Literature DB >> 25232557

Electrical immunosensor based on dielectrophoretically-deposited carbon nanotubes for detection of influenza virus H1N1.

Renu Singh1, Abhinav Sharma, Seongkyeol Hong, Jaesung Jang.   

Abstract

The influenza virus has received extensive attention due to the recent H1N1 pandemics originating from swine. This study reports a label-free, highly sensitive, and selective electrical immunosensor for the detection of influenza virus H1N1 based on dielectrophoretically deposited single-walled carbon nanotubes (SWCNTs). COOH-functionalized SWCNTs were deposited on a self-assembled monolayer of polyelectrolyte polydiallyldimethyl-ammonium chloride (PDDA) between two gold electrodes by dielectrophoretic and electrostatic forces, which resulted in reproducible, uniform, aligned, and aggregation-free SWCNT channels (2-10 μm in length). Avidin was immobilized onto the PDDA-SWCNT channels, and viral antibodies were immobilized using biotin-avidin coupling. The resistance of the channels increased with the binding of the influenza viruses to the antibodies. These immunosensors showed linear behavior as the virus concentration was varied from 1 to 10(4) PFU ml(-1) along with a detection time of 30 min. The immunosensors with a 2 μm channel length detected 1 PFU ml(-1) of the influenza virus accurately (R(2) = 0.99) and selectively from MS2 bacteriophages. These immunosensors have the potential to become an important component of a point-of-care test kit that will enable a rapid clinical diagnosis.

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Year:  2014        PMID: 25232557     DOI: 10.1039/c4an01335b

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  14 in total

Review 1.  Review: Microbial analysis in dielectrophoretic microfluidic systems.

Authors:  Renny E Fernandez; Ali Rohani; Vahid Farmehini; Nathan S Swami
Journal:  Anal Chim Acta       Date:  2017-03-06       Impact factor: 6.558

Review 2.  Critical overview on the application of sensors and biosensors for clinical analysis.

Authors:  Celine I L Justino; Armando C Duarte; Teresa A P Rocha-Santos
Journal:  Trends Analyt Chem       Date:  2016-04-08       Impact factor: 12.296

Review 3.  Dielectrophoresis for Biomedical Sciences Applications: A Review.

Authors:  Nurhaslina Abd Rahman; Fatimah Ibrahim; Bashar Yafouz
Journal:  Sensors (Basel)       Date:  2017-02-24       Impact factor: 3.576

4.  Cost-Effective and Handmade Paper-Based Immunosensing Device for Electrochemical Detection of Influenza Virus.

Authors:  Sivaranjani Devarakonda; Renu Singh; Jyoti Bhardwaj; Jaesung Jang
Journal:  Sensors (Basel)       Date:  2017-11-11       Impact factor: 3.576

Review 5.  Detecting and Predicting Emerging Disease in Poultry With the Implementation of New Technologies and Big Data: A Focus on Avian Influenza Virus.

Authors:  Jake Astill; Rozita A Dara; Evan D G Fraser; Shayan Sharif
Journal:  Front Vet Sci       Date:  2018-10-30

6.  Microfluidic Line-Free Mass Sensor Based on an Antibody-Modified Mechanical Resonator.

Authors:  Masaki Yamaguchi
Journal:  Micromachines (Basel)       Date:  2018-04-12       Impact factor: 2.891

Review 7.  The Role of Nanomaterials and Nanotechnologies in Wastewater Treatment: a Bibliometric Analysis.

Authors:  Meng Jiang; Yun Qi; Huan Liu; Yinguang Chen
Journal:  Nanoscale Res Lett       Date:  2018-08-10       Impact factor: 4.703

8.  Flexible electrical aptasensor using dielectrophoretic assembly of graphene oxide and its subsequent reduction for cardiac biomarker detection.

Authors:  Abhinav Sharma; Jaesung Jang
Journal:  Sci Rep       Date:  2019-04-12       Impact factor: 4.379

Review 9.  Nanomaterial-based sensors for the detection of biological threat agents.

Authors:  Clare E Rowland; Carl W Brown; James B Delehanty; Igor L Medintz
Journal:  Mater Today (Kidlington)       Date:  2016-03-31       Impact factor: 31.041

10.  Giant Magnetoresistance-based Biosensor for Detection of Influenza A Virus.

Authors:  Venkatramana D Krishna; Kai Wu; Andres M Perez; Jian-Ping Wang
Journal:  Front Microbiol       Date:  2016-03-29       Impact factor: 5.640

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