Show simple item record

dc.contributor.authorRivas Macho, Ane
dc.contributor.authorEletxigerra, Unai
dc.contributor.authorDíez Ahedo, Ruth
dc.contributor.authorMerino Álvarez, Santos
dc.contributor.authorSanjuan, Antton
dc.contributor.authorBou-Ali, Mounir
dc.contributor.authorRuiz Rubio, Leire
dc.contributor.authorDel Campo, Javier
dc.contributor.authorVilas Vilela, José Luis ORCID
dc.contributor.authorGoñi de Cerio, Felipe
dc.contributor.authorOlabarria, Garbiñe
dc.date.accessioned2023-05-11T17:02:41Z
dc.date.available2023-05-11T17:02:41Z
dc.date.issued2023-01
dc.identifier.citationHeliyon 9(1) : (2023) // Article ID e12637es_ES
dc.identifier.issn2405-8440
dc.identifier.urihttp://hdl.handle.net/10810/61091
dc.description.abstractThe aim of this work is the design and 3D printing of a new electrochemical sensor for the detection of Listeria monocytogenes based on loop mediated isothermal amplification (LAMP). The food related diseases involve a serious health issue all over the world. Listeria monocytogenes is one of the major problems of contaminated food, this pathogen causes a disease called listeriosis with a high rate of hospitalization and mortality. Having a fast, sensitive and specific detection method for food quality control is a must in the food industry to avoid the presence of this pathogen in the food chain (raw materials, facilities and products). A point-of-care biosensor based in LAMP and electrochemical detection is one of the best options to detect the bacteria on site and in a very short period of time. With the numerical analysis of different geometries and flow rates during sample injection in order to avoid bubbles, an optimized design of the microfluidic biosensor chamber was selected for 3D-printing and experimental analysis. For the electrochemical detection, a novel custom gold concentric-3-electrode consisting in a working electrode, reference electrode and a counter electrode was designed and placed in the bottom of the chamber. The LAMP reaction was optimized specifically for a primers set with a limit of detection of 1.25 pg of genomic DNA per reaction and 100% specific for detecting all 12 Listeria monocytogenes serotypes and no other Listeria species or food-related bacteria. The methylene blue redox-active molecule was tested as the electrochemical transducer and shown to be compatible with the LAMP reaction and very clearly distinguished negative from positive food samples when the reaction is measured at the end-point inside the biosensor.es_ES
dc.description.sponsorshipGarbiñe Olabarria as supported by Ekonomiaren Garapen eta Lehiakortasun Saila, Eusko Jaurlaritza [KK-2021/00082]. M. Mounir Bou-Ali was supported by Eusko Jaurlaritza [Research Group Program, IT1505-22].es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectloop -mediated isothermal AMPlificationes_ES
dc.subject(LAMP)es_ES
dc.subjectListeria monocytogeneses_ES
dc.subjectelectrochemical detectiones_ES
dc.subjectbiosensores_ES
dc.subject3D printinges_ES
dc.subjectnumerical analysises_ES
dc.titleDesign and 3D printing of an electrochemical sensor for Listeria monocytogenes detection based on loop mediated isothermal amplificationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2405844022039251?via%3Dihubes_ES
dc.identifier.doi10.1016/j.heliyon.2022.e12637
dc.departamentoesQuímica físicaes_ES
dc.departamentoeuKimika fisikoaes_ES


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/4.0/).
Except where otherwise noted, this item's license is described as © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).