Literature DB >> 33224441

Recent Development of Aptasensor for Influenza Virus Detection.

Soo Min Kim1, Jinmyeong Kim1, Seungwoo Noh1, Hiesang Sohn1, Taek Lee1.   

Abstract

In nowadays, we have entered the new era of pandemics and the significance of virus detection deeply impacts human society. Viruses with genetic mutations are reported nearly every year, and people have prepared tools to detect the virus and vaccines to ensure proper treatments. Influenza virus (IV) is one of the most harmful viruses reporting various mutations, sub-types, and rapid infection speed for humans and animals including swine and poultry. Moreover, IV infection presents several harmful symptoms including cough, fever, diarrhea, chills, even causing death. To reduce the IV-induced harm, its proper and rapid detection is highly required. Conventional techniques were used against various IV sub-types including H1N1, H3N2, and H5N1. However, some of the techniques are time-consuming, expensive, or labor-intensive for detecting IV. Recently, the nucleic acid-based aptamer has gained attention as a novel bioprobe for constructing a biosensor. In this review, the authors discuss the recent progress in aptasensors for detecting IV in terms of an electrochemical and an optical biosensor. © The Korean BioChip Society and Springer 2020.

Entities:  

Keywords:  Aptamer; Biosensor; Electrochemical; Influenza virus; Optical

Year:  2020        PMID: 33224441      PMCID: PMC7670017          DOI: 10.1007/s13206-020-4401-2

Source DB:  PubMed          Journal:  Biochip J        ISSN: 1976-0280            Impact factor:   3.494


Introduction

Globalization leads to economic growth in intercontinental commerce. People typically believe that globalization simultaneously provided prosperity to develop as well as developing countries. Human interactions between countries bring about explosive growth in the tourism industry that boosts the economic growth of many countries. However, though globalization brings about economic growth, it also leads to new rises in various infectious diseases and pathogenic viral agents like severe acute respiratory syndrome coronavirus (SARS-CoV)1,2, Middle East respiratory syndrome coronavirus (MERS-CoV)3, coronavirus disease 2019 (COVID-19)4,5, Zika virus6.7, and others8–10. Among them, influenza virus (IV) is extremely important in that it usually infects the host, causing the “flu” and presents with several symptoms including cough, high fever, diarrhea, and sore throat11,12. IV undergoes several mutations and easily infects humans, swine, birds, and bats almost every year13–15. Each different infected species of a host can infect other specie hosts, enabling human-to-animal spread and vice versa. Phylogenetically, IV is classified as a single-stranded negative-sense RNA, and can be divided into four types including influenza A (IAV), B (IBV), C (ICV), and D (IDV)16,17. The virus can be classified into highly pathogenic influenza (HPI) and low pathogenic influenza (LPI) based on the infectious ability. Among them, influenza A virus is highly infectious and causes economic, health, and ethnic problems. Influenza A viruses genetically encode for several proteins such as polymerase, hemagglutinin (HA), nucleoprotein, neuraminidase (NA), membrane proteins, and non-structural proteins. Especially, the envelope proteins, HA and NA, can be used to determine the influenza A virus subtype18. HA is an antigenic glycoprotein found on the surface of the IV that help the binding of IV to sialic acid residues on the surface of the epithelial cells of organisms. So far, sixteen types of HA proteins have reported in the IAV, IBV, ICV and IDV. NA found on the surface of IV that mediated the virus binding to the cell to be released from the host cell. NA acted as the cleavage of sialic acid groups from glycoproteins. And, nine types of NA proteins have reported in the IAV, IBV, ICV and IDV. Among them, eight types of IV HA proteins (H1, H2, H3, H5, H6, H7, H9, and H10) can infect humans and cause several pandemics19,20. For example, the outbreak of IV H1N1 resulted in the Spanish flu in 1918 that had between 50 and 100 million victims21. In 1968, IAV H3N2 infected 500,000 victims in the Hong Kong area22. More recently, the 2009 swine flu pandemic was cause by H1N1, and around 400,000 people were victimized23. Moreover, avian influenza H5N1 can also infect people, making thousands of victims and economic damage in many countries24. Conventionally, there are two types of methods have been used to detect IV. Immunosensors like the enzyme-linked immunosorbent assay (ELISA) and genetic biosensor including the reverse transcriptase polymerase chain reaction (RT-PCR) method were widely used25–28. The antibody-based ELISA technique provided high accuracy and generality. Based on antigen-antibody recognition, the ELISA technique is regarded as a general detection tool for IAV surface antigen detection29. However, it required large amounts of expensive antibodies, a long detection time, and a well-trained researcher. In the case of RT-PCR, this technique provides more sensitivity and selectivity compared to ELISA, and it can determine the genetic information. However, the PCR-based method requires an extra purification step and expensive analytical devices for detecting IV27,29,30. Today, aptamer-based detection methods have been suggested to overcome these current problems including expensive antibody production cost, ethnical problem, fast manufacturing cost31,32. The aptamer is composed of several nucleic acid or peptide sequences that can bind with high affinity to specific targets like proteins, small molecules, chemicals, and nucleic acids33. These non-canonical nucleic acids and peptides have been applied to therapeutic agents in pharmaceutical science34 and detection elements for various biosensors35. The early stage of aptamer research was reported by Tuerk, Gold, Ellington, and Szostak through in vitro systematic evolution of ligands by exponential enrichment (SELEX)36. Consequently, several methods were developed to obtain RNA or DNA aptamers37. Recently, the cell-based in vivo selection method38 and graphene-based selection method39 were reported. When the target binds to the aptamer, the 3D ligand structure between target and aptamer flexibly changes to form a thermodynamically stable structure40. Aptamers have been studied since 1980 to find several aptamers for understanding the binding mechanism at a molecular level, treating the intractable disease, and detecting the specific target using aptamer-target interaction41,42. Aptamers have several advantages compared to antibodies: 1) cheap production cost, 2) small molecular size, 3) easy-to-tailor for functionalization, 4) ability to tune binding affinity, 5) the ability to chemically synthesize, and 6) fast manufacturing speed43 (Table 1).
Table 1

Comparison between aptamer and antibody for IV detection biosensor construction.

Aptamer Antibody
Manufacture of Bioprobe Chemical Synthesis Biological Synthesis
Stability Less than Antibody Stable
Production Time ~ 8 weeks ~ 6 months
Modification For Biosensor Fabrication Easy to modification Signal reporter, linker, receptorDifficult to chemical modification
Bioprobe Size Small (<30 KDa)Large (~150 KDa)
Comparison between aptamer and antibody for IV detection biosensor construction. Based on these advantages, several groups tried to fabricate a biosensor to detect cancers44, bacteria45, small molecules46, diseases47 and viruses48. In particular, detecting highly infectious viruses requires fast manufacturing speed and high throughput screening49. The chemically synthesized aptamer can be a powerful agent for constructing a virus biosensor50. Thus, aptasensor fabrication can lead to IV biosensor development. In this review, we briefly discuss the recent trends in aptasensor for detecting IV virus using an optical method widely used in the field and an electrochemical method that is advantageous in miniaturization, portability, easy-to-handle it, user-friendly interface and has a very high sensitivity51.

Electrochemical-based Aptasensor for IV Detection

In virus detection, diagnostic tools need to be accurate, fast, and specific. To ensure wide use and mass production, it must be easy-to-use and low-cost51. In light of these aspects, electrochemical detection methods are very attractive tools for virus detection. Electrochemical biosensors require fewer samples and are highly sensitive. In addition, it is easy to downsize the device, and it can be manufactured at a low cost52. Due to the above-mentioned advantages, research on the electrochemical biosensor using an aptamer has been actively conducted51. A typical electrochemical aptasensor research method screens aptamers using SELEX and selects aptamers with a low dissociation constant (KD) among the proposed aptamer candidates. The selected aptamer is immobilized on a substrate to bind with the target virus. At this stage, according to the type of transducer, it is analyzed by checking the signal change using amperometric53, voltammetric54, potentiometric55, or impedimetric methods 56. Notably, Bhardwaj’s group conducted SELEX using recombinant influenza A mini-HA protein, and eleven aptamer sequences were obtained as a result57. KD values were determined for each aptamer sequence using qPCR. It was confirmed that V46 and V57 showed low KD values of 19.2 nM and 29.6 nM, and they showed affinities similar to antibodies. Thereafter, ITO glass was immersed in a solution containing NH4OH, H2O2, and H2O at 60°C to form a hydroxyl group on the surface. The modified ITO was reacted with 1% polyethylenimine (PEI) solution for two hours and before incubating with a negatively charged V46 aptamer. To remove the physically adsorbed aptamer, it was immersed in ultrapure water and treated with 1% BSA solution to block the surface activation site (Figure 1(A)). Figure 1(B) shows that the fabricated aptasensor was subjected to cyclic voltammetry (CV) and differential pulse voltammetry (DPV) in 1X PBS (pH 7) containing 5 mM [Fe(CN)6]3-/4- and 0.5 M KCl. CV was performed to test the binding affinity of the V46 and V57 aptamers, and the limit of detection (LOD) of the aptasensor was determined using DPV. As a result, the LOD of the produced aptasensor was 3.7 PFU/mL and it showed high reproducibility (Figure 1(D)). In addition, it showed high selectivity by reacting with H1N1 subtypes and not with other influenza viruses (Figure 1(C)).
Figure 1

Aptasensor fabrication. (A) Aptasensor fabrication process. (B) Cyclic voltammogram fabrication step. (C) Qualitative specificity of aptamer V46 against several H1N1 subtypes. (D) Linear calibration curve in various H1N1 concentrations (101-104 PFU) (Reproduced with permission from [79], published by Elsevier, 2019).

Aptasensor fabrication. (A) Aptasensor fabrication process. (B) Cyclic voltammogram fabrication step. (C) Qualitative specificity of aptamer V46 against several H1N1 subtypes. (D) Linear calibration curve in various H1N1 concentrations (101-104 PFU) (Reproduced with permission from [79], published by Elsevier, 2019). Meanwhile, research into improving the performance of an electrochemical biosensor using nanomaterials is actively being conducted58–60. The specific surface area was increased by insituating the nanomaterial to the substrate surface. The bioprobe immobilized to the surface increases the chance of recognizing analyte and increases the intensity of the redox current, thus increasing sensitivity. In addition, carbon nanotubes, graphene, and gold nanomaterials, which are used in electrochemical biosensors, have excellent electrical properties61. An example of improving the performance of an electrochemical sensor using nanomaterials is a recently reported study by Lee’s group54. Figure 2(A) shows a schematic image of this study. The aptamer sequence that selectively binds the HA protein of H5N1, the DNAzyme sequence that generates an electrochemical signal, and the sequence containing the thiol group so that it can be immobilized on the substrate, are composed of a 3 way junction (DNA 3WJ) and used as a bio probe. The signal was amplified using porous gold nanoparticles (pAuNP) with a diameter of 60–110 nm. Figure 2(B) showed the schematic diagram of DNA 3WJ and the results of TBM-PAGE performed to confirm that DNA 3WJ was correctly formed. Cysteamine, pAuNP, and DNA 3WJ were applied to the prepared electrode, immobilized using a self-assembly method, and treated with 1 mM hemin. The hemin molecule has a single guanine sequence of the DNAzyme sequence, a G-quadruplex DNA structure, and activity similar to peroxidase. The fabrication process was confirmed using an atomic force microscope (AFM) and CV, and the electrode immobilized with pAuNP was confirmed to have higher electrical activity than the bare electrode. The performance of the sensor was confirmed by CV and had a linear range of 1 pM to 100 nM HA protein. The limit of detection was determined at 1 pM in chicken serum (Figure 2(C)). This study was conducted in chicken serum and is expected to be used in the field because it is label-free.
Figure 2

(A) Schematic and photo image of aptasensor. (B) Schematic diagram of DNA structure and TBM PAGE results of DNA 3WJ. (C) Cyclic voltammogram of HA protein’s various concentration (Reproduced with permission from [76], published by Elsevier, 2019).

(A) Schematic and photo image of aptasensor. (B) Schematic diagram of DNA structure and TBM PAGE results of DNA 3WJ. (C) Cyclic voltammogram of HA protein’s various concentration (Reproduced with permission from [76], published by Elsevier, 2019). So far, we have examined the influenza virus detection method using amperometric and voltammetric methods. In addition, impedicmetric methods are also widely used to measure the change in charge transfer resistance (Rct) as a biorecognition event occurs on the working electrode surface. In the study by Bai’s group, influenza virus H1N1 was detected using the impedimetric method described above62. After selecting a candidate aptamer using SELEX, KD was determined by using an enzyme-linked oligonucleotide assay (ELONA) method, and LOD was confirmed. As a result, experiments were conducted using A20S and A8S8 with the lowest KD, and the LOD of direct ELONA were 2 ng/µL and 0.3 ng/µL. Next, an electrochemical impedance spectroscopy (EIS) aptasensor was fabricated. After polishing the gold electrode, CV was performed at a rate of 0.1 V/s between -0.2 and 1.2 V in 0.5 M H2SO4. The HS-A20S solution was mixed with 100 mM TCEP to incubate the gold electrode for 12 h. It was washed with PBS, incubated in 1 mM MCH aqueous solution for 4 h, and washed three times with PBS. The manufacturing steps were confirmed through EIS. EIS was measured in PBS containing 1 M NaCl, 5 mM K3Fe(CN)6, and 5 mM K4Fe(CN)6. The frequency range was 0.03 Hz to 200 kHz, and the amplitude was 10 mV. As a result, both increases and decreases in Rct were observed when the biorecognition event of the target and aptamer occurred, and the researchers explained these using two mechanisms. As the first factor, Rct increases because the aptamer does not fold upon non-specific binding of the target and the aptamer. Conversely, the aptamer folds upon specific binding with the target, resulting in more space for electron transport. Therefore, Rct decreases. The above-mentioned hypothesis was verified using a B virus with low affinity and H1N1 with high affinity (Figure 3(A), (B)). As a result, the LOD of the EIS aptasensor was improved by approximately 300 times compared to the ELONA method, which was 0.9 pg/µL. Figure 3 (C) shows the selectivity test of this sensor. It was confirmed that the signal decreased when binding with H1N1, but it increased when binding to other substances.
Figure 3

Schematic illustration of detection process. (A) Nyquist plots of the sensor against H1N1 (B) and B viruses. (C) Selectivity of this sensor (Reproduced with permission from [84], published by Elsevier, 2018).

Schematic illustration of detection process. (A) Nyquist plots of the sensor against H1N1 (B) and B viruses. (C) Selectivity of this sensor (Reproduced with permission from [84], published by Elsevier, 2018). A method of using an interdigitated electrode (IDE) to increase the impedance signal is also frequently used. The IDE is an electrode designed to engage two or more electrodes. It has a high signal/noise ratio because it maximizes the impedance change on the surface, reduces the detection time, and minimizes the interference effect of non-target analytes in solution. Furthermore, it is compact compared to other electrode systems and has advantages like fast establishment of steady state63. Figure 4(A) shows an example of the IDE structure. The equivalent circuit when using the IDE of the above structure and the Nyquist plot before and after detection are shown in Figure 4(B). Fu’s group detected H5N1 using an enzyme catalyst, gold nanoparticles, and an IDE64. Nanocomposites were formed by coating magnetic beads (MB) with specific aptamers on H5N1 and combining concanavalin A (ConA), glucose oxidase (GOx), and gold nanoparticles. The generated complex of aptamer-coated MB, H5N1, and enzymenanocomposite were incubated to form a sandwich complex. Next, it was transferred to a glucose solution to induce an enzymatic reaction to generate gluconic acid and ionize to increase the ionic strength of the solution, thereby reducing the impedance of the IDE. This method was confirmed to have a LOD of 8×10−4 HAU (Hemagglutinin Unit) in a 200 µL sample using high enzyme catalyst efficiency and high sensitivity of electrochemical impedance to ionic strength. Since this method is flexible, it is expected to be widely used. Table 2 showed the electrochemical biosensing techniques for IV detection, which showed the target and LOD.
Figure 4

(A) Schematic illustration of used IDE and fabrication process. (B) Electrical equivalent circuit and Nyquist plot used for impedance spectra fitting (Reproduced with permission from [85], published by Elsevier, 2018).

Table 2

The electrochemical biosensing techniques discussed in this review.

BioprobeDetection MethodDetection LimitTargetRef
AptamerDPV3.7 PFU / mLH1N1 HA protein[57]
AptamerCV1 pMH5N1 HA protein[54]
AptamerEIS0.9 pg/ µLH1N1 Particles[62]
AptamerImpedimetric8× 10−4 HAUH5N1 Virus[64]
AptamerImpedimetric-H1N1 Particles[56]
AptamerDPV4.3× 10−13 MH5N1 Specific sequence[65]
AptamerDPV100 fMH5N1 HA protein[66]
AptamerAmperometric0.75 pMH7N9 cDNA[67]
(A) Schematic illustration of used IDE and fabrication process. (B) Electrical equivalent circuit and Nyquist plot used for impedance spectra fitting (Reproduced with permission from [85], published by Elsevier, 2018). The electrochemical biosensing techniques discussed in this review.

Optical-based Aptasensor for IV Detection

Optical biosensors are powerful tools to detect small molecules and real-time analytes with high sensitivity, and are low-cost analytical methods68,69. The optical biosensor works by measuring the interaction between the analyte and the probe by measuring changes in optical properties like light absorption, reflection, and emission. In addition, the discovery of nanoparticles has led to signal amplification due to the optical properties of nanoparticles, resulting in more precise biosensor development70. Detection methods like fluorescence71, colorimetric72, surface plasmon resonance73, and Raman spectroscopy74 are mainly used as optical biosensor methods for detecting viruses. Fluorescent biosensors are useful for real-time detection, and they achieve a million-time higher sensitivity and faster response than absorption by labeling the analyte or probe in advance. The fluorescent biosensor uses a fluorescent dye like a quantum dot (QD) to detect the target material by increasing or decreasing the fluorescent signal. Xu’s group labeled a QD for fluorescence signal at the DNA 3’-end, which is a sequence complementary to the aptamer to detect avian influenza H5N1. The fluorescence signal is quenched when there is no target substance, but it increases after binding to the target75. Hemagglutination unit (HAU) has a detection limit of 0.4 and a detection range of 2−1.2 to 26 /HAU 20ul−1. Pang’s group developed a method to effectively amplify the fluorescence signal and detect the influenza virus without the fluorescent dye label76. It is used to bind the aptamer to Ag2SiO2 particles and form a G-quadruplex structure when the aptamer is combined with a target. The thiazole orange molecule floating freely in solution hardly exhibits fluorescence, but the G-quadruplex structure acts as a ligand and binds. The metal-enhanced fluorescence effect by nanoparticles shows a strong fluorescence signal. It was confirmed that the developed MEF sensor had a detection limit of rHA in buffer and 3.5 ng/mL in human serum. The surface plasmon resonance biosensor utilizes the resonance phenomenon of the surface plasmon wave that occurs when light energy is absorbed from the surface of a conductive material77. Among them, a phenomenon in which local vibration occurs on the surface of a metal nanoparticle having a local surface is called a local surface plasmon resonance phenomenon (LSPR). Lee’s group developed an LSPR biosensor capable of detecting avian influenza (AIV H4N1) by making a DNA 3WJ using the multi-functional aptamer78. A schematic diagram is shown in Figure 5(A). The researchers fabricated a DNA 3WJ structure instead of using single-stranded DNA as a probe to detect H5N1. The assembled DNA 3WJ can function as a multifunctional probe capable of performing three functions through functionalization of each strand. The fabricated DNA 3WJ has an aptamer capable of binding influenza HA, a FAM dye, and a thiol group for signal amplification and surface immobilization. Selective binding of a DNA 3WJ to influenza HA was confirmed using TBM PAGE gel results in Figure 5(B). In addition, hollow Au spike-like nanoparticles were used to create the LSPR effect. The produced LSPR biosensor performance test results are shown in Figure 5(C). Performance was first tested with various concentrations of HA protein in PBS buffer and before testing in chicken serum diluted 10-fold. Both experiments confirmed the linear relationship between HA protein and LSPR intensity, and each LOD was confirmed to be 1 pM. In addition, an increase in the LSPR intensity for the HA protein was evident in the selectivity experiment, and there was little increase in the LSPR intensity between the negative controls.
Figure 5

(A) Schematic illustration of biosensor based on LSPR method. (B) Schematic diagram of DNA 3 WJ and TBM PAGE gel result of DNA 3 WJ, HA protein, and spike protein. (C) Detection of HA protein in PBS buffer and chicken serum and selectivity test (Reproduced with permission from [102], published by Elsevier, 2019).

(A) Schematic illustration of biosensor based on LSPR method. (B) Schematic diagram of DNA 3 WJ and TBM PAGE gel result of DNA 3 WJ, HA protein, and spike protein. (C) Detection of HA protein in PBS buffer and chicken serum and selectivity test (Reproduced with permission from [102], published by Elsevier, 2019). Since most of the aptamers for detecting influenza target a specific protein HA, there were no aptamers that simultaneously bind to different sites. In other words, little research has been done on aptamer-based sandwich-type virus sensors. Kim’s group recently developed immobilization-free SELEX and developed lateral flow strips that detect entire H5N2 virus particles using a pair of aptamers capable of binding to target molecules in a sandwich manner79. Figure 6(A) shows the graphene-oxide based immobilization-free screening method for developing an ssDNA aptamer capable of binding to the avian influenza virus particle. Figure 6(B) shows the GO-FRET assays for aptamer characterization. GO-SELEX without immobilization is a method in which GO is adsorbed to ssDNA labeled with FAM through π-π stacking. ssDNA capable of binding to target molecules can be separated from GO due to structural changes. The released aptamers showed fluorescence, and the adsorbed aptamers were quenched by GO. As a result, aptamers that specifically bind only to avian virus particles were characterized. A schematic diagram of the aptamer-based sandwich side flow strip biosensor was developed as shown in Figure 6(C). In addition, actual experimental results are shown according to various concentrations (from left to right: 0, 1.5 × 105, 3 × 105, 6 × 105, 1.2 × 106, 2.5 × 106, 5 × 106, 1 × 107 EID50/ml) of the target virus. Using two aptamers capable of binding to one target at the same time has the advantage that sensitive detection using aptamer labels is possible without labeling the target molecule. In particular, oligonucleotides are useful for being used as secondary binding probes because they are easy to synthesize and modify. The range of 6×105- 1×107 EID50/ml can be detected by the naked eye, and the detection limit was estimated to be 1.27×105 EID50/ml through the calibration plot shown in Figure 6(D).
Figure 6

(A) Diagram of the immobilization-free GO-SELEX. (B) Diagram of the GO-FRET assays for aptamer characterization. (C) Diagram of whole virus particle detection system and image of the lateral flow strip. (D) Calibration curve of the cognate pair of aptamer-based sandwich-type LFAs (Reproduced with permission from [103], published by Elsevier, 2019).

(A) Diagram of the immobilization-free GO-SELEX. (B) Diagram of the GO-FRET assays for aptamer characterization. (C) Diagram of whole virus particle detection system and image of the lateral flow strip. (D) Calibration curve of the cognate pair of aptamer-based sandwich-type LFAs (Reproduced with permission from [103], published by Elsevier, 2019). Raman spectroscopy is a very attractive tool for biosensor applications because it can confirm the composition and structure of biomaterials at the molecular level80. In addition, due to the multi-peak, it is possible to detect multiple components with high sensitivity, and only a few samples are used. However, the disadvantage is that the signal strength is very weak. Metal nanoparticles were introduced to overcome this disadvantage. It has been found that Raman signals are enhanced by metal nanoparticles that cause plasmon resonance, and biosensors that have introduced them are being studied. Kukushkin’s group conducted a sandwich SERS assay using two different aptamers with high sensitivity for HA81. After fixing the thiol-attached primary aptamer to Ag particles, the virus was bound to generate a Raman signal through a secondary aptamer bound to Cy3, resulting in 106-109-fold signal amplification. The detection limit was confirmed to detect up to 10−4 HA units per probe, showing that it was possible to recognize various strains of influenza virus including H1, H3, and H5 HA subtypes. Table 3 shows the optical biosensing techniques for detecting IV discussed in this review. So far, we have reviewed at methods of detection using the HA protein of IV. However, there is also a method of detecting IV using an internal protein with few mutations82,83.
Table 3

The optical biosensing techniques discussed in this review.

BioprobeDetection MethodDetection LimitTargetRef
Aptamerfluorescence0.4HAUH5N1[75]
AptamerMetal enhanced fluorescence3.5 ng/mLH5N1[76]
AptamerLSPR1pMH5N1[78]
Aptamerlateral flow strip1.27×105 EID50/mlH5N2[79]
AptamerSERS10−4 hemagglutinin units per probeH3N2[81]
The optical biosensing techniques discussed in this review.

Future Prospective

Historically, the outbreak of IV changed the history in the world, and notable examples include Spanish flu, Hong Kong influenza virus, swine flu, and avian influenza. Governments tried to control the social exchange in person to block the spread of IV infections by changing personal lifestyle and establishing policies affecting hygiene, sanitation, and healthcare. Furthermore, viruses with various mutations might appear again and serious impact on the human life. IV spread of various subtypes caused economic loss, a number of victims (humans and animals), and ethnic problems. As we discussed in this review, the aptamer-based electrochemical biosensor and optical biosensor can be powerful candidates for early IV diagnosis. The aptamer-based biosensor has several advantages compared to the antibody-based biosensor: 1) The aptamer can be manufactured chemically, decreasing the biosensor production time. 2) The screening speed of an aptamer against an unknown virus is faster than with an antibody. 3) It can be easily modified with chemical modification. These advantages showed the possibility of commercializing field-ready aptamer-based biosensors. However, some limitations should be attended to alter the antibody- based biosensor including low affinity between target-aptamer, less stability, selectivity, reliability, clinical sensitivity, and feasibility issues. Nevertheless, the aptamer-based biosensor is still attractive for IV detection, and it can be integrated with wearable electronics and a field-ready diagnosis system that contributes to the preventing the spread of various viruses.
  77 in total

Review 1.  In vitro evolution of nucleic acids.

Authors:  G F Joyce
Journal:  Curr Opin Struct Biol       Date:  1994       Impact factor: 6.809

2.  High sensitivity point-of-care device for direct virus diagnostics.

Authors:  Katrine Kiilerich-Pedersen; Johannes Daprà; Solène Cherré; Noemi Rozlosnik
Journal:  Biosens Bioelectron       Date:  2013-06-10       Impact factor: 10.618

3.  Immediate detection of living bacteria at ultralow concentrations using a carbon nanotube based potentiometric aptasensor.

Authors:  Gustavo A Zelada-Guillén; Jordi Riu; Ali Düzgün; F Xavier Rius
Journal:  Angew Chem Int Ed Engl       Date:  2009       Impact factor: 15.336

4.  Electrochemical DNA Biosensor Based on a Tetrahedral Nanostructure Probe for the Detection of Avian Influenza A (H7N9) Virus.

Authors:  Shibiao Dong; Rongtao Zhao; Jiangong Zhu; Xiao Lu; Yang Li; Shaofu Qiu; Leili Jia; Xiong Jiao; Shiping Song; Chunhai Fan; RongZhang Hao; HongBin Song
Journal:  ACS Appl Mater Interfaces       Date:  2015-04-15       Impact factor: 9.229

5.  Colorimetric detection of hepatitis B virus (HBV) DNA based on DNA-templated copper nanoclusters.

Authors:  Xiaoxia Mao; Siyu Liu; Chao Yang; Fengzhen Liu; Keming Wang; Guifang Chen
Journal:  Anal Chim Acta       Date:  2016-01-11       Impact factor: 6.558

Review 6.  Immunosensor-based label-free and multiplex detection of influenza viruses: State of the art.

Authors:  Hanyuan Zhang; Benjamin L Miller
Journal:  Biosens Bioelectron       Date:  2019-06-25       Impact factor: 10.618

Review 7.  Cases of swine influenza in humans: a review of the literature.

Authors:  Kendall P Myers; Christopher W Olsen; Gregory C Gray
Journal:  Clin Infect Dis       Date:  2007-03-06       Impact factor: 9.079

8.  Aptamers as quality control tool for production, storage and biosimilarity of the anti-CD20 biopharmaceutical rituximab.

Authors:  Sabrina Wildner; Sara Huber; Christof Regl; Christian G Huber; Urs Lohrig; Gabriele Gadermaier
Journal:  Sci Rep       Date:  2019-02-01       Impact factor: 4.379

9.  The global distribution and burden of dengue.

Authors:  Samir Bhatt; Peter W Gething; Oliver J Brady; Jane P Messina; Andrew W Farlow; Catherine L Moyes; John M Drake; John S Brownstein; Anne G Hoen; Osman Sankoh; Monica F Myers; Dylan B George; Thomas Jaenisch; G R William Wint; Cameron P Simmons; Thomas W Scott; Jeremy J Farrar; Simon I Hay
Journal:  Nature       Date:  2013-04-07       Impact factor: 49.962

Review 10.  Zika Virus: Medical Countermeasure Development Challenges.

Authors:  Robert W Malone; Jane Homan; Michael V Callahan; Jill Glasspool-Malone; Lambodhar Damodaran; Adriano De Bernardi Schneider; Rebecca Zimler; James Talton; Ronald R Cobb; Ivan Ruzic; Julie Smith-Gagen; Daniel Janies; James Wilson
Journal:  PLoS Negl Trop Dis       Date:  2016-03-02
View more
  6 in total

1.  Detection and Prevention of Virus Infection.

Authors:  Ying Wang; Bairong Shen
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

2.  Graphene-Based Materials for Efficient Neurogenesis.

Authors:  Yeon-Woo Cho; Kwang-Ho Lee; Tae-Hyung Kim
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

Review 3.  Nanomaterial-Based Label-Free Electrochemical Aptasensors for the Detection of Thrombin.

Authors:  Hibba Yousef; Yang Liu; Lianxi Zheng
Journal:  Biosensors (Basel)       Date:  2022-04-16

Review 4.  Current Advances in Paper-Based Biosensor Technologies for Rapid COVID-19 Diagnosis.

Authors:  Soohyun Kim; Jong-Hwan Lee
Journal:  Biochip J       Date:  2022-08-10       Impact factor: 4.229

5.  SERS-Based Aptasensor for Rapid Quantitative Detection of SARS-CoV-2.

Authors:  Elena Zavyalova; Oganes Ambartsumyan; Gleb Zhdanov; Dmitry Gribanyov; Vladimir Gushchin; Artem Tkachuk; Elena Rudakova; Maria Nikiforova; Nadezhda Kuznetsova; Liubov Popova; Bakhtiyar Verdiev; Artem Alatyrev; Elena Burtseva; Anna Ignatieva; Anna Iliukhina; Inna Dolzhikova; Alexander Arutyunyan; Alexandra Gambaryan; Vladimir Kukushkin
Journal:  Nanomaterials (Basel)       Date:  2021-05-25       Impact factor: 5.076

Review 6.  Recent Advances in Surface Plasmon Resonance Sensors for Sensitive Optical Detection of Pathogens.

Authors:  Joon-Ha Park; Yeon-Woo Cho; Tae-Hyung Kim
Journal:  Biosensors (Basel)       Date:  2022-03-17
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.