Aptamer selection and application in multivalent binding-based electrical impedance detection of inactivated H1N1 virus

Bai, Chenjun; Lu, Zhangwei; Jiang, Hua; Yang, Zhi-Cheng; Liu, Xuemei; Ding, Hongmei; Li, Hui; Dong, Jing; Huang, Aixue; Fang, Tao; Jiang, Yongqiang; Zhu, Lijing; Lou, Xinhui; Li, Shaohua; Shao, Ningsheng

doi:10.1016/j.bios.2018.03.047

Cited by 102 publications

(68 citation statements)

References 36 publications

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“…Different shapes and forms (helical structure, loops) are found in aptamers that helps them in fitting or binding specifically with target molecule. Aptamer based gold impediametric biosensor was developed by [89]. These aptamers designed specifically for multivalent binding with inactivated H1N1 viruses and a sensitivity of 0.9 pg/μl was achieved.…”

Section: Amperometric Sensorsmentioning

confidence: 99%

Detection methods for influenza A H1N1 virus with special reference to biosensors: a review

et al. 2020

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H1N1 (Swine flu) is caused by influenza A virus, which is a member of Orthomyxoviridae family. Transmission of H1N1 occurs from human to human through air or sometimes from pigs to humans. The influenza virus has different RNA segments, which can reassert to make new virus strain with the possibility to create an outbreak in unimmunized people. Gene reassortment is a process through which new strains are emerging in pigs, as it has specific receptors for both human influenza and avian influenza viruses. H1N1 binds specifically with an α-2,6 glycosidic bond, which is present in human respiratory tract cells as well as in pigs. Considering the fact of fast multiplication of viruses inside the living cells, rapid detection methods need an hour. Currently, WHO recommended methods for the detection of swine flu include real-time PCR in specific testing centres that take 3–4 h. More recently, a number of methods such as Antigen–Antibody or RT-LAMP and DNA biosensors have also been developed that are rapid and more sensitive. This review describes the various challenges in the diagnosis of H1N1, and merits and demerits of conventional vis-à-vis latest methods with special emphasis on biosensors.

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Section: Amperometric Sensorsmentioning

confidence: 99%

Detection methods for influenza A H1N1 virus with special reference to biosensors: a review

et al. 2020

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“…[31] Aptamerbased sensors (aptasensors) were developed by Bai and coworkers for the detections of IAV. [98] The aptamer surface density appeared to affect the binding affinity between surfaceanchored aptamers and viruses, showing a more than 100 times higher sensitivity when the surface density was increased from 4.8 × 10 11 to 14 × 10 11 molecules/cm 2 ( Figure 10A). Alternatively, a mucin-mimetic glycopolymer-based microarray was employed for the study on the binding of IAV with sialic acid receptors ( Figure 10B).…”

Section: Binding Of Viruses and Virus-like Particles At Interfacesmentioning

confidence: 99%

“…(see above) to form impedimetric glycan biosensors for the detection of the influenza A virus (IAV) hemagglutinins (HAs) in the attomolar range . Aptamer‐based sensors (aptasensors) were developed by Bai and coworkers for the detections of IAV . The aptamer surface density appeared to affect the binding affinity between surface‐anchored aptamers and viruses, showing a more than 100 times higher sensitivity when the surface density was increased from 4.8×10 11 to 14×10 11 molecules/cm 2 (Figure A).…”

Section: Multivalent Studies At Functionalized Platformsmentioning

confidence: 99%

Surface Modification with Control over Ligand Density for the Study of Multivalent Biological Systems

Iorio

Huskens

2020

ChemistryOpen

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In the study of multivalent interactions at interfaces, as occur for example at cell membranes, the density of the ligands or receptors displayed at the interface plays a pivotal role, affecting both the overall binding affinities and the valencies involved in the interactions. In order to control the ligand density at the interface, several approaches have been developed, and they concern the functionalization of a wide range of materials. Here, different methods employed in the modification of surfaces with controlled densities of ligands are being reviewed. Examples of such methods encompass the formation of self‐assembled monolayers (SAMs), supported lipid bilayers (SLBs) and polymeric layers on surfaces. Particular emphasis is given to the methods employed in the study of different types of multivalent biological interactions occurring at the functionalized surfaces and their working principles.

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“…116 Bai et al developed an electrochemical impedance aptasensor to detect H1N1 virus particles ( Figure 3B). 117 The aptamer selective to H1N1 was identified and used on the surface of modified gold electrode. The detection limit was 0.9 pg/μL with the higher probe density.…”

Section: Aptamer-based Sensorsmentioning

confidence: 99%

Review—Chemical and Biological Sensors for Viral Detection

Özer

Geiss

Henry

2019

J. Electrochem. Soc.

122

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Infectious diseases commonly occur in contaminated water, food, and bodily fluids and spread rapidly, resulting in death of humans and animals worldwide. Among infectious agents, viruses pose a serious threat to public health and global economy because they are often difficult to detect and their infections are hard to treat. Since it is crucial to develop rapid, accurate, cost-effective, and in-situ methods for early detection viruses, a variety of sensors have been reported so far. This review provides an overview of the recent developments in electrochemical sensors and biosensors for detecting viruses and use of these sensors on environmental, clinical and food monitoring. Electrochemical biosensors for determining viruses are divided into four main groups including nucleic acid-based, antibody-based, aptamer-based and antigen-based electrochemical biosensors. Finally, the drawbacks and advantages of each type of sensors are identified and discussed.

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Aptamer selection and application in multivalent binding-based electrical impedance detection of inactivated H1N1 virus

Cited by 102 publications

References 36 publications

Detection methods for influenza A H1N1 virus with special reference to biosensors: a review

Detection methods for influenza A H1N1 virus with special reference to biosensors: a review

Surface Modification with Control over Ligand Density for the Study of Multivalent Biological Systems

Review—Chemical and Biological Sensors for Viral Detection

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