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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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. |
format | Online Article Text |
id | pubmed-7698059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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