Literature DB >> 28509437

Detection of Avian Influenza Virus from Cloacal Swabs Using a Disposable Well Gate FET Sensor.

Sungwook Park1,2, Jaebin Choi3, Minhong Jeun1, Yongdeok Kim1, Seong-Su Yuk4, Sang Kyung Kim5, Chang-Seon Song4, Seok Lee3, Kwan Hyi Lee1,2.   

Abstract

Current methods to detect avian influenza viruses (AIV) are time consuming and lo inw sensitivity, necessitating a faster and more sensitive sensor for on-site epidemic detection in poultry farms and urban population centers. This study reports a field effect transistor (FET) based AIV sensor that detects nucleoproteins (NP) within 30 minutes, down to an LOD of 103 EID50 mL-1 from a live animal cloacal swab. Previously reported FET sensors for AIV detection have not targeted NPs, an internal protein shared across multiple strains, due to the difficulty of field-effect sensing in a highly ionic lysis buffer. The AIV sensor overcomes the sensitivity limit with an FET-based platform enhanced with a disposable well gate (DWG) that is readily replaceable after each measurement. In a single procedure, the virus-containing sample is immersed in a lysis buffer mixture to expose NPs to the DWG surface. In comparison with commercial AIV rapid kits, the AIV sensor is proved to be highly sensitive, fast, and compact, proving its potential effectiveness as a portable biosensor.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  FET sensors; avian influenza; cloacal swab; disposable well gate; on-site detection

Mesh:

Substances:

Year:  2017        PMID: 28509437     DOI: 10.1002/adhm.201700371

Source DB:  PubMed          Journal:  Adv Healthc Mater        ISSN: 2192-2640            Impact factor:   9.933


  3 in total

Review 1.  Aptamer-based biosensors for virus protein detection.

Authors:  Beibei Lou; Yanfei Liu; Meilin Shi; Jun Chen; Ke Li; Yifu Tan; Liwei Chen; Yuwei Wu; Ting Wang; Xiaoqin Liu; Ting Jiang; Dongming Peng; Zhenbao Liu
Journal:  Trends Analyt Chem       Date:  2022-07-19       Impact factor: 14.908

Review 2.  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

3.  MicroRNA expression profiles from HEK293 cells expressing H5N1 avian influenza virus non-structural protein 1.

Authors:  Hanwei Jiao; Zonglin Zheng; Xuehong Shuai; Li Wu; Jixuan Chen; Yichen Luo; Yu Zhao; Hongjun Wang; Qingzhou Huang
Journal:  Innate Immun       Date:  2019-02       Impact factor: 2.680

  3 in total

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