Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan

An exposure assessment model for industrial use has been developed by using kinetic data from inactivation and growth of Bacillus cereus spores. It can provide a valuable tool for estimating the concentration of B. cereus after a storage period of 24 h at a specified temperature (20 °C) and for an e...

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Autores: Valdez Narváez, María Inés, Fernández-Felipe, M. Teresa, Rodrigo Aliaga, Dolores
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/375172
Acceso en línea:http://hdl.handle.net/10261/375172
https://api.elsevier.com/content/abstract/scopus_id/85206462429
Access Level:acceso abierto
Palabra clave:Bacillus cereus
Monte Carlo simulation
Exposure assessment
Food safety
Insect chitosan
Rice
food safety
chitosan
insects
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spelling Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosanValdez Narváez, María InésFernández-Felipe, M. TeresaRodrigo Aliaga, DoloresBacillus cereusMonte Carlo simulationExposure assessmentFood safetyInsect chitosanRiceBacillus cereusfood safetychitosaninsectsAn exposure assessment model for industrial use has been developed by using kinetic data from inactivation and growth of Bacillus cereus spores. It can provide a valuable tool for estimating the concentration of B. cereus after a storage period of 24 h at a specified temperature (20 °C) and for an estimation of the percentage of contaminated portions according to the input data of the model. This model considers a rice-derived product that has undergone a standard cooking process at 95 °C for 20 min. According to the results, the presence of chitosan affects the final microbial load after storage, potentially serving as an additional control measure in the event of cold chain abuse or break. Chitosan's antimicrobial properties likely play a role in reducing microbial growth during storage, thereby contributing to enhanced food safety. In practical terms, this suggests that incorporating chitosan into food products, especially those susceptible to microbial contamination like rice derivatives, could help mitigate risks associated with temperature abuse or cold chain disruptions. By acting as a protective barrier against microbial proliferation, chitosan offers a preventive measure to maintain product quality and safety throughout the supply chain. Considering two scenarios, 104 or 107 as initial contamination the model estimated that the 55 and 100% of portions would be respectively contaminated, according to a Performance Criteria of 4 log reductions.The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: MCIN/AEI/10.13039/501100011033, “ERDF A way of making Europe” and by the “European Union’’ [grants PID-2020-11631RB-C31 and PRE-2021-098627] and by the Ministerio de Ciencia e Innovación, Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana [grant ACIF/2021/424].With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2021-001189-S)Peer reviewedSage PublicationsEuropean CommissionGeneralitat ValencianaMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)Rodrigo Aliaga, Dolores [0000-0001-9854-111X]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/375172https://api.elsevier.com/content/abstract/scopus_id/85206462429reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116318RB-C31info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX 2021-001189-SFood science and technology international = Ciencia y tecnologia de los alimentos internacionalValdez-Narváez, M. I.; Fernández-Felipe, M. T.; Rodrigo, D.; Experimental data of manuscript Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan [DATASET]; DIGITAL.CSIC;http://hdl.handle.net/10261/380340https://doi.org/10.1177/10820132241289325Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3751722026-05-22T06:33:51Z
dc.title.none.fl_str_mv Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan
title Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan
spellingShingle Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan
Valdez Narváez, María Inés
Bacillus cereus
Monte Carlo simulation
Exposure assessment
Food safety
Insect chitosan
Rice
Bacillus cereus
food safety
chitosan
insects
title_short Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan
title_full Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan
title_fullStr Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan
title_full_unstemmed Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan
title_sort Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan
dc.creator.none.fl_str_mv Valdez Narváez, María Inés
Fernández-Felipe, M. Teresa
Rodrigo Aliaga, Dolores
author Valdez Narváez, María Inés
author_facet Valdez Narváez, María Inés
Fernández-Felipe, M. Teresa
Rodrigo Aliaga, Dolores
author_role author
author2 Fernández-Felipe, M. Teresa
Rodrigo Aliaga, Dolores
author2_role author
author
dc.contributor.none.fl_str_mv European Commission
Generalitat Valenciana
Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
Rodrigo Aliaga, Dolores [0000-0001-9854-111X]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Bacillus cereus
Monte Carlo simulation
Exposure assessment
Food safety
Insect chitosan
Rice
Bacillus cereus
food safety
chitosan
insects
topic Bacillus cereus
Monte Carlo simulation
Exposure assessment
Food safety
Insect chitosan
Rice
Bacillus cereus
food safety
chitosan
insects
description An exposure assessment model for industrial use has been developed by using kinetic data from inactivation and growth of Bacillus cereus spores. It can provide a valuable tool for estimating the concentration of B. cereus after a storage period of 24 h at a specified temperature (20 °C) and for an estimation of the percentage of contaminated portions according to the input data of the model. This model considers a rice-derived product that has undergone a standard cooking process at 95 °C for 20 min. According to the results, the presence of chitosan affects the final microbial load after storage, potentially serving as an additional control measure in the event of cold chain abuse or break. Chitosan's antimicrobial properties likely play a role in reducing microbial growth during storage, thereby contributing to enhanced food safety. In practical terms, this suggests that incorporating chitosan into food products, especially those susceptible to microbial contamination like rice derivatives, could help mitigate risks associated with temperature abuse or cold chain disruptions. By acting as a protective barrier against microbial proliferation, chitosan offers a preventive measure to maintain product quality and safety throughout the supply chain. Considering two scenarios, 104 or 107 as initial contamination the model estimated that the 55 and 100% of portions would be respectively contaminated, according to a Performance Criteria of 4 log reductions.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/375172
https://api.elsevier.com/content/abstract/scopus_id/85206462429
url http://hdl.handle.net/10261/375172
https://api.elsevier.com/content/abstract/scopus_id/85206462429
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116318RB-C31
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX 2021-001189-S
Food science and technology international = Ciencia y tecnologia de los alimentos internacional
Valdez-Narváez, M. I.; Fernández-Felipe, M. T.; Rodrigo, D.; Experimental data of manuscript Development of an exposure assessment industrial model for Bacillus cereus in rice matrix containing insect chitosan [DATASET]; DIGITAL.CSIC;http://hdl.handle.net/10261/380340
https://doi.org/10.1177/10820132241289325
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Sage Publications
publisher.none.fl_str_mv Sage Publications
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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