Literature DB >> 33727755

Advancements in electrochemical biosensing for respiratory virus detection: A review.

Zhi Zhao1,2, Changfu Huang1,2, Ziyu Huang1,2, Fengjuan Lin2, Qinlin He2, Dan Tao1,2, Nicole Jaffrezic-Renault3, Zhenzhong Guo1.   

Abstract

Respiratory viruses are real meene">nace for n class="Species">human health which result in devastating epidemic disease. Consequently, it is in urgent need of identifying and quantifying virus with a rapid, sensitive and precise approach. The study of electrochemical biosensors for respiratory virus detection has become one of the most rapidly developing scientific fields. Recent developments in electrochemical biosensors concerning respiratory virus detection are comprehensively reviewed in this paper. This review is structured along common detecting objects of respiratory viruses, electrochemical biosensors, electrochemical biosensors for respiratory virus detection and future challenges. The electrochemical biosensors for respiratory virus detection are introduced, including nucleic acids-based, immunosensors and other affinity biosensors. Lastly, for Coronavirus disease 2019 (COVID-19) diagnosis, the future challenges regarding developing electrochemical biosensor-based Point-of-Care Tests (POCTs) are summarized. This review is expected to provide a helpful guide for the researchers entering this interdisciplinary field and developing more novel electrochemical biosensors for respiratory virus detection.
© 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biosensors; COVID-19; Electrochemical; Respiratory viruses; SARS-CoV-2; Virus detection

Year:  2021        PMID: 33727755      PMCID: PMC7952277          DOI: 10.1016/j.trac.2021.116253

Source DB:  PubMed          Journal:  Trends Analyt Chem        ISSN: 0165-9936            Impact factor:   12.296


Angiotensin-converting enzyme II Alkaline phosphatase Auxiliary probe 4-amino phenyl phosphate Gold nanoparticles Boron-doped diamoene">nd bifunctional fluorescence magnetic nanospheres Carbon nanotubes Coronavirus disease 2019 Capture probe Cyclic voltammetry Differential pulse voltammetry Double strand DNA Envelope 3,4-ethylenedioxythiophene Electrochemical impedance spectroscopy Enzyme-linked immuno sorbent assay Fragment-antigen binding Food and Drug Administration Graphene oxide Hemagglutinin Hemagglutination unit 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid Immunochromatography immunofluorescence assay Immunoglobulin G Immunoglobulin M Indium tin oxide Dissociation constants Lateral Flow Immunoassay Limit of detection Label probe Membrane Matrix protein 2 Monoclonal antibodies 6-mercapto-1-hexanol Middle East Respiratory Syndrome n class="Species">coronavirus Magnetic nanoparticles Nucleocapsid Neuraminidase Open reading frame Polyclonal antibodies P-aminophenol P-aminophenyl phosphate monohydrate. Polymerase chain reaction Polydimethylsiloxane Peanut agglutiene">niene">n Point-of-Care Tests Receptor binding domain Reduced graphene oxide Respiratory Syene">ncytial Viral Reverse transcription–polymerase chain reaction Spike Self-assembled monolayer Severe Acute Respiratory Syndrome coronavirus Severe Acute Respiratory Syndrome coronavirus 2 Single-chain Fv fragments Systematic Evolution of Ligands by Exponential Enrichment Surface Enhanced Raman Scattering Screen-printed carbon electrode Screen-printed electrodes Surface Plasmon Resonance Single-stranded DNA Square wave voltammetry RNA upstream of the E geene">ne Untranslated Regions World Health Organization

Introduction

Respiratory viruses, well-kene">nowene">n as n class="Species">influenza virus and coronavirus, usually result in viral respiratory infections through contact as well as airborne transmission [1]. The infected individuals generally present fever, dry cough, fatigue, sputum production and loss of smell, such acute respiratory virus illnesses symptoms. Though sounds like a mild cold, acute respiratory disease caused by respiratory viruses have brought death and pandemics over the past years [2,3]. Only Respiratory Syncytial Viral (RSV) could lead to 14,000 deaths among adults older than 65 years every year in the US [4]. Currently, Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) is the responsible culprits of the Coronavirus disease 2019 (COVID-19) pandemic. According to the data collected from the World Health Organization (WHO), there are totally over 6284,000 cases and 1465,000 deaths in 220 countries, areas or territories by 2 December 2020 [5]. The prevention and control have been taken depending on the features of the spread of the respiratory viruses, such as wearing the P2/N95 masks to prevent airborne spread, cleaning contaminated surfaces to avoid risky contact [6]. However, owing to the non-specific and comprehensive symptoms among the respiratory viruses and the silent transmission from positive asymptomatic, early accurate diagnosis and isolation of patients remain to be crucial for controlling the pandemic resulted by the respiratory viruses [7]. Thus, respiratory virus detection would be particularly decisive. Conventional methods for respiratory virus detectioene">n are mostly based oene">n lab-based techene">niques. From iene">nitial virus cultures, morphological observatioene">n, aene">nd serological tests to subsequeene">nt reverse traene">nscriptioene">n–polymerase chaiene">n reactioene">n (RT–PCR) [8], isothermal amplificatioene">n techene">niques [9], immuene">nochromatography (IC) [10], eene">nzyme-liene">nked immuene">nosorbeene">nt assay (ELISA) or aene">n immuene">nofluoresceene">nce assay (IFA) [11] aene">nd classical diagene">nostic methods have hen class="Chemical">lped physicians to distinguish the causative agents with accuracy. Although, in clinical practice, cumbersome sample-preparation, high cost, professional operators and time-consuming equally become the drawbacks of most classical lab-based techniques [12]. There is still a demand to exploit rapid, simple, cheap assays with precision on respiratory virus detection. Biosensors, cooperating the bio-recognition elements with the sensor system, are capable of recognizing the targets with high sensitivity and selectivity [13]. Biosensors have arisen in numerous areas, including environment monitoring, food safety, drug control, disease diagnosis and so on [14]. Among them, many optical based techniques are proposed for virus detection such as Surface Plasmon Resonance (SPR) [15], Lateral Flow Immunoassay (LFIA) [16], Surface Enhanced Raman Scattering (SERS) [17]. Electrochemical biosensors have aroused burgeoning attention because of iene">ntriene">nsic streene">ngths: simplicity, rapid respoene">nse, flexibility, miene">niaturized iene">nstrumeene">ntatioene">n, excelleene">nt seene">nsitivity aene">nd low cost [18], which have beeene">n emergiene">ng alterene">native tools for the quaene">ntitative or semi-quaene">ntitative aene">nalyziene">ng n class="Species">respiratory viruses. Excellent reviews are accessible in the literature about the state-of-art of electrochemical biosensors for pathogen detection: Anusha et al. [19] highlighted various types of electrochemical biosensing techniques and the role of biorecognition molecules in sensing of dengue virus; Kaushik et al. [20] discussed the recent developments in developing intelligent sensing strategies to monitor Zika virus; Rasouli et al. [21] gathered the advancements in electrochemical DNA biosensors for the detection of human papillomavirus virus. However, these reviews are all restricted to include only a kind of virus, which lack of the summary of electrochemical detection methods for a class of viruses. Furthermore, there are other excellent reviews that present the current state of biosensors for respiratory virus detection: Ribeiro et al. [22] covered important advancements in the biosensor field in terms of most current respiratory viruses, presenting the development in the assembly of the devices and figures of advantages. Samson et al. [23] present all the novel types of biosensors that could be used for the rapid detection of COVID-19. Ruiz de Eguilaz et al. [24] reported on virus and antibody detection using electrochemical methods, focusing on recent key innovations which drive the progress of portable, high performance point-of-care technologies. Nevertheless, few articles cover and focus on both electrochemical biosensor background and respiratory virus detection, or their key aspects are a kind of special field. For example, Nelson et al. [25] provided a brief overview of currently available Point-of-Care Tests (POCTs) for the diagnosis of emerging and new respiratory viruses along with their merits and limitations, and discussed recently published methods and techniques with a potential use in future POCTs. Therefore, our review article aims to fills the blank by combining essential background information about electrochemical biosensors with the rapidly moving advancements of electrochemical biosensors for respiratory virus detection. Hence, we reviewed the recent advances in electrochemical biosensors for respiratory virus detectioene">n. Iene">n this review, commoene">n detectiene">ng objects of n class="Species">respiratory viruses, electrochemical biosensors, electrochemical biosensors for respiratory virus detection and future challenges are discussed successively. When exploring the methods for testing a new virus, it is often worthy of reviewing the already existing methods for other congeneric virus in comparison. Therefore, it is anticipated that this review regarding respiratory viruses will provide a complete guide to develop novel COVID-19 diagnosis assays with prominent accuracy and sensitivity, thereby performing appropriate antiviral therapies for patients.

Common detecting objects of respiratory viruses

For respiratory virus detectioene">n, the whole virus, their structural proteiene">ns, geene">ne sequeene">nces aene">nd aene">ntibodies could be the targets. Here we will give a compreheene">nsive discussioene">n regardiene">ng commoene">n detectiene">ng objects of represeene">ntative n class="Species">respiratory viruses: influenza virus, MERS-CoV and SARS-CoV-2.

Whole virus and their structural proteins

Influenza virus

Basically, the whole influenza virus aene">nd the structural proteiene">ns, iene">ncludiene">ng M1 proteiene">n, hemagglutiene">niene">n (HA) aene">nd n class="Gene">neuraminidase (NA) all can serve as antigens for influenza virus detection. The type of influenza virus: A, B and C are classified according to the encoding proteins: matrix protein M1 and viral nucleoproteins. M1 protein is the only essential viral component for virus-like particles formation and suitable for all serotypes of influenza virus [26]. Besides, the virus can combine with the host cells through the contacts of HA and NA. There has been 18 HA and 11 NA variants so far owing to their high variety. The subtype of influenza virus is usually decided by the properties of HA and NA [27].

The Middle East Respiratory Syndrome corona virus (MERS-CoV)

Belonging to coronavirus, n class="Species">MERS-CoV owns four structural proteins: spike (S) protein, envelope (E) protein, membrane (M) protein and nucleocapsid (N) protein. The S protein is involved in the binding process between the virus and the host cell surface receptors. The E protein is the smallest protein in the major structural proteins, mediating virus assembly and budding. The M protein is able to decide the shape of the virus envelope. The N protein is the only protein binding to the RNA genome [28]. Among these, the S protein is the most-frequently used antigens because of its significant role in the attachment of the virus to the host cells. However, there are still few published articles about the detection of the whole MERS-CoV virus.

SARS-CoV-2

The whole SARS-CoV-2 aene">nd their four structural proteiene">ns: S, E, M aene">nd n class="Gene">N could be used as targets for SARS-CoV-2 detection. M and E protein are essential proteins when occurring viral assembly, while S and N proteins are the most significant biomarkers in terms of COVID-19 early diagnosis. The S protein can mediate the fusion of the virus and the host cell membrane, making the virus more easily enter the host cells [29]. Besides, the highly immunogenic S protein could promote producing neutralizing antibodies as well as T-cell responses in the SARS-CoV-2 patients [30]. Moreover, the S1 subunit of the S protein exhibits the receptor binding domain (RBD) with strong binding affinity for the host angiotensin-converting enzyme II (ACE2) receptor on the human cells [31]. Therefore, the RBD protein of SARS-CoV-2 could also be selected as the targets.

Gene sequences derived from viruses

The origins of the derived gene are generally classified into two groups: (i) deriving from the biomarkers of the influenza virus. The most frequeene">ntly-used Rn class="Gene">NA transcripts and DNA oligonucleotides when diagnosing influenza virus are the HA gene of them. (ii) sequences of DNA derived from influenza virus then amplified by polymerase chain reaction (PCR). Although some electrochemical biosensors are able to detect gene sequences in the pure samples, there is still distance before their application to real samples owing to the high background responses from matrix effects [32]. Therefore, researchers begin to detect the amplified products from PCR to solve the problems from real samples. Nevertheless, for amplified products, the efficiency will decrease when the targets and probe hybridize because of interference factors [33]. In fact, it is the ideal that the electrochemical biosensors do not rely on the PCR technique or less, which may increase workload. Unluckily, the electrochemical biosensors independent on PCR are chiefly suitable for abundant DNA targets. The low-abundance DNA analytes even if not depending on PCR, still involve quantitative real-time PCR [34].

MERS-CoV

The genome of MERS-CoV includes 30,119 nucleotides aene">nd 11 opeene">n reading frames (ORF). The first opeene">n reading frames (n class="Gene">ORF 1a and 1b) at the 5′-Untranslated Regions (UTR) (278 nucleotides) have become essential detecting objects in the MERS-CoV specie identification, which are predicted to encode nonstructural proteins [35]. The genes downstream to ORF1ab encode for structural proteins and accessory proteins (Fig. 1 ). The RNA upstream of the E gene (upE) has also been recommended by WHO for MERS-CoV detection [36]. Besides, with a sensitivity of ≤10 copies/reaction, identifying the MERS-CoV N gene is an alternative method complementing upE and ORF 1a approaches, recommended by the US Food and Drug Administration (FDA) [37].
Fig. 1

The genome of SARS-CoV, MERS-CoV and SARS-CoV-2, all of which consist of conserved replicase domain (ORF 1ab) (blue). The structural genes (green) S, E, M and N encode the structural proteins: spike (S) protein, envelope (E) protein, membrane (M) protein and nucleocapsid (N) protein, respectively. Different coronaviruses have different accessory genes (orange). Reproduced with permission from Ref. [35].

The genome of SARS-CoV, n class="Species">MERS-CoV and SARS-CoV-2, all of which consist of conserved replicase domain (ORF 1ab) (blue). The structural genes (green) S, E, M and N encode the structural proteins: spike (S) protein, envelope (E) protein, membrane (M) protein and nucleocapsid (N) protein, respectively. Different coronaviruses have different accessory genes (orange). Reproduced with permission from Ref. [35]. Similar to MERS-CoV, the 5′-termiene">nal geene">nome n class="Gene">ORF1a/b encode two large polyproteins, the other ORFs on the genome encode four main structural proteins and accessory proteins. ORF 1a, ORF 1b, non-structural RNA-dependent RNA polymerase, S gene, N gene of Severe Acute Respiratory Syndrome coronavirus (SARS-CoV) are the preferred targets for nucleic acid tests [38]. Owing to the 79% similarity of the whole-genome between SARS-CoV and SARS-CoV-2, unique primers or guide RNAs are required for distinguishing SARS-CoV-2 with no cross-reactivity for SARS-CoV [39]. To avoid the “false negative” result, multiple gene sequences are usually detected simultaneously in the COVID-19 diagnosis.

Antibodies

It is well known that the immunoglobulin M (IgM) presents in patients’ blood after 3–6 days, aene">nd immuene">noglobuliene">n G (IgG) preseene">nts after 8 days [40]. Moreover, the specific aene">ntibodies of structural proteiene">n are also alterene">natives for n class="Species">influenza virus detection, such as the antibodies of HA and NA. The vaccines could induce the increase of virus-specific antibodies about virus invasion [41]. Generally, antibodies to proteins S, 3a, N, aene">nd 9b could be detected in the serum samples of convalesceene">nt-phase n class="Species">patients [42]. Anti-S and anti-N are detectable until week 30, and anti-N appears earlier than anti-S, so anti-S may be preferable with convalescent sera comparatively [43]. Whereas, for early diagnosis of diseases related to respiratory viruses, detecting relative specific antibodies is not appropriate, which may be useful for treating convalescent patients [44]. For SARS-CoV-2 infection, IgG agaiene">nst n class="Gene">N protein is detectable as early as 4 days after infection. Zhang et al. [45] have confirmed that IgG and IgM could be detected by enzyme-linked immuno sorbent assay (ELISA) in the serum of the patients after 5 days of infection. After SARS-CoV infection, it has been proved that the sensitivity of N-based IgG ELISA (94.7%) is significantly higher than that of S-based IgG ELISA (58.9%) [46], but there is still no report to present the sensitivity of SARS-CoV-2 IgG/IgM.

Electrochemical biosensors

The development of chemical and biosensors is one of the most active fields in current analysis and research. Biosensors are small devices including bio-recognition elements and signal transducers, which can be used for the direct detection of objects in samples [47]. Electrochemical sensors, using electrodes as energy exchangers, are the important branch of biosensors. Electrochemical sensors occupy an important position in current biosensors, widely applied in the clinical, industrial, environmental and agricultural analysis [48,49]. Therefore, we discussed the electrochemical biosensors utilizing the framework upon the working principles, merits and defects of electrochemical biosensors, electrochemical transduction, bio-recognition elements and nanomaterials. The components and principle as to electrochemical biosensors used for the detection of the respiratory viruses are displayed iene">n the Fig. 2 .
Fig. 2

Schematic description of components and principle for electrochemical biosensors used in detection of respiratory viruses. (ssDNA: Single-stranded DNA.)

Schematic description of components and principle for electrochemical biosensors used in detection of respiratory viruses. (ssDn class="Gene">NA: Single-stranded DNA.)

Working principles, merits and defects

The biosensor is an analytical system composed of three essential parts: the bio-recognition element, the transducer and signal output [50]. The diagnosis molecules process could be summarized as: the targets firstly are recognized by the specific bio-recognition elements via amounts of interaction like the covaleene">nt bond or non-n class="Species">covalent bond; then the changes could be felt by the transducer and further translated into the digital detector; finally, the digital signals are output by the digital device such as computers and phones [51]. Particularly, the transducers of the electrochemical biosensors are a variety of electrodes, such as glassy carbon electrodes, gold electrodes, screen-printed electrodes (SPEs) and carbon paste electrodes. The electrodes in the electrochemical biosensors provide the platform for kinds of modification, which aim at improving the property of analytical system: sensitivity, selectivity, stability, reproducibility and so on [52]. Thus, the well-designed electrochemical biosensors exhibit abundant advantages: low-cost, quick-response, simple, high sensitivity with the help of electrode fabrication and the bio-recognition element design [53]. On the one hand, compared with other transduction processes, that of the electrochemical biosensors could be completed at the electrochemical workstation at least, which reduce the cost of test greatly. This is because the electrochemical detection is based on the result of direct electronic sigene">nals, like amperometric, voltammetric aene">nd impedimetric chaene">nges. Therefore, the detecting process could be over in a short time [54]. Moreover, the electrochemical bioseene">nsors are capable of realizing label-free detection without the incorporation with aene">ny label, making POCTs possible [55]. Iene">n addition, the high seene">nsitivity of electrochemical bioseene">nsors could be eene">nsured by applying the bio-recogene">nition elemeene">nts with high specificity aene">nd affinity or decorating the electrodes with special materials with excelleene">nt electronic performaene">nce [56]. Over the past few years, the electrochemical bioseene">nsors have gained numerous progresses in the aene">nalytical field owing to the advaene">ntages, especially in the diagene">nosis of the pathogeene">ns, offering a kind of new possibility for healthcare. The electrochemical bioseene">nsors have beeene">n utilized to monitor the virus particles during virus outbreaks in epidemic areas. On the other hand, even if most of electrochemical biosensors are successfully tested in buffered solutions or diluted real samples spiked with targets, matrix effects always influeene">nce the aene">nalytical performaene">nce of the bioseene">nsors in practice. Therefore, the stability aene">nd accuracy of electrochemical bioseene">nsors remain to be the biggest limitations, especially after repeated usages aene">nd long storage. Besides, owing to some interaction betweeene">n the biorecogene">nition elemeene">nts aene">nd targets is irreversible, thus these electrochemical bioseene">nsors could only be used once, increasing the cost of testing.

Electrochemical transduction

There have been a variety of electrochemical biosensors fabricated for respiratory virus detectioene">n, the most commoene">nly used electrochemical techene">niques are chroene">noamperometry, cyclic voltammetry (CV), differeene">ntial pulse voltammetry (n class="Chemical">DPV), and square wave voltammetry (SWV) and the electrochemical impedance spectroscopy (EIS) whose principles are described in Ref. [57]. Voltammetric biosensors (CV, DPV and SWV etc.) have been widely implemented for respiratory virus detection owing to their fast response, less sample, simple preparation and excellent reproducibility. However, on account of the requirement of the extra electroactive species, its application is limited in some degree for respiratory virus detection [58]. EIS technique is attractive for biomedical and biological fields in accordance with the ability of revealing the weak interaction between different species. Moreover, the EIS is the only research method for studying the interactions between biolayers, which have active effect on the designing rapid, stable, sensitive and portable electrochemical biosensors for respiratory virus detection.

Bio-recognition elements

Bio-recognition element is the key component of the electrochemical biosensors. Only when the recognition of the targets is guaranteed, the later steps can start. Bio-recognition element in the electrochemical biosensors could be divided into biocatalytic and biocomplexing. Biocatalytic elements, such as enzymes, cells and tissues, are based on the catalytic reactions for recognizing targets. For example, enzymes are involved in various chemical sensing applications, which are primarily served as signal labels in the respiratory virus detectioene">n. Eene">nzymes are usually iene">ntroduced duriene">ng the secoene">ndary biene">ndiene">ng process. Biocomplexiene">ng elemeene">nts are the most-frequeene">ntly used bio-recogene">nitioene">n elemeene">nts iene">n the n class="Species">respiratory virus detection, which rely on the interaction of targets with macromolecules or organized molecular assemblies. Antibodies, aptamer and peptide are common bio-recognition elements in the respiratory virus detection. Some researchers also used imprinted polymers as bio-recognition elements in the electrochemical biosensors.

Nanomaterials

The modification of the working electrode is very important in the fabrication process of the electrochemical biosensors, resulting in the link between analytes in the bulk solution and sensing interface. The affinity of the biosensors is usually improved by modifying with bio-recognition elements, and the sensitivity of the biosensors is often enhanced by realizing signal amplification through the addition of nanomaterials. The common nanomaterials and their properties utilized in electrochemical biosensing are briefly introduced as followed: Gold-based naene">nomaterials. n class="Chemical">Metallic nanoparticles, owning unique optical/electrical properties, especially gold nanoparticles (Au NPs) have been served as stable immobilizer for bio-recognition elements without distorting their bioactivity, meanwhile facilitating excellent electron transfer between the targets and sensing interface. Both various functional groups (–SH, –NH2, –CN) and amine or thiol linkers could coordinate Au NPs attachment forming multilayered bionanocomposite-film on the interface [59]. Carbon-based naene">nomaterials. n class="Chemical">Graphene oxide (GO), reduced graphene oxide (RGO) and carbon nanotubes (CNTs) are used under other circumstance in designing biosensors with high sensitivity. The main advantage of the carbon-based nanomaterials is increasing the electron transfer rates. Additionally, by chemically functionalizing the surface architecture, both the electrical conductivity and the surface area could be enhanced and result in the improvement of the sensitivity of the biosensors [60]. Magnetic nanoparticles (MNPs). Their haene">ndling aene">nd the large variation of surface allow them to be employed as coating support for further modification, aene">nd its high surface eene">nergy aene">nd large surface area allow electrons traene">nsfer more efficieene">ntly at the same time. Moreover, owing to being controllable by exterene">nal magene">net, wheene">n attached with labels aene">nd bio-recogene">nition elemeene">nts simultaene">neously, the Mn class="Gene">NPs are able to realize the reproducible magnetic virus separation and further signal amplification in the real clinical samples [61].

Electrochemical biosensors for respiratory virus detection

According to the type of bio-recognition element, we divided the electrochemical biosensors for respiratory virus detection into three groups: nucleic acid-based, immuene">noseene">nsors aene">nd other affinity bioseene">nsors. Their advaene">ntages aene">nd limitations wheene">n applied for n class="Species">respiratory virus detection are summarized in Table 1 . Next, we would review the recent electrochemical biosensors for respiratory virus detection in terms of the classification.
Table 1

Advantages and limitations of common bio-recognition elements applied for respiratory virus detection.

Type of electrochemical biosensorsbio-recognition elementsAdvantageslimitations
Nucleic acids-basedss-DNADetection of ssDNA PCR products, easy to produce and more stableLimited for gene sequence detection, strict hybridization conditions and expensive
AptamerSize-smaller, low-cost, more stable, easy-to-produce and of lower immunogenicityThe strict hybridization conditions, long-term SELEX process and sometimes need complex steps
ImmunosensorsMonoclonal antibodies (mAb)More specific than pAb, avoiding the cross reactionExpensive, instable and complexity-to-synthesis
Polyclonal antibodies (pAb)Less expensive, more epitopes and mass-productiveInstable and easily appearing cross reaction
Antibody single-chain Fv fragments (scFv)Highly customizable, low variability and smaller size compared with whole antibodySlow synthesis, lower affinities compared with whole antibodies and can't be produced for small molecules
Others affinity biosensorsFetuin ALow-cost, selective and lower limit of detectionLimited to influenza virus
PeptidesEasily being designed and preparedLess specific compared with aptamers and antibodies
GlycansStoring more code informationLimited to a few viruses, the affinities need to be proved further
Advantages and limitations of common bio-recognition elements applied for respiratory virus detectioene">n.

Nucleic acids-based

Electrochemical biosensors based on nucleic acids as recognition element generally used DNA or Rn class="Gene">NA. The DNA or RNA sequences are usually immobilized on the sensing interface. Owing to the specific binding between probes and targets, the formation on the electrode, like double strand DNA (dsDNA), could trigger the properties change of the electrode surface, which can be detected via electrochemical techniques. The electrochemical signals are generally from the electron transfer of redox-active probe with the electrode, and the common redox-active probes are [Fe (CN)6]3-/4- and [Ru (NH3)6]3+ complexes [62]. Nucleic acid-based electrochemical biosensors own various merits: high specificity, stability, possibilities for miniaturization, which are very attractive for the fabrication of biosensors [63]. The nucleic acid-based electrochemical biosensors for respiratory virus detection are summarized in Table 2 .
Table 2

Nucleic acid-based Electrochemical biosensors for respiratory virus detection.

TypeVirusRecognition elementLinear rangeLODElectrochemical methodRef.
Detection of proteins or whole virusH1N1aptamer101 PFU mL−1 – 104 PFU mL−13.7 PFU mL−1DPV[45]
H5N1DNA probe1 pM – 100 nMHEPES buffer: 1 pMchicken serum: 1 pMCV[64]
AIVanti-AIV NP aptamer2 nM – 2 μM1.13 nMCV[65]
H7N9DNA tetrahedral probe and ssDNA1 pM – 100 nM100 fMamperometry[66]
H5N1aptamer100 fM – 10 pM100 fMDPV[67]
H1N1aptamer against inactivated intact H1N1/0.3 ng mL−1EIS[68]
Detection of PCR ssDNA productsH5N1thiolated ssDNA probe/RNA transcripts: 10 pMDNA oligonucleotides: 1 pMSWV[69]
H5N1ssDNA probe1–10 pM1.39 pMSWV[70]
Influenza ADNA probe1.0 fM – 1.0 nM84 aMDPV[71]
H1N1HA gene specific ssDNA probe0.1–400 ng in 6 μL0.004 ng in 6 μLEIS[72]
Nucleic acid-based Electrochemical bioseene">nsors for n class="Species">respiratory virus detection. Single-stranded (ss) DNA, hairpin Dn class="Gene">NA, peptide nucleic acid, and locked nucleic acid are the probe often used in the electrochemical biosensors [73]. The most common probe in kinds of nucleic acid-based electrochemical biosensors is ssDNA. Specially, aptamer, a kind of ssDNA with high affinity and selectivity toward targets has been widely utilized in ssDNA-based electrochemical biosensors. The aptamer is selected from Systematic Evolution of Ligands by Exponential Enrichment (SELEX), which could combine with targets via interaction like hydrogen bonds, van der Waals forces [74]. The targets of aptamer can be proteins, nucleic acid or chemical substances. Comparing with antibodies, the aptamer is size-smaller, low-cost, more stable, easy-to-produce and of lower immunogenicity, which has considerable potential for developing novel electrochemical biosensors with high specificity [75]. Detection of proteins or whole virus Bhardwaj et al. [45] selected an ssDNA aptamer against stem region of HA protein of n class="Species">influenza A virus by five rounds of SELEX. Simultaneously, mini-HA protein and whole H1N1 virus could be recognized by this aptamer. The dissociation constants (KD) of the developed aptamer are higher than the average KD of the influenza virus antibodies, which means the affinity of aptamers is superior to relative antibodies. The specific aptamer was adsorbed on the working areas of the ITO/glass strips previously functionalized by a polyethylenimine solution, the final aptasensor achieved a H1N1 virus limit of detection (LOD) of 3.7 plaque-forming units (PFU) per mL. More importantly, six strains of H1N1 influenza A viruses could be identified by the aptamer-modified electrode, indicating the possibility of the rapid subtyping of H1N1 and diagnostic applications. Apart from single aptamer as recognition element, the most usual detecting assay in aptamer-based biosensor is the aptamer-target-antibody sandwich method. The dual recognition pattern greatly improves the accuracy and selectivity of the detection process, decreasing the LOD of biosensors. Diba et al. [67] fabricated an amperometric bio-affinity electrochemical sensor for avian influenza virus proteins detection with aptamer modified Au NPs decorated on carbon chips. The electrochemical signals were from the reaction between alkaline phosphatase (ALP) and 4-amino phenyl phosphate (APP). The current generated from the Au NPs-aptamer/H5N1/anti-H5N1-ALP sandwich complex with the enzyme substrate increased with the concentration of H5N1. Differential pulse voltammetry was used for detection with a linear dynamic range of 100 fM-10 pM. The 100 fM LOD of the aptamer-antibody sandwich platform compares favorably with commercial antibody ELISA kits. The proposed biosensor has been used in the detecting H5N1 protein for diluted human serum samples. However, to immobilize the aptamer, the fabrications of the electrode often involve labeling and anchoring operation, which required complex steps. In order to solve the problem, Lee et al. [65] introduced a multi-functional probe which consists of recognition part, signal producing part and combining part. It was immobilized on the porous Au n class="Gene">NPs modified electrode for avian influenza virus detection. The recognition part was based on the specific aptamer of HA protein. The DNA 3 way-junction probe could realize three steps: recognizing, immobilizing and generating without additional process and loss of functionality. Besides, the multifunctional DNA probe could also insert redox probe, functional groups and other aptamers. The multi-functional probe-based electrochemical biosensor showed the LOD of HA protein at 1 pM in 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES) solution and 1 pM in diluted-chicken serum, respectively. Although the proposed biosensor didn't own the lowest LOD, the redox probe labeling step and signal amplification step were both reduced compared to previous works. Detection of PCR ssDNA products Alafeef et al. [76] reported using antisense oligonucleotides directed electrochemical bioseene">nsor chip for realiziene">ng the digital diagene">nosis. The seene">nsiene">ng chip was based oene">n the paper-based electrochemical seene">nsor chip modified with n class="Chemical">Au NPs. The highly specific antisense oligonucleotides towards viral N gene were served as bio-recognition element, yielding a nucleic-acid-testing device with a readout presented by a hand-held reader. The samples collected from Vero cells infected with SARS-CoV-2 virus and clinical specimens have been tested for the device, whose incubation time was less than 5 min, with a sensitivity of 231 (copies μL−1)−1 and LOD of 6.9 copies μL−1 without further amplification. For most nucleic acid-based electrochemical biosensors, the nucleic acid-probes are generally immobilized on the sensing interface through the attachment between points. The density of the recognition elements couldn't be ensured to be homogeneous, resulting in the additional process to block the unspecific adsorption [77], the DNA nanotechnology has been as the solution to solve the problem. The DNA with different structures is designed to control the recognition, such as DNA tetrahedra. The three vertices of the DNA tetrahedra are usually modified with thiol groups, the DNA tetrahedra will attach to the electrode surface via Au–S bond thus one signal probe could be immobilized on one DNA tetrahedra with the fourth vertex [61]. Comparing to the conventional point-tethered signal probe, the signal anchored by DNA tetrahedra present 5000-fold greater affinity [78]. Essentially, because of the high mechanical rigidity of the DNA tetrahedra, the signal probes will keep an upright orientation on the electrode surface even without the help of 6-mercapto-1-hexanol (MCH). Latest advances have also extended the applications of DNA tetrahedra in nucleic acid-based electrochemical biosensors. Dong et al. [66] developed a DNA tetrahedra-based electrochemical biosensor for H7N9 virus ssDNA detection, the amperometric signals were recorded from the interaction between the avidin-horseradish peroxidase attached to bio-ssDNA (biotin-labeled ssDNA) and 3,3′,5,5′-tetramethylbenzidine substrate. Before testing, H7N9 virus cDNA was employed to conducting asymmetric PCR for obtain H7N9 virus ssDNA targets, the dependence degree study of the developed biosensors on PCR is also proceeded, the results showed ssDNA products from only one cycle of asymmetric PCR could be identified by the proposed sensor platform. The detection limit of the biosensor for asymmetric PCR ssDNA products was determined to be 97 fM. The asymmetric PCR ssDNA products and PCR-free samples both could be distinguished from zero samples by DNA biosensor. It is also the first time that the DNA tetrahedra-based electrochemical biosensor was proposed to be tested in the clinical samples, which potentially verified the practicability of DNA tetrahedra probe (Fig. 3 ).
Fig. 3

A DNA tetrahedral nanostructure-based electrochemical biosensor was developed to detect avian influenza A (H7N9) virus through recognizing a fragment of the hemagglutinin gene sequence. Biotin-labeled (bio)-ssDNA was the bio-recognition element toward targets, which also could combine with avidin-horseradish peroxidase (HRP) probes through biotin-avidin interaction. The DNA hybridization hence was transformed into the redox reaction of TMB (enhanced K-blue substrate) and H2O2. Reproduced with permission from Ref. [66].

A DNA n class="Chemical">tetrahedral nanostructure-based electrochemical biosensor was developed to detect avian influenza A (H7N9) virus through recognizing a fragment of the hemagglutinin gene sequence. Biotin-labeled (bio)-ssDNA was the bio-recognition element toward targets, which also could combine with avidin-horseradish peroxidase (HRP) probes through biotin-avidin interaction. The DNA hybridization hence was transformed into the redox reaction of TMB (enhanced K-blue substrate) and H2O2. Reproduced with permission from Ref. [66]. Zhao et al. [79] firstly proposed supersandwich-type electrochemical biosensor regarding SARS-CoV-2 from n class="Disease">COVID-19 patients by a smartphone (Fig. 4 ). The supersandwich-type electrochemical biosensor included: capture probe (CP), auxiliary probe (AP), label probe (LP), and target sequence. The 5′- and 3′-terminals of target sequence are complementary to CP and LP, respectively. The 5′- and 3′-regions of AP have complementary sequences with two LP regions. The detection was based on using CP and LP, AP and LP to hybridize frequently for producing long concatemers, resulting in high sensitivity. Besides, p-sulfocalix [8] arene functionalized graphene was utilized to enrich toluidine blue, which was an approach of facilitating of LP with signal probes for selectivity enhancement. The detectable ratios (85.5% and 46.2%) were rather higher than those that were obtained using RT-PCR (56.5% and 7.7%) according to the testing for 88 RNA extracts from 25 SARS-CoV-2-confirmed patients and eight recovery patients.
Fig. 4

Schematic representation of SARS-CoV-2 detection using the electrochemical biosensor. (A) Prepare of premix A and B; (B) Process of electrochemical detection using a smartphone. Reproduced with permission from Ref. [79].

Schematic representation of SARS-CoV-2 detectioene">n usiene">ng the electrochemical bioseene">nsor. (A) Prepare of n class="Gene">premix A and B; (B) Process of electrochemical detection using a smartphone. Reproduced with permission from Ref. [79]. Totally, for nucleic acids hybridization assays, electrochemical biosensors based on nucleic acids probe is the first choice, and aptasensors are suitable for both nucleic acids and other small molecules. The affinity of the probe depending by the sequences selection of the probe mostly decides the specificity of the electrochemical biosensors. The conditions of the hybridization such as the buffer composition and temperatures are also the influencing factors. Therefore, the design of electrochemical biosensors based on nucleic acids probe are comparatively strict. Besides, when the sensitivity of the biosensor is insufficient, it is common to use tagged hairpin probes or hybridized tapered sequences as amplification steps, which may add additional experimental steps.

Immunosensors

Antibodies are the bio-recognition elements of the electrochemical immunosensors. Antibodies are a series of serum proteins produced by B-lymphocytes and plasma cells, which could recognize and bind the targets (antigens). The antibody contains two antibody fragment-antigen binding (Fab) that are held by the key hinge disulfide bridges. The n class="Chemical">disulfide-termed Fab fragments are named Fab’ which allow the binding with the sensing interface via the covalent bond [80]. Antibodies are the workhorse in commercial and lab bioanalytical assays due to their high specificity, extreme affinity and great sensitivity, showing interesting applications for detecting virus, proteins, and cancer cells [81]. The antibodies could be obtained by amounts of methods, natural or recombinant, as monoclonal or as polyclonal. Nevertheless, comparing to the nucleic acid elements, the defects of the antibodies are high-cost, instability, complexity-to-synthesis, the affinity of which may be affected by adding the signal tags, and can't be used for small molecules, drugs and metal ions [82]. The most prominent antibodies in respiratory virus detectioene">n are moene">nocloene">nal aene">ntibodies (mAb), polycloene">nal aene">ntibodies (pAb) aene">nd aene">ntibody siene">ngle-chaiene">n Fv fragmeene">nts (n class="Gene">scFv). mAb are more specific than pAb because mAb could only combine with single epitope hence avoiding the cross reaction, and the pAb are produced towards various epitopes on a single antigen [83]. While the pAb are less expensive and mass-productive providing the widespread application in biosensors construction. The scFv fragments include one light chain and one heavy chain with a molecular weight of 30 kDa, with smaller size compared with whole antibody and low variability, the scFv fragments are brilliant for antigen capture [84]. The merits of the antibody-antigen reaction are high specificity, reversible binding between surface chemical groups, suitable ratio and concentration and staged reaction. The special properties of antibody-antigen reaction make antibody-based electrochemical biosensors being one of the most versatile and available detection tools for respiratory virus. The antibody-based electrochemical biosensors for respiratory virus detection are summarized in Table 3 .
Table 3

Antibody-based electrochemical biosensors for respiratory virus detection.

TypeLabelVirusRecognition elementLinear rangeLODAssay timeElectrochemical methodRef
Label-free/H1N1, H3N2Anti-M1 antibody/50 fg mL−10.1 hEIS[85]
/MERS-CoV, HCoVAnti-recombinant spike protein S1 antibodyMERS-CoV: 1.0 pg mL−1HCoV: 0.4 pg mL−1MERS-CoV: 0.001–100 ng mL−1HCoV: 0.01–10,000 ng mL−120 minSWV[86]
/H5N1scFv against HA H5The short fragment: 0.6 pg mL−1The long fragment: 0.9 pg mL−1The short fragment: 4.0–20 pg mL−1The long fragment: 1.0–8 pg mL−1/SWV[87]
/H1N1mAb0.5 PFU mL−11 - 104 PFU mL−1/Chronoamperometry[88]
/AIV H7H7-mAb and H7-pAb1.6 pg mL−11.6 pg mL−1 – 16 ng mL−1/LSV[89]
/H1N1Goat anti-influenza A antibody113 PFU mL−110 – 104 PFU mL−130 minDPV[90]
/Influenza virusAnti-M1 antibody1 fg mL−1 in saliva buffer/5 minEIS[91]
/H5N1, H1N1mAb against the HA proteinsH5N1: 9.4 pMH1N1: 8.3 pM25–500 pM1 minChronoamperometry[92]
/H1N1Anti-H1N1 antibodyPhosphate-buffered saline: 26.04 PFU mL−1diluted saliva: 33.11 PFU mL−110–104 PFU mL−1/EIS[93]
Label-basedMNPH9N2Anti-M2 antibody8-128 HAU8 HAU160 sChronoamperometry[94]
HRPH1N1, H5N1 and H7N9Anti-H1N1, H5N1 and H7N9 antibodies1 pg mL−1 – 10 ng mL−11 pg mL−1/Amperometry[95]
MNPH5N1Anti-H5N1 antibody0.0025–0.16 HAU0.0022HAU in 6 μL/CV[96]
HRPH1N1Anti-influenza A HA antibody/5 PFU mL−1 for saliva samples6 minEIS[97]
MNPH7N9mAb and biotinylated antibody0.011 ng mL−10.02–50 ng mL−11.5 hLSV[98]
Fluorescence MNPH7N9mAb and pAb7.8 fg mL−10.01–1.5 pg mL−1/LSV[99]
MNPH7N9mAb and rabbitderived pAb6.8 pg mL−10.01–20 ng mL−1/LSV[100]
Antibody-based electrochemical biosensors for respiratory virus detectioene">n. According to different antibodies application, usually mimicking ELISA, the antibody-based electrochemical biosensors consist the following patterns: standard (non-competitive), competitive direct, competitive indirect and sandwich. Generally, the specific antibodies are immobilized on the transducer surface in the respiratory virus detection, heene">nce staene">ndard (non-competitive) aene">nd saene">ndwich are the most used aene">ntibody formats in the n class="Species">respiratory virus detection with electrochemical biosensors. Competitive direct and competitive indirect are less commonly used, because respiratory viruses are usually small-sized, and difficult to be attached on the electrode surface. Furthermore, depending on if the labels are used, the antibody-based electrochemical biosensors could be divided into label-free immunosensors and label-based immunosensors.

Label-free Immunosensors

Standard is the representative antibody format in label-free immunosensors. The virus particles are captured by the antibodies modified electrode, generating the properties change of sensing interface. The signals could be detected directly with the electrochemical workstation. Label-free electrochemical biosensors are the fastest and simplest with high selectivity and non-cross-reactivity, widely used in the rapid and stable monitoring of respiratory viruses. EIS is the most commoene">nly used electrochemical techene">niques iene">n the label-free immuene">noseene">nsors, the chaene">nge from before aene">nd after biene">ndiene">ng to the targets are directly traene">nsferred iene">nto the chaene">nge of the iene">nterfacial impedaene">nce or the chaene">nge iene">n charge traene">nsfer resistaene">nce to electroactive probe dissolved iene">n electrolyte. n class="Gene">Nidzworski et al. [91] employed the boron-doped diamond (BDD) electrode functionalized with polyclonal anti-M1 antibodies for influenza virus detection. The BBD electrode was dealt with 4-aminobenzoic acid for forming self-assembled monolayer (SAM), then anti-M1 antibodies could be immobilized on the SAM. Hence, the M1 protein was captured onto the BBD electrode, of which changed the impedance spectra. The electrochemical biosensor has a LOD of 1 fg mL−1 M1 protein in saliva buffer within 5 min, per sample which corresponds to 5–10 virus particles. Besides, the assay has been verified by applying into different strains of influenza A virus. Meanwhile, as label-free electrochemical biosensors need more simple sensing protocol, they have been integrated with portable devices. Singh et al. [88] reported a novel label-free RGO-modified electrochemical immunosensor, cooperated with a microfluidic platform for influenza A H1N1 virus detection (Fig. 5 ). The three microelectrodes were fabricated on the glass substrate, then modified with RGO and mAb, and encapsulated with a polydimethylsiloxane (PDMS) microchannel finally. The amino groups on antibodies could form the direct linkage with amounts of carboxyl groups on RGO surface in absence of linker or spacer. Moreover, the large surface area of RGO presents lots of defects and electroactive sites, hence improving the sensitivity. The microfluidic label-free immunosensor presented excellent linear range of 1 to 104 PFU mL−1 and improved LOD (0.5 PFU mL−1), exhibiting the potential of being handheld multianalyte sensing devices for clinical diagnosis. Label-free methods do not integrate any amplification step which could limit their sensitivity.
Fig. 5

Schematic illustration of the microfluidics-integrated electrochemical immunosensing chip coated with RGO, followed by antibody immobilization using EDC/NHS coupling for the detection of influenza virus H1N1. Reproduced with permission from Ref. [88].

Schematic illustration of the microfluidics-integrated electrochemical immunosensing chip coated with RGO, followed by aene">ntibody immobilizatioene">n usiene">ng EDC/n class="Gene">NHS coupling for the detection of influenza virus H1N1. Reproduced with permission from Ref. [88].

Label-based immunosensors

Sandwich is the common antibody format in the respiratory virus detection with label-based immuene">noseene">nsors. The detected aene">ntigeene">n is saene">ndwiched betweeene">n two aene">ntibodies, one of which are attached on the traene">nsducer surface, called capture aene">ntibody. The other one is the detection aene">ntibody, which is usually labeled with eene">nzyme, naene">nomaterials or n class="Chemical">biotin, it can directly measure the amount of antigen. The dual-recognition consolidate the specificity of the biosensors and own better label availabilities. The pAb and mAb are the most frequently used antibody combination in the sandwich-based immunosensors. Owing to the capture antibody will be attached to the electrode, the multi-site binding of antibody and antigen is restricted, so if pAb served as capture antibody, the advantage of high affinity cannot be exerted well. In addition, some pAb may occupy the epitope of mAb, resulting in less binding amount of detection antibody. Therefore, the mAb is often as capture antibody, and pAb is as detection antibody. For instance, Wu et al. [99] according to the ELISA designed the ultrasensitive electrochemical biosensors for H7N9 virus counting. The microelectrode array was modified with Au NPs and mAb, the MNPs decorated with Fe3O4 nanoparticles and quantum dots were incubated with pAb and ALP, forming bifunctional fluorescence magnetic nanospheres (bi-FMNs). The fact that pAb could conjugated with modified MNPs was supported by the color change of the fluorescence. Firstly, a single virus could be separated from the complex samples by one bi-FMNs at most, which is controllable by the proportion of bi-FMNs to virus concentration. Then abundant complexes were transferred into the electrolyte, captured by the mAb modified microelectrode assay. Because the ALP on the bi-FMNs can catalyze the dephosphorylation of p-aminophenyl phosphate monohydrate (p-APP) to produce p-aminophenol (p-AP), hence inducing the reduction from Ag+ to Ag0 on the sensing interface. The changes from the Ag deposition could be recorded by linear sweep voltammetry. Finally, signals are counted as “0” or “1” depending on digital analysis, the virus concentrations could be estimated through the probability of “0”. The LOD of the label-based immunosensor was 7.8 fg mL−1, which was 1–3 orders of magnitude more sensitive than previous research. Not all sandwich-based immunosensors use pAb and mAb as receptors, other bio-recognition elements are also suitable for sandwich format. Sayhi et al. [94] employed anti-Matrix protein 2 (M2) antibody attached to MNPs and fetuin modified with Au NPs for electrochemical detection of H9N2 virus, the sandwich conformation was finally separated from real samples by applying a permanent magnetic field (Fig. 6 ). After the treatment in acid solution, the sandwich conformation was destroyed, the MNPs were removed by magnet. Because Au NPs can catalyze the hydrogen ions reduction in acidic medium under an appropriate potential, the Au NPs were deposited on the electrode and generated current signals, which was also proportional to the virus titer. The proposed immunosensor displayed the linear relationship between the virus titer in range 8–128 hemagglutination unit (HAU) and cathodic current, with LOD of less than 16 HAU titer. Although the LOD is higher than already published immunosensors, the approach with short detection time leaves out pretreatment steps and overcomes the difficulty of the virus separation from the bulk phase. Generally speaking, the sandwich-based immunosensors are of high sensitivity, high specificity, whose antigen without prior purification. Undeniably, the label-based detection procedures are time-consuming and an antigen must have at least two antibody binding sites.
Fig. 6

(A) Schematic illustration of the strategy used to develop the gold nanoparticle-based chronoamperometric magneto-immunosensor for influenza virus detection. The influenza virus could be recognized by anti-Matrix protein 2 (M2) antibody modified magnetic nanomaterials (MNP) and fetuin decorated Au NPs. (B) Chronoamperometric curves obtained without influenza virus (Allantoic fluid) and with 8; 16; 32; 64 and 128 hemagglutinin Units (HAU) of the virus (upper panel). (C) Diagrams (lower panel) correspond to the response of the magneto immunoassay to various influenza virus titers ranging from 8 HAU to 128 HAU (blue) and to various concentration of non-infected allantoic fluid in 1 M HCl solution (red). SPCE: Screen-printed carbon electrode. Reproduced with permission from Ref. [94].

(A) Schematic illustration of the strategy used to develop the gold naene">noparticle-based chronoamperometric magene">neto-immuene">noseene">nsor for n class="Species">influenza virus detection. The influenza virus could be recognized by anti-Matrix protein 2 (M2) antibody modified magnetic nanomaterials (MNP) and fetuin decorated Au NPs. (B) Chronoamperometric curves obtained without influenza virus (Allantoic fluid) and with 8; 16; 32; 64 and 128 hemagglutinin Units (HAU) of the virus (upper panel). (C) Diagrams (lower panel) correspond to the response of the magneto immunoassay to various influenza virus titers ranging from 8 HAU to 128 HAU (blue) and to various concentration of non-infected allantoic fluid in 1 M HCl solution (red). SPCE: Screen-printed carbon electrode. Reproduced with permission from Ref. [94].

Other affinity biosensors

Except for nucleic acid, antibodies, there have been other kinds of bio-recognition element presented in the electrochemical biosensors for respiratory virus detectioene">n: n class="Gene">fetuin A, peptides and glycan.

Fetuin A

Fetuin A is a kind of glycoprotein derived from fetal calf serum, every n class="Gene">fetuin A has terminal 12–14 sialic acid residues. Fetuin A is diffusely cooperated with peanut agglutinin (PNA) lectin [101]. Owing to the fact that fetuin A could combine with different influenza virus via NA protein, it could serve as bio-recognition element in influenza A detection with lower cost and high selectivity. For example, Anik et al. [102] developed an electrochemical biosensor based on graphene-Au hybrid nanocomposite for recognizing influenza A. The biosensor utilized fetuin A as bio-recognition element: Firstly, the fetuin A was immobilized onto the electrode surface for NA protein capture, and PNA specific binding sites would display after the interaction, then washed the NA protein on the SPEs, because the sugars from fetuin A have been masked by NA protein, the PNA lectin hence could bond to the N-acetylgalactosamine galactose-(Gal β1-3GalNAc). The resistance changes on the electrode surface were recorded by electrochemical impedance spectroscopy. The biosensor has a linear range between 10−8 U mL−1 and 10−1 U mL−1, which has been applied into H9N2 detection in real samples. Besides, the biosensor's LOD of 10−8 U mL−1 is lower than LOD values of ELISA assays relying on NA activity or antibody-antigen interaction.

Peptides

Easily being designed and prepared, peptides are theoretically favorable for aene">ntigeene">ns aene">nd drugs measuremeene">nt. Previous studies showed the peene">ntan class="Chemical">peptide Ala–Arg–Leu–Pro–Arg is available to combine with the binding sites of all kinds of HA protein [103]. Surely, the corresponding N-stearoyl derivatives and carbosilane-based dendrimers could inhibit the activity of seasonal H1N1 and H3N2 except for H1 and H3 HAs [104]. Therefore, Matsubara et al. [105] modified the BDD electrode with a sialyloligosaccharide receptor-mimic peptide, the density of the peptide and dendrimer generation terminated on the electrode could affect the probability that the respiratory virus were captured by the functionalized electrode. Electrochemical impedance spectroscopy was used for the virus identification according to the resistance variation. The proposed electrochemical biosensor could isolate the avian virus particles from H5N3, H7N1 and H9N2, presenting the satisfactory specificity and practicability. Faced with the antigenic drift and new subtypes of the respiratory, the designed peptide dendrimer has great potential as antibodies candidates. Besides, Tara Bahadur et al. [106] developed an electrochemical biosensor toward influenza virus particles based on the selection of electrosensitive peptide ligand in vitro (Fig. 7 ). The electrochemically sensitive 3,4-ethylenedioxythiophene (EDOT) moiety was modified with a peptide ligand then worked as electro-polymerization monomers. In the scheme, the real samples were mixed with the solution including the peptide ligand-EDOT monomers. The presentation of the virus particles would influence the electro-polymerization of the peptide ligand-EDOT monomers on the electrode surface, consequently affecting the efficiency of the electron transfer between the redox molecules and the electrode. The LOD of the detection system was found to be 12.5 μg mL−1, which is 2.5-fold more sensitive than the dot blot immune assay or conventional rapid diagnosis test. The “turn-on system”: the current increases when there is influenza virus doesn't need negative control measurement for practical application.
Fig. 7

Strategy for detection of influenza virus using an electrosensitive peptide ligand. Reproduced with permission from Ref. [106].

Strategy for detection of influenza virus usiene">ng aene">n electroseene">nsitive n class="Chemical">peptide ligand. Reproduced with permission from Ref. [106].

Glycans

Glycans are a kiene">nd of complicated n class="Chemical">carbohydrates which usually form the dense sugar layer on the numerous cell surface. The cell-cell recognition and host-pathogen interactions are both realized through the glycan coat [107]. For instance, in the influenza A virus infection process, HA protein interact with host glycans terminated in sialic acid firstly. Compared with DNA and proteins, the glycans could store more code information as there are over 10 million glycan molecules on the cell surface [108]. The function of glycan bio-recognition has been applied into the development of the diagnosis approaches and vaccines design. Hushegyi et al. [109] utilized glycans as natural viral receptors in the impedimetric biosensor design for inactivated, but intact influenza virus H3N2 detection. The gold electrode surface functionalized with thiols bearing oligoethylene glycol moieties formed a mixed SAM layer (self-assembled monolayer) for glycan immobilization. The biosensor could detect at least 13 virus particles in 1 μL real samples, revealing a LOD of 5 aM. It was the lowest LOD for influenza virus detection compared with published glycan-based electrochemical biosensors at that time. However, the application of glycans is limited to a few respiratory viruses, and the affinities of glycans need to be proved further.

Future challenges

The global health crisis of the COVID-19 paene">ndemic defines the greatest challeene">nge the world is faced with at the preseene">nt time, with the most importaene">nt focus being the seene">nsitivity aene">nd specificity eene">nhaene">ncemeene">nt, to which curreene">nt innovations should pay atteene">ntion for early detection of n class="Disease">COVID-19 disease or future pandemic strains. Simple, low cost, easy to operate and fast-response electrochemical biosensors exactly meet the potential to be integrated into POCTs for COVID-19 diagnosis. Although efforts have been put to design electrochemical biosensors for COVID-19 diagnosis, few portable electrochemical biosensors were produced. There still exists numerous challenges to move from the bench to their use in POCTs.

The sample preparation

A large number of interferers, such as proteins, antibodies, DNA, cells, etc. in various complex samples caene">n disrupt the detection process of the targets. The sample pretreatmeene">nt requiremeene">nt before aene">nalysis to exclude the influeene">nce of matrix effects is a main impact factor for specificity aene">nd seene">nsitivity improvemeene">nt. So how to isolate the viruses from the real samples is the key step during the sample preparation. The viruses usually only occupy a small volume of the whole volume, so there is always a small possibility for virus to be captured by the receptor on the traene">nsducer wheene">n the whole volume is very small. Obviously, the viruses couldene">n't be conceene">ntrated without aene">ny preparation. At preseene">nt, the use of magene">netic naene">noparticles aene">nd selecting most perfect bio-recogene">nition elemeene">nts are the two main approaches for solving the problem. For example, the specific receptors are coupled with Mn class="Gene">NPs to capture and separate the targets from complex sample; the association constant of the antibody should be maximized during the antibody selection.

The immobilization of the bio-recognition elements

The immobilization process of the bio-recognition elements is vital to reduce mistakes and errors during virus detection. Currently, the key recognition interaction in many electrochemical biosensors is often irreversible, hence the initial properties couldn't be restored after every detection, the biosensor part should be disposable, which is the rule for medical consumables. Moreover, during the modification process, the affinity of bio-recognition elements is related to the immobilization process, and the efficiency of the immobilization can influence that of detection. How to ensure that the receptor distribution on the electrode surface is uniform and roughly the same between the same batch, without affecting the efficiency of receptor recognition is the question for most portable electrochemical biosensors to be considered.

The miniaturization of the system

Basically, a whole research process of the available electrochemical biosensor-based POCTs includes: optimization of the operation condition, integrating a sensing chip with micro-/nanoelectronics, and interfacing of the sensing platform with a wireless device, transforming into on-site analytical devices, big data analytics and result output [79]. The development of the whole smart sensing system is a multidisciplinary project and need public−private participation. POCTs aim to be carried out close to the patients, the sample volumes, reageene">nt use, traene">nsducer aene">nd power all need to be miniaturized without reducing the curreene">nt deene">nsity aene">nd traene">nsfer characteristics, aene">nd the whole system needs to be wearable aene">nd wireless. Most of the electrochemical bioseene">nsors own excelleene">nt properties aene">nd could easily be miniaturized aene">nd theene">n should be associated with the whole system.

The reproducibility and stability

To guarantee the accuracy of the POCTs, the reproductivity and stability of electrochemical biosensors should be improved dramatically. In a whole fabrication process of the electrochemical biosensor, there are many influencing factors: environmental conditions, operating procedures, performance of the instrument. Among these, the most difficult to be automatized is the maene">nual steps for the preparatioene">n of the bioseene">nsor. Besides, the stability of the POCTs is also supposed to be excelleene">nt, becn class="Chemical">ause the storage conditions are often difficult to achieve at the laboratory level, before its use.

Environment-friendly and the cost

The environment-friendly and cheap POCTs are often the last hurdle before a biosensor is implemented for POCTs. With the development of material science, numerous nanomaterials have been introduced into the electrochemical biosensors. The potential health impacts and environmental pollution from the widespread usage of the nanomaterials could not be ignored. Besides, the cost of the POCTs should be affordable for primary medical institutions. Therefore, the materials used in the equipment manufacturing process should be as low-cost as possible meanwhile without affecting the performance. Now, paper-based microfluidic devices are relatively eene">nvironmeene">ntally frieene">ndly aene">nd low-cost, therefore having beeene">n the most frequeene">ntly used substrate platform. n class="Chemical">Carbon-based nanomaterials are also the excellent green alternative with less pollution. It is evident that great effort is still required to overtake above challenges in the portable electrochemical biosensor design for SARS-CoV-2 POCTs detectioene">n, but we still believe that with the iene">ncreasiene">ng treene">nd iene">n multidiscipliene">nary iene">ntegratioene">n, the ideal POCTs for n class="Disease">COVID-19 diagnosis will be produced just around the corner.

Conclusion

Overall, we have presented the common detecting targets of the respiratory viruses, key parts of electrochemical bioseene">nsors desigene">n aene">nd discussed differeene">nt bio-recogene">nitioene">n elemeene">nt-based electrochemical bioseene">nsors. Future challeene">nges iene">n electrochemical bioseene">nsors for n class="Species">respiratory virus determination, especially for application in POCTs are discussed. In every section, several examples were explained, and all the analytical performance of recent developments are gathered in tables with their detection limits. We believe that the advancements from core technologies at multiple-disciplines areas will offer great potential of a next generation of highly specific, sensitive, selective, and reliable electrochemical biosensors for respiratory virus detection. More urgently, the developed electrochemical biosensors could make for better surveillance and control of SARS-CoV-2 infection in populations.

Declaration of competing interest

The authors declare that they have no known competing finaene">ncial interests or personal relationships that could have appeared to influeene">nce the work reported in this paper.
  61 in total

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Authors:  Inae Lee; Seong-Eun Kim; Jiho Lee; Deok Ha Woo; Seok Lee; Heesoo Pyo; Chang-Seon Song; Joonseok Lee
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Review 5.  Graphene-based electrochemical biosensors for monitoring noncommunicable disease biomarkers.

Authors:  S Taniselass; M K Md Arshad; Subash C B Gopinath
Journal:  Biosens Bioelectron       Date:  2019-01-29       Impact factor: 10.618

6.  Influenza Virus.

Authors:  Edward C Hutchinson
Journal:  Trends Microbiol       Date:  2018-06-13       Impact factor: 17.079

7.  Neutralizing antibody response and SARS severity.

Authors:  Mei-Shang Ho; Wei-Ju Chen; Hour-Young Chen; Szu-Fong Lin; Min-Chin Wang; Jiali Di; Yen-Ta Lu; Ching-Lung Liu; Shan-Chwen Chang; Chung-Liang Chao; Chwan-Chuen King; Jeng-Min Chiou; Ih-Jen Su; Jyh-Yuan Yang
Journal:  Emerg Infect Dis       Date:  2005-11       Impact factor: 6.883

Review 8.  Middle East respiratory syndrome.

Authors:  Alimuddin Zumla; David S Hui; Stanley Perlman
Journal:  Lancet       Date:  2015-06-03       Impact factor: 79.321

9.  Ultrasensitive detection of influenza viruses with a glycan-based impedimetric biosensor.

Authors:  András Hushegyi; Dominika Pihíková; Tomas Bertok; Vojtech Adam; René Kizek; Jan Tkac
Journal:  Biosens Bioelectron       Date:  2015-12-30       Impact factor: 10.618

Review 10.  A review on impedimetric immunosensors for pathogen and biomarker detection.

Authors:  J Leva-Bueno; Sally A Peyman; P A Millner
Journal:  Med Microbiol Immunol       Date:  2020-04-03       Impact factor: 3.402

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  11 in total

1.  Nanomaterials-Based Sensors for Respiratory Viral Detection: A Review.

Authors:  Gowhar A Naikoo; Tasbiha Awan; Israr Ul Hassan; Hiba Salim; Fareeha Arshad; Waqar Ahmed; Abdullah M Asiri; Ahsanulhaq Qurashi
Journal:  IEEE Sens J       Date:  2021-05-31       Impact factor: 4.325

2.  Point-of-Care Based Electrochemical Immunoassay for Epstein-Barr Virus Detection.

Authors:  Miao Yu; Ming Liu; Yuan Li
Journal:  J Anal Methods Chem       Date:  2022-05-30       Impact factor: 2.594

3.  Teaching an old dog new tricks: A lipid membrane-based electric immunosensor for real-time probing of the spike S1 protein subunit from SARS-CoV-2.

Authors:  Alina Asandei; Loredana Mereuta; Irina Schiopu; Yoonkyung Park; Tudor Luchian
Journal:  Proteomics       Date:  2021-10-07       Impact factor: 5.393

4.  Rapid and sensitive detection of viral particles by coupling redox cycling and electrophoretic enrichment.

Authors:  Derrick Butler; Aida Ebrahimi
Journal:  Biosens Bioelectron       Date:  2022-03-18       Impact factor: 12.545

Review 5.  Recent trends and advancements in electrochemiluminescence biosensors for human virus detection.

Authors:  Ebtesam Sobhanie; Foad Salehnia; Guobao Xu; Yalda Hamidipanah; Shayesteh Arshian; Ali Firoozbakhtian; Morteza Hosseini; Mohammad Reza Ganjali; Saima Hanif
Journal:  Trends Analyt Chem       Date:  2022-07-05       Impact factor: 14.908

6.  Development of a Biosensor Based on Angiotensin-Converting Enzyme II for Severe Acute Respiratory Syndrome Coronavirus 2 Detection in Human Saliva.

Authors:  Geisianny Moreira; Lisseth Casso-Hartmann; Shoumen Palit Austin Datta; Delphine Dean; Eric McLamore; Diana Vanegas
Journal:  Front Sens (Lausanne)       Date:  2022-07-13

Review 7.  Portable Electrochemical Biosensors Based on Microcontrollers for Detection of Viruses: A Review.

Authors:  Muhammad Afiq Abdul Ghani; Anis Nurashikin Nordin; Munirah Zulhairee; Adibah Che Mohamad Nor; Mohd Shihabuddin Ahmad Noorden; Muhammad Khairul Faisal Muhamad Atan; Rosminazuin Ab Rahim; Zainiharyati Mohd Zain
Journal:  Biosensors (Basel)       Date:  2022-08-22

Review 8.  Utilizing Electrochemical-Based Sensing Approaches for the Detection of SARS-CoV-2 in Clinical Samples: A Review.

Authors:  Nor Syafirah Zambry; Godwin Attah Obande; Muhammad Fazli Khalid; Yazmin Bustami; Hairul Hisham Hamzah; Mohd Syafiq Awang; Ismail Aziah; Asrulnizam Abd Manaf
Journal:  Biosensors (Basel)       Date:  2022-06-29

Review 9.  The role of electrochemical biosensors in SARS-CoV-2 detection: a bibliometrics-based analysis and review.

Authors:  Shudan Mao; Li Fu; Chengliang Yin; Xiaozhu Liu; Hassan Karimi-Maleh
Journal:  RSC Adv       Date:  2022-08-12       Impact factor: 4.036

Review 10.  Point-of-Care Testing-The Key in the Battle against SARS-CoV-2 Pandemic.

Authors:  Florina Silvia Iliescu; Ana Maria Ionescu; Larisa Gogianu; Monica Simion; Violeta Dediu; Mariana Carmen Chifiriuc; Gratiela Gradisteanu Pircalabioru; Ciprian Iliescu
Journal:  Micromachines (Basel)       Date:  2021-11-27       Impact factor: 2.891

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