Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23095
Title: Newly Developed System for the Robust Detection of Listeria monocytogenes Based on a Bioelectric Cell Biosensor
Authors: Hadjilouka, Agni 
Loizou, Konstantinos 
Apostolou, Theofylaktos 
Dougiakis, Lazaros 
Inglezakis, Antonios 
Tsaltas, Dimitrios 
Major Field of Science: Natural Sciences
Field Category: Biological Sciences
Keywords: Listeria monocytogenes;Bioelectric recognition assay;Cell-based biosensor;Membrane-engineering
Issue Date: Nov-2020
Source: Biosensors, 2020, vol. 10, no. 11, articl. no. 178
Volume: 10
Issue: 11
Journal: Biosensors 
Abstract: Human food-borne diseases caused by pathogenic bacteria have been significantly increased in the last few decades causing numerous deaths worldwide. The standard analyses used for their detection have significant limitations regarding cost, special facilities and equipment, highly trained staff, and a long procedural time that can be crucial for foodborne pathogens with high hospitalization and mortality rates, such as Listeria monocytogenes. This study aimed to develop a biosensor that could detect L. monocytogenes rapidly and robustly. For this purpose, a cell-based biosensor technology based on the Bioelectric Recognition Assay (BERA) and a portable device developed by EMBIO Diagnostics, called B.EL.D (Bio Electric Diagnostics), were used. Membrane engineering was performed by electroinsertion of Listeria monocytogenes homologous antibodies into the membrane of African green monkey kidney (Vero) cells. The newly developed biosensor was able to detect the pathogen’s presence rapidly (3 min) at concentrations as low as 102 CFU mL−1, demonstrating a higher sensitivity than most existing biosensor-based methods. In addition, lack of cross-reactivity with other Listeria species, as well as with Escherichia coli, was shown, thus, indicating biosensor’s significant specificity against L. monocytogenes.
URI: https://hdl.handle.net/20.500.14279/23095
ISSN: 20796374
DOI: 10.3390/bios10110178
Rights: © by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation : EMBIO Diagnostics Ltd. 
Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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