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

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...

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Autores principales: Hadjilouka, Agni, Loizou, Konstantinos, Apostolou, Theofylaktos, Dougiakis, Lazaros, Inglezakis, Antonios, Tsaltas, Dimitrios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698059/
https://www.ncbi.nlm.nih.gov/pubmed/33212801
http://dx.doi.org/10.3390/bios10110178
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author Hadjilouka, Agni
Loizou, Konstantinos
Apostolou, Theofylaktos
Dougiakis, Lazaros
Inglezakis, Antonios
Tsaltas, Dimitrios
author_facet Hadjilouka, Agni
Loizou, Konstantinos
Apostolou, Theofylaktos
Dougiakis, Lazaros
Inglezakis, Antonios
Tsaltas, Dimitrios
author_sort Hadjilouka, Agni
collection PubMed
description 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 10(2) 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.
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spelling pubmed-76980592020-11-29 Newly Developed System for the Robust Detection of Listeria monocytogenes Based on a Bioelectric Cell Biosensor Hadjilouka, Agni Loizou, Konstantinos Apostolou, Theofylaktos Dougiakis, Lazaros Inglezakis, Antonios Tsaltas, Dimitrios Biosensors (Basel) Article 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 10(2) 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. MDPI 2020-11-17 /pmc/articles/PMC7698059/ /pubmed/33212801 http://dx.doi.org/10.3390/bios10110178 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hadjilouka, Agni
Loizou, Konstantinos
Apostolou, Theofylaktos
Dougiakis, Lazaros
Inglezakis, Antonios
Tsaltas, Dimitrios
Newly Developed System for the Robust Detection of Listeria monocytogenes Based on a Bioelectric Cell Biosensor
title Newly Developed System for the Robust Detection of Listeria monocytogenes Based on a Bioelectric Cell Biosensor
title_full Newly Developed System for the Robust Detection of Listeria monocytogenes Based on a Bioelectric Cell Biosensor
title_fullStr Newly Developed System for the Robust Detection of Listeria monocytogenes Based on a Bioelectric Cell Biosensor
title_full_unstemmed Newly Developed System for the Robust Detection of Listeria monocytogenes Based on a Bioelectric Cell Biosensor
title_short Newly Developed System for the Robust Detection of Listeria monocytogenes Based on a Bioelectric Cell Biosensor
title_sort newly developed system for the robust detection of listeria monocytogenes based on a bioelectric cell biosensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698059/
https://www.ncbi.nlm.nih.gov/pubmed/33212801
http://dx.doi.org/10.3390/bios10110178
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