Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23095
DC FieldValueLanguage
dc.contributor.authorHadjilouka, Agni-
dc.contributor.authorLoizou, Konstantinos-
dc.contributor.authorApostolou, Theofylaktos-
dc.contributor.authorDougiakis, Lazaros-
dc.contributor.authorInglezakis, Antonios-
dc.contributor.authorTsaltas, Dimitrios-
dc.date.accessioned2021-09-22T09:50:17Z-
dc.date.available2021-09-22T09:50:17Z-
dc.date.issued2020-11-
dc.identifier.citationBiosensors, 2020, vol. 10, no. 11, articl. no. 178en_US
dc.identifier.issn20796374-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23095-
dc.description.abstractHuman 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.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofBiosensorsen_US
dc.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.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectListeria monocytogenesen_US
dc.subjectBioelectric recognition assayen_US
dc.subjectCell-based biosensoren_US
dc.subjectMembrane-engineeringen_US
dc.titleNewly Developed System for the Robust Detection of Listeria monocytogenes Based on a Bioelectric Cell Biosensoren_US
dc.typeArticleen_US
dc.collaborationEMBIO Diagnostics Ltd.en_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryBiological Sciencesen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.3390/bios10110178en_US
dc.identifier.pmid33212801-
dc.identifier.scopus2-s2.0-85096459577-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85096459577-
dc.relation.issue11en_US
dc.relation.volume10en_US
cut.common.academicyear2020-2021en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairetypearticle-
crisitem.author.deptDepartment of Agricultural Sciences, Biotechnology and Food Science-
crisitem.author.facultyFaculty of Geotechnical Sciences and Environmental Management-
crisitem.author.orcid0000-0001-6546-3602-
crisitem.author.parentorgFaculty of Geotechnical Sciences and Environmental Management-
crisitem.journal.journalissn2079-6374-
crisitem.journal.publisherMDPI-
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