [97] |
| Piezoelectric – SPM | Lead zirconate titanate piezoelectric disk | H5N3 |
SL-PAA polymer/H5N3 surface glycoprotein |
10.05 – 10.07 vp/mL | 10.05 vp/mL | – | [100] |
| Piezoelectric immunosensor | SAM of mercaptoundecanoic acid (MUA) | Aerosolized influenza A (H3N2) Virions | Polyclonal anti-influenza A (H3N2) antibodies | 0.02 - 3 HAU | 29.6 ng/mL | – | [103] |
| Piezoelectric Immunosensor | Horse polyclonal antibody against SARS-CoV attached to PZ crystal surface | SARS-associated coronavirus (SARS-CoV) | SARS antigen | 0.6 - 4
/mL |
– | – | [104] |
| Quartz crystal microbalance (QCM) based piezoelectric sensor | Gold surface of the crystal | African swine fever virus | Protein p12 | 4.6 - 300
/mL |
– | – | [105] |
EIS — Electrochemical Impedance spectroscopy, SiNPs — Silica Nanoparticles, CV — Cyclic Voltammetry, CA — Chronoamperomtery, DPV — Differential Pulse Voltammetry, FET — Field-Effect Transistor, Gr-FET — Graphene Field-Effect Transistor, BERA — Bioelectric Recognition Assay, OSWV — Osteryoung Square Wave Voltammetry, SWV — Squarewave Voltammetry, PBS — Phosphate-buffered Saline, S-gCNQDs — Sulfur-doped Graphitic Carbon Nitride Quantum Dots, MNPs — Magnetic Nanoparticles, BDD — Boron Doped Diamond, Ab — Antibody, CSAb — Spike S1 Subunit Protein Antibody, Co-TNTs — Cobalt-functionalized TiO2 Nanotubes, aM1 Ab — Anti-M1 Antibodies, NP — NucleoProtein, rGO — Reduced Graphene Oxide, CE — carbon electrode, AIV — Avian Influenza Virus, EDOT — Ethylenedioxythiophene, HA — Hemagglutinin, ss — single stranded, 3DNRE — 3D Nanostructured, ITO — Indium Tin Oxide, nCovid-19Ab — nCovid-19 monoclonal antibody, FTO — Fluorine-doped Tin Oxide electrode, AuNPs — Gold Nanoparticle, TrGO — Thermally-decomposed rGO, MP-MoO3QDs — Plasmonic Molybdenum Trioxide Quantum Dots, gCNQDs — graphitic Carbon Nitride Quantum Dots, AuSPE — Gold Screen Printed Electrode LSPR — Localized Surface Plasmon Resonance, IM-SPR — Intensity-Modulated Surface Plasmon Resonance, FL-LSPR — Induced Immunofluorescence, PBS — Phosphate-buffered Saline, SiO2-IO — SiO2-based Inverse Opal, hAuSN — hollow Au Spike-like Nanoparticle, ITO — Indium-Tin-Oxide, AuNIs — Gold Nanoislands, PPT — Plasmonic Photothermal, P-FAB — Plasmoni Fiber Optic Sensor, EWA — Evanescent Wave Absorbance
B. Electrochemical Sensors
Electrochemical sensors record the changes in uniformity of the charge on the surface of transducers. These changes are recorded depending on the impedimetric [45], [46], potentiometric, or amperometric [47], [48] principles of transducers [49]. According to most published literature present, these sensors are most commonly used for the detection of influenza viruses. Another study to develop a nano-immunosensor to detect MERS-CoV was done by Layqah and coworkers [50]. The biomarker targeted using this sensor was the spike protein S1, most commonly targeted by antibodies [51]. The sensor was based on the relation between the free virus present in the given sample and the spike protein S1. The sensor used carbon electrodes that were functionalized using AuNPs that increased the electrochemical function of the sensor and provided a wider area for the biomarker detection using the sensor. Moreover, the sensor was shown to have a better transfer rate. This immunosensor provided an excellent linear range of detection of 0.001 and 100 ng/mL for the MERS virus and displayed an enhanced sensitivity of 0.4 pg/mL. Based on AuNP particles, this sensor showed a very high sensitivity compared to the conventional ELISA method of virus detection [52]. This sensor stood out by its ability to detect two different viruses simultaneously – the MERS-CoV and HCoV on the same electrode surface and was electrochemically active for long durations.
In another study, Seo and colleagues developed a graphene-based sensor that could detect SARS-CoV-2 viral particles from nasopharyngeal swabs of coronavirus patients. In this FET-based sensor, a graphene sheet was used that was attached to a SiO2/Si substrate. This was further functionalized with the SARS-CoV-2 spike antibody. The viral particles could be detected using this sensor even at very low concentrations of 1 fg/mL [53]. The detection limit was found to be 100 fg/mL. Furthermore, this sensor was found to be highly selective to SARS-CoV-2 alone and showed no response to MERS-CoV spike proteins.
Electrochemical sensors that use nucleic acids as their target analyte, allow for easy binding of the DNA or RNA on the sensor’s surface. When the specific binding occurs between the two, the electrode’s surface experiences a change – which is then recorded using electrochemical methods. These electrochemical signals produced are a consequence of the transfer of electrons between the probe and electrode. Aptamers, hairpin DNA, locked and peptide nucleic acids are the most widely used probes in electrochemical sensors [54]. Of these, aptamers have gained more attention, owing to their high selectivity for the target analytes. They target proteins, DNA or RNA, and other chemical molecules, alike. Hence, electrochemical sensors have shown to be very stable, highly specific, and can be easily miniaturized [55]. Table I illustrates the various options of electrochemical sensors for detection of virus particles.
C. Optical Sensors
Optical sensors are also essential tools in detecting multiple analytes simultaneously. Such sensors analyze the changes in optical properties of transducers during the exchange between the target molecule and the recognition element [81], [82]. The application of optical sensors to detect virus particles was seen in the work put forward by Teengam and colleagues [83]. The authors developed a unique optical sensor that could detect MERS particles. The experiment results could be seen by the naked eye and did not use any complex experimental gadgets. It was a paper-based colorimetric sensor that noted the response of aggregation or de-aggregation of silver nanoparticles with viral DNA molecules. This reaction occurred in the presence of pyrrolidinyl peptide nucleic acid. Another good instance of optic sensor for respiratory virus detection was the work carried out by Ostroff and colleagues. They are the only group that put forward a sensor to detect human rhinovirus using optical sensors [84]. They used an optically coated silicon surface functionalized by virus antibodies. The sensor was shown to give the results under 30 minutes and showed a good sensitivity range. Hence, these sensors enhance sensitivity and increased efficiency. Optical-based techniques like Surface Plasmon Resonance (SPR) [46], Surface-Enhanced Raman Scattering (SERS) [85] are also used to detect virus particles. Table I demonstrates the various optical detection techniques for respiratory viruses (Influenza Virus, SARS-CoV-2).
D. Piezoelectric Sensors
Piezoelectric sensors function in the presence of an applied alternating electric field. The transducers in such sensors resonate under such conditions. They measure the difference in the resonating frequency, which occurs because of crystal mass and the attached target analyte. When the target analyte binds to the sensor’s surface, a change in the mass occurs, which is recorded. These sensors are widely used to detect various target molecules within biological systems [55], [98], [99]. The use of this sensor for the detection of the H5N3 virus is seen in the work done by Erofeev et al. [100]. The duo developed a piezoelectric sensor using a lead zirconate titanate piezoelectric disk and successfully performed a label-free detection of the influenza virus. In another study, it was observed that a piezoelectric sensor coated with aptamer could detect the SCV helicase protein derived from the SARS CoV [101]. The sensor could perform the detection in a minute and showed a LOD of 3.5 ng/mL.
Piezoelectric nanosensors also monitor the changes in viscoelasticity by noting the frequency, which affects the quartz crystal resonator [102]. During the sensing activity by such sensors, isolation equipments are used to avoid any hindrance caused by the external environment. Table I discusses the comparison of different piezoelectric detection techniques for respiratory viruses.
III. Physical Structure of the Sensors and the Virus Detection Principles
A sensor that can detect virus functions like any other analytical device and possesses three significant parts: a bioreceptor that senses the analyte, a transducer, and the detector that gives the digital result. The interaction between the target biomolecule and the bioreceptor results in either a physical or a chemical reaction between them [106], [107]. The transducer then converts the changes in molecules into a detectable signal that can be quantified or measured with the help of a digital detector [108]. The transduction process can be based on either the following sensors: electrochemical, immuno, thermal, optical, magnetic, piezoelectric. Each of these types determines the principles based on which the sensor functions [109]. The use of nanomaterials increases the overall sensitivity and selectivity of the sensor by enhancing the overall fabrication quality of the sensor. This can be better understood as depicted in Fig. 3, which discusses the attack by a respiratory virus (like the respiratory syncytial virus), its life cycle, physical structure of a nanomaterial-based sensor and its mechanism of sensing.
Fig. 3.

(a) The structure of Respiratory Syncytial Virus (RSV). Reproduced from ref [110] Copyright © 2013 Swapnil Subhash Bawage et al. (b) After the onset of RSV attack, the lungs and the respiratory tracts gets severely infected. (c) The life cycle of RSV within the lung system. Reproduced from ref [110] Copyright © 2013 Swapnil Subhash Bawage et al. (d) Materials science, like the sensor technology has contributed towards easy identification of the virus particles. (e) When an interaction occurs between the analyte (virus particle) and the respective bioreceptor, the transducer undergoes changes and signals the presence of virus infection (f) When the presence of infection is confirmed by the sensor, vaccine and treatment development and delivery are made available to the infected individual.
IV. Antibody Orientation and Bonding Approach
The nanomaterial-based immunosensors are used for the detection of viral particles. The function of these sensors is affected by one or more of the following conditions: the affinity of antigens, the orientation and accessibility of the binding sites upon immobilization, and the total number of binding sites available on the surface of the sensor. The strategies based on which the immobilization occurs may differ, giving varying results and efficiencies. These also affect the orientation to which the attached antibodies adapt. For instance, when antibodies take a ‘flat-on’ orientation then the adsorption method is used for antibody immobilization [111]. This antibody orientation can become an obstacle for the antigens to approach antibody binding sites (Fig. 4). This, therefore, causes a lowering of antigen-binding capacity [112]. However, achieving a 100% specific orientation is not possible. This can be attributed to site-specific changes when antigen binds to the sensor and results in attachment of other reactive groups. Such immobilization strategies are also influenced by the kind of nanomaterial used and should be compatible with the target analytes to avoid the reduction in specific orientations.
Fig. 5.
Mechanism of sensing of nanomaterials-based sensors for respiratory viral detection.
Fig. 4.

The essential components of immunosensors with enzyme labels. An immunosensor is made up of the following elements: (a) nanomaterial functionalized electrode (b) the primary antibody, which at one end is attached to the electrode surface and the other binds to the target antigen, (c) the target antigen is linked to the secondary antibody, (d) the secondary antibody at the other end is labeled with an appropriate enzyme, (e) the enzyme undergoes changes that are recorded on the transducer.
V. Sensing and Measurement Mechanisms
Increasing the conductivity of the sensors influences their sensitivity and limit of detection. Nanomaterials contribute towards aiding the sensing and measurement mechanisms of the sensor. There are many different sensing mechanisms on which sensors operate during virus detection. SPR being an optical technique, has significantly contributed to the processing of immunoassays. Such sensors can simultaneously analyze multiple biomolecules and perform real-time monitoring of various analytes having or devoid of labels [113]. Their sensing happens when a thin layer of metal is layered on a dielectric waveguide, and data is used after reflecting p-polarized light. On the contrary, total internal reflection ellipsometry makes use of the reflecting s-polarized light [114], [115].
There exist other sensing mechanisms like the alternating current electrokinetics capacitative sensing method. This method performs rapid sensing within one step and does not need any washing step [116]. The interfacial capacitance between the electrode and the sample is considered to measure the target analyte amount present on the electrode surface. Based on this data, the detection protocol is developed. Such sensors have been explored in recent years for virus detection [117], [118]. However, these studies have been based on bulk capacitance and are highly influenced by the matrix effect.
VI. Mechanism of Sensing of Nanomaterials-Based Sensors for Respiratory Viral Detection
During virus detection using nanomaterial-based sensors, three basic steps occur, each linked with explicitly with the previous step. First, the target molecule is recognized by a fixed set(s) of biorecognition components. Interactions between the two occur by either covalent or non-covalent interactions. Second, any chemical change recorded by the transducer of the sensor is transferred to the detector. Finally, the detector displays the results in digital signals on a digital screen [55]. Many transducers are used during the detection, like carbon or gold electrode systems, screen printed electrodes and others. In nanomaterial-based sensors, the transducers use electrodes embedded with nanoparticles or a nanomaterial that increases the specificity with which the bioreceptor interacts with the target biomolecule during the detection process. Also, they enhance the overall sensitivity and reproducibility of the sensor.
Among the kind of sensors used, nanomaterial-based electrochemical sensors have gained wider attention because of their ability to rapidly carry out the sensing mechanism and recognize the target molecule within a very short duration. Such sensors are based on the direct generation of electrical signals within a short period [119]. Furthermore, most electrochemical sensors can perform label-free detection of analytes that permits the development of point of care devices [120].
VII. Advantages and Disadvantages of Nanomaterials-Based Sensors for Respiratory Viral Detection
As discussed previously, many studies support the superiority of nanomaterial-based sensors over the others due to their unmatched physicochemical properties like the prominent surface to volume ratio, high adsorption, the changes in their quantum aspects and their capacity to react. Hence, a lower quantity of analytes is more than sufficient for their successful analysis. Furthermore, rapid processing of the analyte within a lower budget is possible using such sensors [121]. Even carbon-based nanomaterials like graphene and its derivatives are an excellent choice to develop sensors that can detect respiratory viruses because of their ability to attach to ligands and other nanoparticles [26]. Other nanomaterials like silica nanoparticles are also advantageous in creating sensors to detect viruses because they are biocompatible with other elements in biological conditions. Moreover, nanoporous materials have an even better surface to volume ratio which is gives them an upper hand over the other nanoparticles that are currently available [26].
Though nanomaterial-based sensors have attracted the attention of researchers globally, they still have a few downsides such as low sensitivity as compared to conventional methods like RT-PCR assays. Many electrochemical sensors have also been shown to have lower shelf-life than conventional sensors [76]. Moreover, nanomaterial-based sensors are sensitive to sample matrix effects too [122].
VIII. Comparison of Nanomaterials-Based Sensors With Conventional Sensors for Respiratory Viral Detection
Apart from the recent nanomaterial-based sensors, traditional methods like cell-culture and colony counting techniques, electron microscopy, immunological assays, PCR, ELISA, nucleic acid-based detection, and others have also been popularly used to detect respiratory viral particles. However, detecting the analyte via these methods requires an additional sample processing step. Samples like nasal swabs are collected and put through sample enrichment processes, only after which the detection assays are carried out. This step is crucial because it increases the efficiency of the sensing process and also reduces the time taken to detect the analyte. Besides being time-consuming, these processes are often meticulous and are prone to errors.
On the contrary, nanomaterial-based sensors allow for direct determination of the analyte without the requirement of any processing steps [123]. The use of conventional sensors is limited because they cannot be used under the banner of ‘point of care techniques’ and fail to produce real-time analyses. An ideal sensor should have: an online sampler that can sample the analyte, a quick system and analyzes the given sample, a completely automatic operation, less processing steps, and elements that enhance the overall sensitivity and specificity of the sensors. This is where nanomaterials play a fundamental role. They can provide high efficiency and improve the overall quality of the sensors. Usage of such nanomaterial-based sensors will reduce the detection time and encourage in real-time analysis.
IX. Conclusion and Future Prospective
Highly sensitive sensors can be successfully developed using nanomaterials, such that they give rapid results which are highly reproducible. In addition to being highly sensitive, nanomaterial-based FET sensors are also highly selective and can detect the analyte in low concentrations. Nanomaterials like graphene and In2O3 have been incorporated in the open gated areas of FET to detect respiratory viruses [124]. Elements like gold nanoparticles and their nanoislands have also been successfully included in immunosensors to detect viruses like MERS and COVID-19 under pico and femto concentration ranges [95], [125]. Furthermore, using nanomaterials in sensor development allows for their miniaturization and reduces their overall production cost. Affinity sensors can be easily created using multiple nanomaterials within the same sensor. Such sensors usually have many electrodes within the same system, which allows for simultaneous detection. Hence, such nanomaterial-based sensors can be created as small point-of-care devices that hold practical applications, are user-friendly, and do not require trained professionals to detect respiratory viral pathogens.
Moreover, certain aspects of such sensors still need further attention. More work needs to be done to determine the accuracy of the results of nanomaterial-based sensors that can detect actual samples in real-time under natural conditions. Most of the work is usually carried out under laboratory conditions, and hence whether or not they may give similar results even outside the laboratory conditions must be cross-checked. Furthermore, wearable biosensing devices can be created using nanomaterials that offer statistical information like the development of virus within the body, the antibody levels, and compare the respiratory virus infection within the community. This will be particularly useful for uninfected individuals to avoid such areas to prevent further spreading of the disease to neighboring regions. Moreover, such innovative nanomaterial-based sensors can help predict the next pandemic to a large degree. In conclusion, nanomaterial-based sensors can prove to be very promising for the detection of respiratory viral particles. Yet, further work is required to make these user-friendly and provide quick, accurate and early detection of the viruses to prevent any other respiratory virus outbreaks.
X. Abbreviations
| Abbreviated form | Full form |
|---|---|
| SARS | Severe acute respiratory syndrome |
| WHO | World Health Organization |
| PCR | Polymerase Chain Reaction |
| RT-PCR | Reverse Transcription-Polymerase Chain Reaction |
| FAT | Fluorescent Antibody Test |
| RSV | Respiratory Syncytial Virus |
Acknowledgment
The authors are highly thankful to the Khalifa University, United Arab Emirates for supporting this work.
Declaration
Availability of Data and Material: All data is given in the manuscript.
Funding: NA.
Conflict of Interest: There is no conflict of interest among the authors.
Biographies

Gowhar A. Naikoo received the Ph.D. degree in synthesis and characterization of nanoporous materials of some metals using surfactants from Dr. Hari Singh Gour University (A Central University) Sagar, India, under the supervision of Prof. Farid Khan (A Common Wealth Academic Staff Award Fellow—U.K.). He has worked as a Visiting Scientist with the Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bengaluru, India, under the supervision of Prof. C. N. R. Rao. He is an Assistant Professor of Chemistry with the Department of Mathematics and Sciences, College of Arts and Applied Sciences, Dhofar University, Oman. He is a Principle Investigator of two research projects granted by TRC, Oman, in 2019, and DURG, Dhofar University, in 2020. He has published more than 40 research articles in peer reviewed reputed journals. He is a Fellow of the Higher Education Academy (FHEA), U.K. He has been credited with Senior Research Fellow Award (SRF) in 2015, by the Council of Scientific Industrial Research (CSIR), India. He has been awarded the Best Faculty Award in December 2019, based on his marvelous performance in teaching and learning, research and scholarly activities, and community services at Dhofar University. He has delivered many plenary, keynote, and invited talks at international and national conferences.

Tasbiha Awan received the master’s degree in chemistry from the University of the Punjab, Pakistan, in 2018. She is currently working as a Research Assistant in TRC Project with Dhofar University, Salalah, Oman, under the supervision of Dr. Gowhar Ahmad Naikoo.

Israr Ul Hassan received the Ph.D. degree in biased enhanced nucleation of CVD diamond films in U.K. in 2002. He served as a Visiting Researcher and worked as an Assistant Professor with the Oman Medical College from 2002 to 2006. Since 2007, he has been serving as the Director of research from 2013 to 2017 and is currently the Dean of the College of Engineering. He continues to mentor and support colleagues to strive for excellence in education, science, and high impact research. He has over 50 publications in prestigious journals in Thin Films, Chemical Vapor Deposition, Nanotechnology, Nanomedicine, and Nanoscience. He has several accolades which includes the Fellow Chartered Chemist (CCHEM, FRSC) of the Royal Society of Chemistry, U.K., and a Chartered Fellow (CMgr FCMI) of the Chartered Management Institute, U.K. He is also a Senior Fellow of Advance HE.

Hiba Salim received the bachelor’s degree in chemical engineering from Al-Neelain University, Sudan, in 2016. She is currently working as a Research Assistant in TRC Project with Dhofar University, Salalah, Oman, under the supervision of Dr. Gowhar Ahmad Naikoo.

Fareeha Arshad received the B.Sc. degree in biochemistry and the M.Sc. degree in biochemistry from Aligarh Muslim University, India, in 2017 and 2019, respectively. She has been working as a Distance Mentee with Dhofar University, Salalah, Oman, since September 2020, under the mentor Dr. Gowhar Ahmad Naikoo. Her master’s thesis was focused on protein aggregation due to heavy metals. She qualified GATE exam in 2019. Her research interests are focused on biochemistry with particular emphasis on biosensors and cancer biology.

Waqar Ahmed received the Ph.D. degree in low pressure chemical vapour deposition of microelectronics in U.K. in 1985. He is a pioneer is his field and had the privilege and honor of supervising 76 talented, hardworking, and dedicated Ph.D. students from all over the world, including Libya, Egypt, Saudi Arabia, Syria, Iraq, Iran, Palestine, India, Pakistan, Sri Lanka, Europe, USA, and U.K. Many have gone onto becoming professors, deans, heads of schools, and University directors of research worldwide and senior positions in industry. From 2011 to 2017, he was also the Founding Head of the Institute of Nanotechnology and Bioengineering, UCLAN, U.K., which was inaugurated by Noble Laureate Prof. Sir Harold Kroto FRS. At Lincoln, he currently has a dual role serving as the Deputy Head of the School of Mathematics and Physics and the Director of enterprise for the College of Science. At the University of Lincoln, U.K., his research is focused on nanoscience and nanotechnology for renewable energy, energy modeling and management, and sustainability.
His career has spanned several decades in both industry and academia where he spent the first part his career in industry working for General Electric Company, Ferranti Electronics, Inmos, and VSW Scientific Instruments. He has authored over 500 publications including peer-reviewed papers, books, book chapters, reviews, and expert opinions in multidisciplinary subjects. Sir Harry was kind enough to write the forward of first book on Surface Engineered Tools and Medical Devices which provided the impetus for 20 more books published by leading publishers including Springer, Elsevier, and Wiley. His major research interests are in the field of nanoscience, nanotechnology, and nanomedicine. He also holds positions, such as CEng, CCHEM, SFHEA, FIMMM, and FRSC.

Abdullah M. Asiri received the B.Sc. degree in chemistry from King Abdulaziz University (KAU) in 1990 and the Ph.D. degree from the College of Cardiff, University of Wales, U.K., in 1995. He was promoted to a professor in 2004. He is the Head of the Chemistry Department at King Abdulaziz University since October 2009 and has been the Founder and the Director of the Center of Excellence for Advanced Materials Research (CEAMR) since 2010. He is a Professor of Organic Photochemistry. Prof. Asiri is the Principal Supervisor of more than 20 M.Sc. and 25 Ph.D. thesis. His major achievement is the discovery of tribochromic compounds, a class of compounds which change from slightly or colorless to deep colored when subjected to small pressure or when grind. This discovery was introduced to the scientific community as a new terminology published by IUPAC in 2000. This discovery was awarded a patent from the European Patent Office and the U.K. Patent and some other patents office in Europe. He involved in many committees at the KAU level and also on the national level, he took a major role in the Advanced Materials Committee working for KACST to identify the National plan for science and technology in 2007. He played a major role in advancing the chemistry education and research in KAU. He holds 17 USA patents, more than 1650 publications in international Journals, 40 book Chapters, and 75 edited books. He is the main author of ten books in different chemistry disciplines. His research interest covers color chemistry, synthesis of novel photochromic, thermochromic systems, synthesis of novel coloring matters and dyeing of textiles, materials chemistry, and nanochemistry and nanotechnology polymers and plastics. He has been awarded the Best Researcher from KAU for the past five years. He also awarded the Young Scientist Award from the Saudi Chemical Society in 2009, and also the First Prize for the distinction in science from the Saudi chemical Society in 2012. He also received a Recognition Certificate from the American Chemical Society (Gulf region Chapter) for the advancement of chemical science in the Kingdom. He also received the Scopus Certificate for the most publishing scientist in Saudi Arabia in chemistry in 2008. He won the Custodian of the two holy mosques prize for honoring inventors and the gifted, “Takreem” 2017, and Khalifa Prizes for education “The best researchers in Scientific Research,” in 2018, United Arab Emirates, Recently, he was awarded Shoman Prize in 2018. He was listed as a Highly Cited Researcher in highly cited list published by Clarivate in both chemistry and materials category for the year 2018 and 2019. He is also a member of the Editorial Board of Pigments and Resin Technology (U.K.), Organic Chemistry in Sight (New Zealand), Designed Monomers and Polymers, and Journal of Single Molecule Research. He is the Editor-in-Chief of Journal of King Abdulaziz University–Science.

Ahsanulhaq Qurashi received the Ph.D. degree from JNBU, South Korea, in 2008. From 2010 to 2019, he served as an Assistant Professor and an Associate Professor with KFUPM. Since 2019, he has been an Associate Professor with the Department of Chemistry, Khalifa University, United Arab Emirates. He published over 110 articles in peer reviewed international journals and presented 50 papers in international conferences. His research is focused on the development of advanced functional nanomaterials for energy conversion/storage, environmental, and biomedical applications. He received the Postdoctoral Fellowship from Toyama University, Japan, from 2008 to 2010. He is a Regional Editor of Current Nanoscience, an Editorial Board Member of Scientific Reports and MRB, and a Subject Editor for IJHE.
Funding Statement
This work was supported by Khalifa University. The work of Gowhar A. Naikoo, Tasbiha Awan, Israr Ul Hassan, and Hiba Salim was supported by The Research Council (TRC), Oman, under Grant Ref: BFP/RGP/HSS/18/122.
Contributor Information
Gowhar A. Naikoo, Email: gahmed@du.edu.om, gahmed@du.edu.om.
Ahsanulhaq Qurashi, Email: ahsan.qurashi@ku.ac.ae.
References
- [1].Afzal A., Mujahid A., Schirhagl R., Bajwa S., Latif U., and Feroz S., “Gravimetric viral diagnostics: QCM based biosensors for early detection of viruses,” Chemosensors, vol. 5, no. 1, p. 7, Feb. 2017. [Google Scholar]
- [2].Pavia A. T., “Viral infections of the lower respiratory tract: Old viruses, new viruses, and the role of diagnosis,” Clin. Infectious Diseases, vol. 52, no. 4, pp. S284–S289, May 2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [3].Cojocaru F.-D.et al. , “Nanomaterials designed for antiviral drug delivery transport across biological barriers,” Pharmaceutics, vol. 12, no. 2, p. 171, Feb. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [4].Hui D. S., Azhar E. I., Memish Z. A., and Zumla A., “Human coronavirus infections-severe acute respiratory syndrome (SARS), middle east respiratory syndrome (MERS), and SARS-CoV-2,” Reference Module Biomed. Sci., pp. 1–16, May 2020.
- [5].Parihar A., Ranjan P., Sanghi S. K., Srivastava A. K., and Khan R., “Point-of-care biosensor-based diagnosis of COVID-19 holds promise to combat current and future pandemics,” ACS Appl. Bio Mater., vol. 3, no. 11, pp. 7326–7343, Oct. 2020. [DOI] [PubMed] [Google Scholar]
- [6].Kuss S., Amin H. M. A., and Compton R. G., “Electrochemical detection of pathogenic bacteria-recent strategies, advances and challenges,” Chem. Asian J., vol. 13, no. 19, pp. 2758–2769, Oct. 2018. [DOI] [PubMed] [Google Scholar]
- [7].Vidic J., Manzano M., Chang C.-M., and Jaffrezic-Renault N., “Advanced biosensors for detection of pathogens related to livestock and poultry,” Vet. Res., vol. 48, no. 1, pp. 1–22, Dec. 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [8].World Health Statistics 2016: Monitoring Health for the SDGs Sustainable Development Goals, World Health Organization, Geneva, Switzerland, Jun. 2016. [Google Scholar]
- [9].Zhang N.et al. , “Recent advances in the detection of respiratory virus infection in humans,” J. Med. Virol., vol. 92, no. 4, pp. 408–417, Apr. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].Khoury M., Cuenca J., Cruz F. F., Figueroa F. E., Rocco P. R. M., and Weiss D. J., “Current status of cell-based therapies for respiratory virus infections: Applicability to COVID-19,” Eur. Respir. J., vol. 55, no. 6, pp. 1–18, Jun. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [11].Kahn R. E., Ma W., and Richt J. A., “Swine and influenza: A challenge to one health research,” in Current Topics Microbiology Immunology, vol. 385. Cham, Switzerland: Springer, 2014, pp. 205–218. [DOI] [PubMed] [Google Scholar]
- [12].Qasim M., Lim D.-J., Park H., and Na D., “Nanotechnology for diagnosis and treatment of infectious diseases,” J. Nanosci. Nanotechnol., vol. 14, no. 10, pp. 7374–7387, Oct. 2014. [DOI] [PubMed] [Google Scholar]
- [13].Braden C. R., Dowell S. F., Jernigan D. B., and Hughes J. M., “Progress in global surveillance and response capacity 10 years after severe acute respiratory syndrome,” Emerg. Infectious Diseases, vol. 19, no. 6, p. 864, Jun. 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [14].Lai C.-C., Shih T.-P., Ko W.-C., Tang H.-J., and Hsueh P.-R., “Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges,” Int. J. Antimicrobial Agents, vol. 55, no. 3, Mar. 2020, Art. no. 105924. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Paudel S., Dangal G., Chalise A., Bhandari T. R., and Dangal O., “The coronavirus pandemic: What does the evidence show?” J. Nepal Health Res. Council, vol. 18, no. 1, pp. 1–9, Apr. 2020. [DOI] [PubMed] [Google Scholar]
- [16].Udugama B.et al. , “Diagnosing COVID-19: The disease and tools for detection,” ACS Nano, vol. 14, no. 4, pp. 3822–3835, Mar. 2020. [DOI] [PubMed] [Google Scholar]
- [17].Wang L., Wang Y., Ye D., and Liu Q., “Review of the 2019 novel coronavirus (SARS-CoV-2) based on current evidence,” Int. J. Antimicrobial Agents, vol. 55, no. 6, Jun. 2020, Art. no. 105948. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [18].Hu T. Y., Frieman M., and Wolfram J., “Insights from nanomedicine into chloroquine efficacy against COVID-19,” Nature Nanotechnol., vol. 15, no. 4, pp. 247–249, Apr. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Payungporn S.et al. , “Single step multiplex real-time RT-PCR for H5N1 influenza a virus detection,” J. Virolog. Methods, vol. 131, no. 2, pp. 143–147, Feb. 2006. [DOI] [PubMed] [Google Scholar]
- [20].Gourinat A.-C., O’Connor O., Calvez E., Goarant C., and Dupont-Rouzeyrol M., “Detection of Zika virus in urine,” Emerg. Infectious Diseases, vol. 21, no. 1, pp. 84–86, Jan. 2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [21].Laurence J. C., “Hepatitis A and B immunizations of individuals infected with human immunodeficiency virus,” Amer. J. Med., vol. 118, no. 10, pp. 75–83, Oct. 2005. [DOI] [PubMed] [Google Scholar]
- [22].Mokhtarzadeh A. and Bouzari M., “Detection of the frequency of the novel TT virus by PCR and its role in the induction of hepatic injuries in blood donors in west Azerbaijan, Iran,” IJBC, vol. 2009, no. 5, pp. 25–31, 2009. [Google Scholar]
- [23].Broughton J. P.et al. , “Rapid detection of 2019 novel coronavirus SARS-CoV-2 using a CRISPR-based DETECTR lateral flow assay,” MedRxiv, Mar. 2020.
- [24].Sakurai A.et al. , “Fluorescent immunochromatography for rapid and sensitive typing of seasonal influenza viruses,” PLoS ONE, vol. 10, no. 2, Feb. 2015, Art. no. e0116715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [25].Long Q. X.et al. , “Antibody responses to SARS-CoV-2 in patients with COVID-19,” Nat. Med., vol. 26, no. 6, pp. 845–848, Jun. 2020. [DOI] [PubMed] [Google Scholar]
- [26].Mokhtarzadeh A.et al. , “Nanomaterial-based biosensors for detection of pathogenic virus,” TrAC Trends Anal. Chem., vol. 97, pp. 445–457, Dec. 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [27].Cecchini F., Fajs L., Cosnier S., and Marks R. S., “Vibrio cholerae detection: Traditional assays, novel diagnostic techniques and biosensors,” TrAC Trends Anal. Chem., vol. 79, pp. 199–209, May 2016. [Google Scholar]
- [28].Gubala V., Harris L. F., Ricco A. J., Tan M. X., and Williams D. E., “Point of care diagnostics: Status and future,” Anal. Chem., vol. 84, no. 2, pp. 487–515, Jan. 2012. [DOI] [PubMed] [Google Scholar]
- [29].Nayak S., Blumenfeld N. R., Laksanasopin T., and Sia S. K., “Point-of-care diagnostics: Recent developments in a connected age,” Anal. Chem., vol. 89, no. 1, pp. 102–123, Jan. 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [30].Krishna V. D., Wu K., Perez A. M., and Wang J.-P., “Giant magnetoresistance-based biosensor for detection of influenza a virus,” Frontiers Microbiol., vol. 7, p. 400, Mar. 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [31].Khater M., de la Escosura-Muñiz A., and Merko?i A., “Biosensors for plant pathogen detection,” Biosens. Bioelectron., vol. 93, pp. 72–86, Jul. 2017. [DOI] [PubMed] [Google Scholar]
- [32].Tsang M.-K., Ye W., Wang G., Li J., Yang M., and Hao J., “Ultrasensitive detection of Ebola virus oligonucleotide based on upconversion nanoprobe/nanoporous membrane system,” ACS Nano, vol. 10, no. 1, pp. 598–605, Jan. 2016. [DOI] [PubMed] [Google Scholar]
- [33].Bai H., Wang R., Hargis B., Lu H., and Li Y., “A SPR aptasensor for detection of avian influenza virus H5N1,” Sensors, vol. 12, no. 9, pp. 12506–12518, Sep. 2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [34].Cesewski E. and Johnson B. N., “Electrochemical biosensors for pathogen detection,” Biosens. Bioelectron., vol. 159, Jul. 2020, Art. no. 112214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [35].Ju H., Zhang X., and Wang J., “Nanomaterials for immunosensors and immunoassays,” in NanoBiosensing. New York, NY, USA: Springer, 2011, pp. 425–452. [Google Scholar]
- [36].Lee S. H., Sung J. H., and Park T. H., “Nanomaterial-based biosensor as an emerging tool for biomedical applications,” Ann. Biomed. Eng., vol. 40, no. 6, pp. 1384–1397, Jun. 2012. [DOI] [PubMed] [Google Scholar]
- [37].Singh P., Pandey S. K., Singh J., Srivastava S., Sachan S., and Singh S. K., “Biomedical perspective of electrochemical nanobiosensor,” Nano-Micro Lett., vol. 8, no. 3, pp. 193–203, Jul. 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [38].Holzinger M., Le Goff A., and Cosnier S., “Nanomaterials for biosensing applications: A review,” Frontiers Chem., vol. 2, p. 63, Aug. 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [39].Su H.et al. , “Nanomaterial-based biosensors for biological detections,” Adv. Heal. Care Technol., vol. 3, pp. 19–29, Oct. 2017. [Google Scholar]
- [40].Han B., Tomer V., Nguyen T. A., Farmani A., and Singh P. K., Nanosensors for Smart Cities. Amsterdam, The Netherlands: Elsevier, Feb. 2020. [Google Scholar]
- [41].Talebian S., Wallace G. G., Schroeder A., Stellacci F., and Conde J., “Nanotechnology-based disinfectants and sensors for SARS-CoV-2,” Nature Nanotechnol., vol. 15, no. 8, pp. 618–621, Aug. 2020. [DOI] [PubMed] [Google Scholar]
- [42].Bhardwaj S. K.et al. , “Recent progress in nanomaterial-based sensing of airborne viral and bacterial pathogens,” Environ. Int., vol. 146, Jan. 2021, Art. no. 106183. [DOI] [PubMed] [Google Scholar]
- [43].Nguyen B. T. T., Koh G., Lim H. S., Chua A. J. S., Ng M. M. L., and Toh C.-S., “Membrane-based electrochemical nanobiosensor for the detection of virus,” Anal. Chem., vol. 81, no. 17, pp. 7226–7234, Sep. 2009. [DOI] [PubMed] [Google Scholar]
- [44].Polizzi K. M., “Biosensors,” in Comprehensive Biotechnology. Amsterdam, The Netherlands: Elsevier, 2019, pp. 572–584, doi: 10.1016/B978-0-444-64046-8.00060-4. [DOI] [Google Scholar]
- [45].Aydın E. B., “Highly sensitive impedimetric immunosensor for determination of interleukin 6 as a cancer biomarker by using conjugated polymer containing epoxy side groups modified disposable ITO electrode,” Talanta, vol. 215, Aug. 2020, Art. no. 120909. [DOI] [PubMed] [Google Scholar]
- [46].Cordeiro T. A. R., Gonçalves M. V. C., Franco D. L., Reis A. B., Martins H. R., and Ferreira L. F., “Label-free electrochemical impedance immunosensor based on modified screen-printed gold electrodes for the diagnosis of canine visceral leishmaniasis,” Talanta, vol. 195, pp. 327–332, Apr. 2019. [DOI] [PubMed] [Google Scholar]
- [47].Labban N., Hughes L., Wayu M., Pollock J., and Leopold M., “MON-182 adaptable amperometric biosensor platforms for the diagnosis of endocrine disorders,” J. Endocrine Soc., vol. 3, no. 1, p. MON-182, Apr. 2019. [Google Scholar]
- [48].Lima A. B., Ferreira L. F., Barbosa S. L., de Souza Gil E., da Silva R. A. B., and dos Santos W. T. P., “Selective determination of verapamil in pharmaceutics and urine using a boron-doped diamond electrode coupled to flow injection analysis with multiple-pulse amperometric detection,” Electroanalysis, vol. 30, no. 8, pp. 1880–1885, Aug. 2018. [Google Scholar]
- [49].Ding J. and Qin W., “Recent advances in potentiometric biosensors,” TrAC Trends Anal. Chem., vol. 124, Mar. 2020, Art. no. 115803. [Google Scholar]
- [50].Layqah L. A. and Eissa S., “An electrochemical immunosensor for the corona virus associated with the middle east respiratory syndrome using an array of gold nanoparticle-modified carbon electrodes,” Microchim. Acta, vol. 186, no. 4, pp. 1–10, Apr. 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [51].Du L., Yang Y., Zhou Y., Lu L., Li F., and Jiang S., “MERS-CoV spike protein: A key target for antivirals,” Expert Opinion Therapeutic Targets, vol. 21, no. 2, pp. 131–143, Feb. 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [52].Fung J., Lau S. K. P., and Woo P. C. Y., “Antigen capture enzyme-linked immunosorbent assay for detecting middle east respiratory syndrome coronavirus in humans,” in Methods in Molecular Biology, vol. 2099, Vijay R. Ed. New York, NY, USA: Humana, 2020, pp. 89–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [53].Seo G.et al. , “Rapid detection of COVID-19 causative virus (SARS-CoV-2) in human nasopharyngeal swab specimens using field-effect transistor-based biosensor,” ACS Nano, vol. 14, no. 4, pp. 5135–5142, Apr. 2020. [DOI] [PubMed] [Google Scholar]
- [54].Astill J., Dara R. A., Fraser E. D. G., and Sharif S., “Detecting and predicting emerging disease in poultry with the implementation of new technologies and big data: A focus on avian influenza virus,” Frontiers Vet. Sci., vol. 5, p. 263, Oct. 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [55].Zhao Z.et al. , “Advancements in electrochemical biosensing for respiratory virus detection: A review,” TrAC Trends Anal. Chem., vol. 139, Mar. 2021, Art. no. 116253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [56].Joshi S. R., Sharma A., Kim G.-H., and Jang J., “Low cost synthesis of reduced graphene oxide using biopolymer for influenza virus sensor,” Mater. Sci. Eng., C, vol. 108, Mar. 2020, Art. no. 110465. [DOI] [PubMed] [Google Scholar]
- [57].Bhardwaj J., Sharma A., and Jang J., “Vertical flow-based paper immunosensor for rapid electrochemical and colorimetric detection of influenza virus using a different pore size sample pad,” Biosens. Bioelectron., vol. 126, pp. 36–43, Feb. 2019. [DOI] [PubMed] [Google Scholar]
- [58].Ravina , Mohan H., Gill P. S., and Kumar A., “Hemagglutinin gene based biosensor for early detection of swine flu (H1N1) infection in human,” Int. J. Biol. Macromolecules, vol. 130, pp. 720–726, Jun. 2019. [DOI] [PubMed] [Google Scholar]
- [59].Siuzdak K.et al. , “Biomolecular influenza virus detection based on the electrochemical impedance spectroscopy using the nanocrystalline boron-doped diamond electrodes with covalently bound antibodies,” Sens. Actuators B, Chem., vol. 280, pp. 263–271, Feb. 2019. [Google Scholar]
- [60].Nidzworski D.et al. , “A rapid-response ultrasensitive biosensor for influenza virus detection using antibody modified boron-doped diamond,” Sci. Rep., vol. 7, no. 1, pp. 1–10, Nov. 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [61].Bai C.et al. , “Aptamer selection and application in multivalent binding-based electrical impedance detection of inactivated H1N1 virus,” Biosens. Bioelectron., vol. 110, pp. 162–167, Jul. 2018. [DOI] [PubMed] [Google Scholar]
- [62].Anik Ü., Tepeli Y., Sayhi M., Nsiri J., and Diouani M. F., “Towards the electrochemical diagnostic of influenza virus: Development of a graphene—Au hybrid nanocomposite modified influenza virus biosensor based on neuraminidase activity,” Analyst, vol. 143, no. 1, pp. 150–156, 2018. [DOI] [PubMed] [Google Scholar]
- [63].Zhang Q.et al. , “Electrochemical conversion of Fe3O4 magnetic nanoparticles to electroactive prussian blue analogues for self-sacrificial label biosensing of avian influenza virus H5N1,” Anal. Chem., vol. 89, no. 22, pp. 12145–12151, Nov. 2017. [DOI] [PubMed] [Google Scholar]
- [64].Lee T.et al. , “Fabrication of electrochemical biosensor consisted of multi-functional DNA structure/porous au nanoparticle for avian influenza virus (H5N1) in chicken serum,” Mater. Sci. Eng., C, vol. 99, pp. 511–519, Jun. 2019. [DOI] [PubMed] [Google Scholar]
- [65].Lee I.et al. , “A self-calibrating electrochemical aptasensing platform: Correcting external interference errors for the reliable and stable detection of avian influenza viruses,” Biosens. Bioelectron., vol. 152, Mar. 2020, Art. no. 112010. [DOI] [PubMed] [Google Scholar]
- [66].Devarakonda S., Singh R., Bhardwaj J., and Jang J., “Cost-effective and handmade paper-based immunosensing device for electrochemical detection of influenza virus,” Sensors, vol. 17, no. 11, p. 2597, Nov. 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [67].Bhardwaj J., Chaudhary N., Kim H., and Jang J., “Subtyping of influenza a H1N1 virus using a label-free electrochemical biosensor based on the DNA aptamer targeting the stem region of HA protein,” Analytica Chim. Acta, vol. 1064, pp. 94–103, Aug. 2019. [DOI] [PubMed] [Google Scholar]
- [68].Mahari S., Roberts A., Shahdeo D., and Gandhi S., “eCovSens-ultrasensitive novel in-house built printed circuit board based electrochemical device for rapid detection of nCovid-19 antigen, a spike protein domain 1 of SARS-CoV-2,” BioRxiv, May 2020.
- [69].Sayhi M.et al. , “Electrochemical detection of influenza virus H9N2 based on both immunomagnetic extraction and gold catalysis using an immobilization-free screen printed carbon microelectrode,” Biosens. Bioelectron., vol. 107, pp. 170–177, Jun. 2018. [DOI] [PubMed] [Google Scholar]
- [70].Singh R., Hong S., and Jang J., “Label-free detection of influenza viruses using a reduced graphene oxide-based electrochemical immunosensor integrated with a microfluidic platform,” Sci. Rep., vol. 7, no. 1, pp. 1–11, Feb. 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [71].Mavrikou S., Moschopoulou G., Tsekouras V., and Kintzios S., “Development of a portable, ultra-rapid and ultra-sensitive cell-based biosensor for the direct detection of the SARS-CoV-2 s1 spike protein antigen,” Sensors, vol. 20, no. 11, p. 3121, May 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [72].Achadu O. J., Takemura K., Khoris I. M., and Park E. Y., “Plasmonic/magnetic molybdenum trioxide and graphitic carbon nitride quantum dots-based fluoroimmunosensing system for influenza virus,” Sens. Actuators B, Chem., vol. 321, Oct. 2020, Art. no. 128494. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [73].Achadu O. J., Lioe D. X., Kagawa K., Kawahito S., and Park E. Y., “Fluoroimmunoassay of influenza virus using sulfur-doped graphitic carbon nitride quantum dots coupled with Ag2S nanocrystals,” Microchim. Acta, vol. 187, no. 8, pp. 1–11, Aug. 2020. [DOI] [PubMed] [Google Scholar]
- [74].Chan C., Shi J., Fan Y., and Yang M., “A microfluidic flow-through chip integrated with reduced graphene oxide transistor for influenza virus gene detection,” Sens. Actuators B, Chem., vol. 251, pp. 927–933, Nov. 2017. [Google Scholar]
- [75].Kwon J., Lee Y., Lee T., and Ahn J.-H., “Aptamer-based field-effect transistor for detection of avian influenza virus in chicken serum,” Anal. Chem., vol. 92, no. 7, pp. 5524–5531, Mar. 2020. [DOI] [PubMed] [Google Scholar]
- [76].Zhang X.et al. , “Electrical probing of COVID-19 spike protein receptor binding domain via a graphene field-effect transistor,” 2020, arXiv:2003.12529. [Online]. Available: http://arxiv.org/abs/2003.12529
- [77].Hai W.et al. , “Human influenza virus detection using sialyllactose-functionalized organic electrochemical transistors,” Sens. Actuators B, Chem., vol. 260, pp. 635–641, May 2018. [Google Scholar]
- [78].Vadlamani B. S., Uppal T., Verma S. C., and Misra M., “Functionalized TiO2 nanotube-based electrochemical biosensor for rapid detection of SARS-CoV-2,” Sensors, vol. 20, no. 20, p. 5871, Oct. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [79].Malecka K.et al. , “Ultrasensitive electrochemical genosensor for direct detection of specific RNA sequences derived from avian influenza viruses present in biological samples,” Acta Biochim. Polonica, vol. 66, no. 3, pp. 299–304, Aug. 2019. [DOI] [PubMed] [Google Scholar]
- [80].Tripathy S. and Singh S. G., “Label-free electrochemical detection of DNA hybridization: A method for COVID-19 diagnosis,” Trans. Indian Nat. Acad. Eng., vol. 5, no. 2, pp. 205–209, Jun. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [81].Soni A., Surana R. K., and Jha S. K., “Smartphone based optical biosensor for the detection of urea in saliva,” Sens. Actuators B, Chem., vol. 269, pp. 346–353, Sep. 2018. [Google Scholar]
- [82].Garzón V., Pinacho D., Bustos R.-H., Garzón G., and Bustamante S., “Optical biosensors for therapeutic drug monitoring,” Biosensors, vol. 9, no. 4, p. 132, Nov. 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [83].Teengam P., Siangproh W., Tuantranont A., Vilaivan T., Chailapakul O., and Henry C. S., “Multiplex paper-based colorimetric DNA sensor using pyrrolidinyl peptide nucleic acid-induced AgNPs aggregation for detecting MERS-CoV, MTB, and HPV oligonucleotides,” Anal. Chem., vol. 89, no. 10, pp. 5428–5435, Apr. 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [84].Ostroff R.et al. , “Rapid multiserotype detection of human rhinoviruses on optically coated silicon surfaces,” J. Clin. Virol., vol. 21, no. 2, pp. 105–117, May 2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [85].Masson J.-F., “Surface plasmon resonance clinical biosensors for medical diagnostics,” ACS Sensors, vol. 2, no. 1, pp. 16–30, Jan. 2017. [DOI] [PubMed] [Google Scholar]
- [86].Lee W., Kang T., Kim S.-H., and Jeong J., “An antibody-immobilized silica inverse opal nanostructure for label-free optical biosensors,” Sensors, vol. 18, no. 1, p. 307, Jan. 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [87].Kim H.et al. , “Development of label-free colorimetric assay for MERS-CoV using gold nanoparticles,” ACS Sensors, vol. 4, no. 5, pp. 1306–1312, May 2019. [DOI] [PubMed] [Google Scholar]
- [88].Chang Y.-F.et al. , “Simple strategy for rapid and sensitive detection of avian influenza a H7N9 virus based on intensity-modulated SPR biosensor and new generated antibody,” Anal. Chem., vol. 90, no. 3, pp. 1861–1869, Feb. 2018. [DOI] [PubMed] [Google Scholar]
- [89].Takemura K.et al. , “Versatility of a localized surface plasmon resonance-based gold nanoparticle-alloyed quantum dot nanobiosensor for immunofluorescence detection of viruses,” Biosens. Bioelectron., vol. 89, pp. 998–1005, Mar. 2017. [DOI] [PubMed] [Google Scholar]
- [90].Lee T.et al. , “Label-free localized surface plasmon resonance biosensor composed of multi-functional DNA 3 way junction on hollow au spike-like nanoparticles (HAuSN) for avian influenza virus detection,” Colloids Surf. B, Biointerfaces, vol. 182, Oct. 2019, Art. no. 110341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [91].Zou L., Li T., Shen R., Ren S., and Ling L., “A label-free light-up fluorescent sensing platform based upon hybridization chain reaction amplification and DNA triplex assembly,” Talanta, vol. 189, pp. 137–142, Nov. 2018. [DOI] [PubMed] [Google Scholar]
- [92].Moitra P., Alafeef M., Dighe K., Frieman M. B., and Pan D., “Selective naked-eye detection of SARS-CoV-2 mediated by n gene targeted antisense oligonucleotide capped plasmonic nanoparticles,” ACS Nano, vol. 14, no. 6, pp. 7617–7627, May 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [93].Li Z.et al. , “Development and clinical application of a rapid IgM-IgG combined antibody test for SARS-CoV-2 infection diagnosis,” J. Med. Virol., vol. 92, no. 9, pp. 1518–1524, Sep. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [94].Huang Z.et al. , “Ultra-sensitive and high-throughput CRISPR-p owered COVID-19 diagnosis,” Biosensors Bioelectron., vol. 164, Sep. 2020, Art. no. 112316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [95].Qiu G., Gai Z., Tao Y., Schmitt J., Kullak-Ublick G. A., and Wang J., “Dual-functional plasmonic photothermal biosensors for highly accurate severe acute respiratory syndrome coronavirus 2 detection,” ACS Nano, vol. 14, no. 5, pp. 5268–5277, Apr. 2020. [DOI] [PubMed] [Google Scholar]
- [96].Murugan D., Bhatia H., Sai V. V. R., and Satija J., “P-FAB: A fiber-optic biosensor device for rapid detection of COVID-19,” Trans. Indian Nat. Acad. Eng., vol. 5, no. 2, pp. 211–215, Jun. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [97].Nag P., Sadani K., and Mukherji S., “Optical fiber sensors for rapid screening of COVID-19,” Trans. Indian Nat. Acad. Eng., vol. 5, no. 2, pp. 233–236, Jun. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [98].Chorsi M. T.et al. , “Piezoelectric biomaterials for sensors and actuators,” Adv. Mater., vol. 31, no. 1, Jan. 2019, Art. no. 1802084. [DOI] [PubMed] [Google Scholar]
- [99].Ribeiro B. V., Cordeiro T. A. R., Oliveira e Freitas G. R., Ferreira L. F., and Franco D. L., “Biosensors for the detection of respiratory viruses: A review,” Talanta Open, vol. 2, Dec. 2020, Art. no. 100007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [100].Erofeev A. S., Gorelkin P. V., Kolesov D. V., Kiselev G. A., Dubrovin E. V., and Yaminsky I. V., “Label-free sensitive detection of influenza virus using PZT discs with a synthetic sialylglycopolymer receptor layer,” Roy. Soc. Open Sci., vol. 6, no. 9, Sep. 2019, Art. no. 190255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [101].Albano D. R. B., Shum K., Tanner J. A., and Fung Y. S., “BS5.3—Piezoelectric quartz crystal aptamer biosensor for detection and quantification of SARS CoV helicase protein,” Proc. IMCS, vol. 2018, pp. 211–213, Jul. 2018. [Google Scholar]
- [102].Saylan Y., Akgönüllü S., Yavuz H., Ünal S., and Denizli A., “Molecularly imprinted polymer based sensors for medical applications,” Sensors, vol. 19, no. 6, p. 1279, Mar. 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [103].Owen T. W., Al-Kaysi R. O., Bardeen C. J., and Cheng Q., “Microgravimetric immunosensor for direct detection of aerosolized influenza a virus particles,” Sens. Actuators B, Chem., vol. 126, no. 2, pp. 691–699, Oct. 2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [104].Zuo B., Li S., Guo Z., Zhang J., and Chen C., “Piezoelectric immunosensor for SARS-associated coronavirus in sputum,” Anal. Chem., vol. 76, no. 13, pp. 3536–3540, Jul. 2004. [DOI] [PubMed] [Google Scholar]
- [105].Abad J. M., Pariente F., Hernández L., and Lorenzo E., “A quartz crystal microbalance assay for detection of antibodies against the recombinant african swine fever virus attachment protein p12 in swine serum,” Analytica Chim. Acta, vol. 368, no. 3, pp. 183–189, Jul. 1998. [Google Scholar]
- [106].Goode J. A., Rushworth J. V. H., and Millner P. A., “Biosensor regeneration: A review of common techniques and outcomes,” Langmuir, vol. 31, no. 23, pp. 6267–6276, Jun. 2015. [DOI] [PubMed] [Google Scholar]
- [107].Ozer T., Geiss B. J., and Henry C. S., “Review—Chemical and biological sensors for viral detection,” J. Electrochem. Soc., vol. 167, no. 3, Jan. 2020, Art. no. 037523. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [108].Verma N. and Bhardwaj A., “Biosensor technology for pesticides—A review,” Appl. Biochem. Biotechnol., vol. 175, no. 6, pp. 3093–3119, Mar. 2015. [DOI] [PubMed] [Google Scholar]
- [109].Saylan Y., Erdem Ö., Ünal S., and Denizli A., “An alternative medical diagnosis method: Biosensors for virus detection,” Biosensors, vol. 9, no. 2, p. 65, May 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [110].Bawage S. S., Tiwari P. M., Pillai S., Dennis V., and Singh S. R., “Recent advances in diagnosis, prevention, and treatment of human respiratory syncytial virus,” Adv. Virol., vol. 2013, Art. no.595768, Dec. 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [111].Couston R. G., Skoda M. W., Uddin S., and van der Walle C. F., “Adsorption behavior of a human monoclonal antibody at hydrophilic and hydrophobic surfaces,” mAbs, vol. 5, no. 1, pp. 126–139, Jan. 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [112].Wiseman M. E. and Frank C. W., “Antibody adsorption and orientation on hydrophobic surfaces,” Langmuir, vol. 28, no. 3, pp. 1765–1774, Jan. 2012. [DOI] [PubMed] [Google Scholar]
- [113].Jebelli A., Oroojalian F., Fathi F., Mokhtarzadeh A., and Guardia M. D. L., “Recent advances in surface plasmon resonance biosensors for microRNAs detection,” Biosens. Bioelectron., vol. 169, Dec. 2020, Art. no. 112599. [DOI] [PubMed] [Google Scholar]
- [114].Zhao Y., Tong R.-J., Xia F., and Peng Y., “Current status of optical fiber biosensor based on surface plasmon resonance,” Biosens. Bioelectron., vol. 142, Oct. 2019, Art. no. 111505. [DOI] [PubMed] [Google Scholar]
- [115].Arwin H., “TIRE and SPR-enhanced SE for adsorption processes,” in Ellipsometry of Functional Organic Surfaces and Films, vol. 52, Hinrichs K., Eichhorn K. J., Eds. Cham, Switzerland: Springer, 2018, pp. 419–435. [Google Scholar]
- [116].Li S.et al. , “AC electrokinetics-enhanced capacitive immunosensor for point-of-care serodiagnosis of infectious diseases,” Biosens. Bioelectron., vol. 51, pp. 437–443, Jan. 2014. [DOI] [PubMed] [Google Scholar]
-
[117].Moreira F. T. C., Rodriguez B. A. G., Dutra R. A. F., and Sales M. G. F., “Redox probe-free readings of a
-amyloid-42 plastic antibody sensory material assembled on copper@carbon nanotubes,” Sens. Actuators B, Chem., vol. 264, pp. 1–9, Jul.
2018. [Google Scholar] - [118].Birnbaumer G. M.et al. , “Detection of viruses with molecularly imprinted polymers integrated on a microfluidic biochip using contact-less dielectric microsensors,” Lab Chip., vol. 9, no. 24, pp. 3549–3556, Oct. 2009. [DOI] [PubMed] [Google Scholar]
- [119].Leva-Bueno J., Peyman S. A., and Millner P. A., “A review on impedimetric immunosensors for pathogen and biomarker detection,” Med. Microbiol. Immunol., vol. 209, no. 3, pp. 343–362, Jun. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [120].Chen L.-C.et al. , “Improving the reproducibility, accuracy, and stability of an electrochemical biosensor platform for point-of-care use,” Biosens. Bioelectron., vol. 155, May 2020, Art. no. 112111. [DOI] [PubMed] [Google Scholar]
- [121].Srivastava M., Srivastava N., Mishra P. K., and Malhotra B. D., “Prospects of nanomaterials-enabled biosensors for COVID-19 detection,” Sci. Total Environ., vol. 754, Feb. 2021, Art. no. 142363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [122].Pishva P. and Yüce M., “Nanomaterials to tackle the COVID-19 pandemic,” Emergent Mater., vol. 4, pp. 1–19, Feb. 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [123].Jing W.et al. , “Microfluidic device for efficient airborne bacteria capture and enrichment,” Anal. Chem., vol. 85, no. 10, pp. 5255–5262, May 2013. [DOI] [PubMed] [Google Scholar]
- [124].Antiochia R., “Nanobiosensors as new diagnostic tools for SARS, MERS and COVID-19: From past to perspectives,” Microchim. Acta, vol. 187, no. 12, pp. 1–13, Dec. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [125].Duc Chinh V., Speranza G., Migliaresi C., Van Chuc N., Minh Tan V., and Phuong N.-T., “Synthesis of gold nanoparticles decorated with multiwalled carbon nanotubes (Au-MWCNTs) via cysteaminium chloride functionalization,” Sci. Rep., vol. 9, no. 1, pp. 1–9, Apr. 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]






















