PATHOGEN DETECTION VIA GRAPHENE OXIDE-BASED IMMUNOSENSING: DETERMINATION OF BACTERIA IN INDUSTRIAL SAMPLES OF FOOD

"One of the major concerns of the food industry is the pathogenic bacterial contamination because it represents a risk to health of the consumer, it could cause several diseases and even death.1 E. coli is a bacteria found in environment, foods and intestine of people or animals. Most E. coli s...

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Detalles Bibliográficos
Autor: Mariana Denisse Avila Huerta
Tipo de recurso: tesis de maestría
Estado:Versión aceptada para publicación
Fecha de publicación:2019
País:México
Institución:Centro de Investigaciones en Óptica
Repositorio:Repositorio Institucional CIO
Idioma:inglés
OAI Identifier:oai:cio.repositorioinstitucional.mx:1002/1271
Acceso en línea:http://cio.repositorioinstitucional.mx/jspui/handle/1002/1271
Access Level:acceso abierto
Palabra clave:info:eu-repo/classification/Autor/Biosensing
info:eu-repo/classification/Autor/Graphene oxide
info:eu-repo/classification/Autor/e. coli
info:eu-repo/classification/Autor/Optical detection
info:eu-repo/classification/Autor/Nanophotonics
info:eu-repo/classification/Autor/Biosensor
info:eu-repo/classification/cti/6
info:eu-repo/classification/cti/31
info:eu-repo/classification/cti/3199
info:eu-repo/classification/cti/319999
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network_acronym_str MX
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spelling PATHOGEN DETECTION VIA GRAPHENE OXIDE-BASED IMMUNOSENSING: DETERMINATION OF BACTERIA IN INDUSTRIAL SAMPLES OF FOODMariana Denisse Avila Huertainfo:eu-repo/classification/Autor/Biosensinginfo:eu-repo/classification/Autor/Graphene oxideinfo:eu-repo/classification/Autor/e. coliinfo:eu-repo/classification/Autor/Optical detectioninfo:eu-repo/classification/Autor/Nanophotonicsinfo:eu-repo/classification/Autor/Biosensorinfo:eu-repo/classification/cti/6info:eu-repo/classification/cti/31info:eu-repo/classification/cti/3199info:eu-repo/classification/cti/319999info:eu-repo/classification/cti/319999"One of the major concerns of the food industry is the pathogenic bacterial contamination because it represents a risk to health of the consumer, it could cause several diseases and even death.1 E. coli is a bacteria found in environment, foods and intestine of people or animals. Most E. coli strains are harmless but some others can cause serious food poisoning.2–4 Currently, in food industry use culture-based assays on differential culture media to determination of pathogenic bacterial to ensure the food quality and the consumer safety. Despite this method is very accurate, it is time consuming and expensive. The development of biosensors and biosensing platforms results as an alternative for the reduction of time and cost of the pathogenic bacteria detection in food.5 In this thesis, an optical biosensing platform based on Graphene Oxide (GO) is proposed aiming at detecting E. coli O157:H7, in food industry samples. The food industry samples were provided by “La Próxima Estación”, a Mexican company dedicated to process frozen fruits and vegetables. The proposed biosensing platform reached a limit of detection (LOD) of 1.8 CFU mL-1 with a time response of 30 minutes. Also, it was demonstrated the selectivity of the antibody chosen as biorecognition element. Because of the matrix, for the real samples (vegetables such as spinach and cauliflower), it determined as positive or negative the presence of E. coli reaching a time response of 45 minutes."Eden Morales-Narvaez2019-08info:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttp://cio.repositorioinstitucional.mx/jspui/handle/1002/1271reponame:Repositorio Institucional CIOinstname:Centro de Investigaciones en Ópticainstacron:CIOengcitation:Ávila-Huerta, (2019). "Pathogen detection via graphene oxide-based immunosensing: determination of bacteria in industrial samples of food". Tesis de Maestría en Ciencias (Óptica). Centro de Investigaciones en Óptica, A.C. León, Guanajuato, México. 76 pp.León, Guanajuatoinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0oai:cio.repositorioinstitucional.mx:1002/12712024-08-27T22:13:16Z
dc.title.none.fl_str_mv PATHOGEN DETECTION VIA GRAPHENE OXIDE-BASED IMMUNOSENSING: DETERMINATION OF BACTERIA IN INDUSTRIAL SAMPLES OF FOOD
title PATHOGEN DETECTION VIA GRAPHENE OXIDE-BASED IMMUNOSENSING: DETERMINATION OF BACTERIA IN INDUSTRIAL SAMPLES OF FOOD
spellingShingle PATHOGEN DETECTION VIA GRAPHENE OXIDE-BASED IMMUNOSENSING: DETERMINATION OF BACTERIA IN INDUSTRIAL SAMPLES OF FOOD
Mariana Denisse Avila Huerta
info:eu-repo/classification/Autor/Biosensing
info:eu-repo/classification/Autor/Graphene oxide
info:eu-repo/classification/Autor/e. coli
info:eu-repo/classification/Autor/Optical detection
info:eu-repo/classification/Autor/Nanophotonics
info:eu-repo/classification/Autor/Biosensor
info:eu-repo/classification/cti/6
info:eu-repo/classification/cti/31
info:eu-repo/classification/cti/3199
info:eu-repo/classification/cti/319999
info:eu-repo/classification/cti/319999
title_short PATHOGEN DETECTION VIA GRAPHENE OXIDE-BASED IMMUNOSENSING: DETERMINATION OF BACTERIA IN INDUSTRIAL SAMPLES OF FOOD
title_full PATHOGEN DETECTION VIA GRAPHENE OXIDE-BASED IMMUNOSENSING: DETERMINATION OF BACTERIA IN INDUSTRIAL SAMPLES OF FOOD
title_fullStr PATHOGEN DETECTION VIA GRAPHENE OXIDE-BASED IMMUNOSENSING: DETERMINATION OF BACTERIA IN INDUSTRIAL SAMPLES OF FOOD
title_full_unstemmed PATHOGEN DETECTION VIA GRAPHENE OXIDE-BASED IMMUNOSENSING: DETERMINATION OF BACTERIA IN INDUSTRIAL SAMPLES OF FOOD
title_sort PATHOGEN DETECTION VIA GRAPHENE OXIDE-BASED IMMUNOSENSING: DETERMINATION OF BACTERIA IN INDUSTRIAL SAMPLES OF FOOD
dc.creator.none.fl_str_mv Mariana Denisse Avila Huerta
author Mariana Denisse Avila Huerta
author_facet Mariana Denisse Avila Huerta
author_role author
dc.contributor.none.fl_str_mv Eden Morales-Narvaez
dc.subject.none.fl_str_mv info:eu-repo/classification/Autor/Biosensing
info:eu-repo/classification/Autor/Graphene oxide
info:eu-repo/classification/Autor/e. coli
info:eu-repo/classification/Autor/Optical detection
info:eu-repo/classification/Autor/Nanophotonics
info:eu-repo/classification/Autor/Biosensor
info:eu-repo/classification/cti/6
info:eu-repo/classification/cti/31
info:eu-repo/classification/cti/3199
info:eu-repo/classification/cti/319999
info:eu-repo/classification/cti/319999
topic info:eu-repo/classification/Autor/Biosensing
info:eu-repo/classification/Autor/Graphene oxide
info:eu-repo/classification/Autor/e. coli
info:eu-repo/classification/Autor/Optical detection
info:eu-repo/classification/Autor/Nanophotonics
info:eu-repo/classification/Autor/Biosensor
info:eu-repo/classification/cti/6
info:eu-repo/classification/cti/31
info:eu-repo/classification/cti/3199
info:eu-repo/classification/cti/319999
info:eu-repo/classification/cti/319999
description "One of the major concerns of the food industry is the pathogenic bacterial contamination because it represents a risk to health of the consumer, it could cause several diseases and even death.1 E. coli is a bacteria found in environment, foods and intestine of people or animals. Most E. coli strains are harmless but some others can cause serious food poisoning.2–4 Currently, in food industry use culture-based assays on differential culture media to determination of pathogenic bacterial to ensure the food quality and the consumer safety. Despite this method is very accurate, it is time consuming and expensive. The development of biosensors and biosensing platforms results as an alternative for the reduction of time and cost of the pathogenic bacteria detection in food.5 In this thesis, an optical biosensing platform based on Graphene Oxide (GO) is proposed aiming at detecting E. coli O157:H7, in food industry samples. The food industry samples were provided by “La Próxima Estación”, a Mexican company dedicated to process frozen fruits and vegetables. The proposed biosensing platform reached a limit of detection (LOD) of 1.8 CFU mL-1 with a time response of 30 minutes. Also, it was demonstrated the selectivity of the antibody chosen as biorecognition element. Because of the matrix, for the real samples (vegetables such as spinach and cauliflower), it determined as positive or negative the presence of E. coli reaching a time response of 45 minutes."
publishDate 2019
dc.date.none.fl_str_mv 2019-08
dc.type.none.fl_str_mv info:eu-repo/semantics/masterThesis
info:eu-repo/semantics/acceptedVersion
format masterThesis
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://cio.repositorioinstitucional.mx/jspui/handle/1002/1271
url http://cio.repositorioinstitucional.mx/jspui/handle/1002/1271
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv citation:Ávila-Huerta, (2019). "Pathogen detection via graphene oxide-based immunosensing: determination of bacteria in industrial samples of food". Tesis de Maestría en Ciencias (Óptica). Centro de Investigaciones en Óptica, A.C. León, Guanajuato, México. 76 pp.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv León, Guanajuato
dc.source.none.fl_str_mv reponame:Repositorio Institucional CIO
instname:Centro de Investigaciones en Óptica
instacron:CIO
instname_str Centro de Investigaciones en Óptica
instacron_str CIO
institution CIO
reponame_str Repositorio Institucional CIO
collection Repositorio Institucional CIO
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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