Literature DB >> 11544041

The application of the bioelectric recognition assay for the detection of human and plant viruses: definition of operational parameters.

S Kintzios1, E Pistola, J Konstas, F Bem, T Matakiadis, N Alexandropoulos, I Biselis, R Levin.   

Abstract

The bioelectric recognition assay (BERA) is a novel biosensory method based on a unique combination of a group of cells, their immobilization in a matrix that preserves their physiological functions and the expression of the cell interaction with viruses as a change in electrical properties. A BERA sensor consists of an electroconductive, tube-like probe containing components of immobilized cells in a gel matrix. Cells are selected to specifically interact with the virus under detection. In this way, when a positive sample is added to the probe, a characteristic, 'signature-like' change in electrical potential occurs upon contact between the virus and the gel matrix. In the present study, we demonstrate that BERA can be used for the detection of viruses in humans (hepatitis C virus) and plants (tobacco and cucumber viruses) in a remarkably specific, rapid (1-2 min), reproducible and cost-efficient fashion. The sensitivity of the virus detection with BERA (0.1 ng) is equal or even better than with advanced immunological, cytological and molecular techniques, such as the reverse transcription polymerase chain reaction. Moreover, a good storability of the sensors can be achieved without affecting their performance. The potential use of portable BERA biosensors in medicine, for mass screening purposes, as well as for the detection of biological warfare agents without prior knowledge of a specific receptor-molecule interaction is discussed.

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Year:  2001        PMID: 11544041     DOI: 10.1016/s0956-5663(01)00161-0

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  5 in total

Review 1.  Diagnostic tests for hepatitis C: recent trends in electrochemical immunosensor and genosensor analysis.

Authors:  Carolina V Uliana; Carla S Riccardi; Hideko Yamanaka
Journal:  World J Gastroenterol       Date:  2014-11-14       Impact factor: 5.742

2.  Assessment of Organophosphate and Carbamate Pesticide Residues in Cigarette Tobacco with a Novel Cell Biosensor.

Authors:  Sophie Mavrikou; Kelly Flampouri; Georgia Moschopoulou; Olga Mangana; Alexandros Michaelides; Spiridon Kintzios
Journal:  Sensors (Basel)       Date:  2008-04-23       Impact factor: 3.576

3.  Development of a Portable, Ultra-Rapid and Ultra-Sensitive Cell-Based Biosensor for the Direct Detection of the SARS-CoV-2 S1 Spike Protein Antigen.

Authors:  Sophie Mavrikou; Georgia Moschopoulou; Vasileios Tsekouras; Spyridon Kintzios
Journal:  Sensors (Basel)       Date:  2020-05-31       Impact factor: 3.576

4.  Newly Developed System for the Robust Detection of Listeria monocytogenes Based on a Bioelectric Cell Biosensor.

Authors:  Agni Hadjilouka; Konstantinos Loizou; Theofylaktos Apostolou; Lazaros Dougiakis; Antonios Inglezakis; Dimitrios Tsaltas
Journal:  Biosensors (Basel)       Date:  2020-11-17

Review 5.  Biosensors for the Determination of SARS-CoV-2 Virus and Diagnosis of COVID-19 Infection.

Authors:  Maryia Drobysh; Almira Ramanaviciene; Roman Viter; Chien-Fu Chen; Urte Samukaite-Bubniene; Vilma Ratautaite; Arunas Ramanavicius
Journal:  Int J Mol Sci       Date:  2022-01-08       Impact factor: 5.923

  5 in total

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