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

dc.contributorEden Morales-Narvaez
dc.creatorMariana Denisse Avila Huerta
dc.date2019-08
dc.date.accessioned2023-07-21T15:15:58Z
dc.date.available2023-07-21T15:15:58Z
dc.identifierhttp://cio.repositorioinstitucional.mx/jspui/handle/1002/1271
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7726025
dc.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."
dc.formatapplication/pdf
dc.languageeng
dc.relationcitation: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.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Autor/Biosensing
dc.subjectinfo:eu-repo/classification/Autor/Graphene oxide
dc.subjectinfo:eu-repo/classification/Autor/e. coli
dc.subjectinfo:eu-repo/classification/Autor/Optical detection
dc.subjectinfo:eu-repo/classification/Autor/Nanophotonics
dc.subjectinfo:eu-repo/classification/Autor/Biosensor
dc.subjectinfo:eu-repo/classification/cti/6
dc.subjectinfo:eu-repo/classification/cti/31
dc.subjectinfo:eu-repo/classification/cti/3199
dc.subjectinfo:eu-repo/classification/cti/319999
dc.subjectinfo:eu-repo/classification/cti/319999
dc.titlePATHOGEN DETECTION VIA GRAPHENE OXIDE-BASED IMMUNOSENSING: DETERMINATION OF BACTERIA IN INDUSTRIAL SAMPLES OF FOOD
dc.typeinfo:eu-repo/semantics/masterThesis
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.coverageLeón, Guanajuato


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