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Multifactorial Shelf-life Prediction of Refrigerated Broccoli at the Household Level

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Multifactorial Shelf-life Prediction of Refrigerated Broccoli at the Household Level

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dc.contributor.author Garre, Alberto es_ES
dc.contributor.author Aguayo, Encarna es_ES
dc.contributor.author Castillejo-Montoya, Noelia es_ES
dc.date.accessioned 2024-09-19T18:02:53Z
dc.date.available 2024-09-19T18:02:53Z
dc.date.issued 2024-07 es_ES
dc.identifier.issn 1935-5130 es_ES
dc.identifier.uri http://hdl.handle.net/10251/208381
dc.description.abstract [EN] Reducing fruit and vegetable waste at the household level would significantly contribute to decreasing the overall environmental impact of the food chain. Achieving this requires an understanding of the most critical factors in product quality to predict shelf life. Broccoli has been chosen to model this as it is consumed worldwide. To simulate consumer conditions, broccoli heads were purchased in bulk from a local supermarket and stored (in a disposable, compostable bag) at four storage temperatures (3, 5, 7, and 12 degrees C) for 13 days. Broccoli quality was evaluated using five factors: weight loss, vitamin C content, total phenolic content, chlorophyll content, and consumer acceptability. Individual shelf-life estimates were calculated for each factor independently using kinetic models and adequate threshold values. The product's shelf life was obtained by combining the individual estimates; consumer acceptability was noted as being the most relevant criterion at any temperature, followed by vitamin C content or weight loss depending on the storage temperature. However, the effect of temperature was nonlinear; variations within the 3-5 degrees C range had little impact on shelf life (13-14 days), whereas an increase to 7 degrees C would cause a significant reduction in shelf life (9 days). Hence, according to the fitted models, it is particularly important that the temperature of refrigerated broccoli is closely controlled within the range of 3 to 5 degrees C. This information is highly relevant to the industry, supermarkets, and the end consumer, as it emphasizes that temperature control of broccoli is essential to ensure the quality of the product throughout its shelf life, helping to reduce food waste. es_ES
dc.description.sponsorship This Research was partly supported with the following projects: a) Spanish Ministry of Science and Innovation (MCIN) - National Research Agency (MCIN/AEI/10.13039/501100011033) and by "ERDF A way of making Europe", of the European Union [RTI2018-099139-B-C21]. b) PID2020-116318RB-C32 by the Spanish Ministry of Science and Research, MCIN/AEI/10.13039/501100011033 and c) AGROALNEXT programme and was supported by MCIN with funding from European Union NextGenerationEU (PRTR-C17.I1) and by Fundacion Seneca with funding from Comunidad Autonoma Region de Murcia (CARM). Alberto Garre acknowledges being funded by a Ramon y Cajal Fellowship (RYC-2021-034612-I). Noelia Castillejo is grateful for her contract which has been co-financed by Juan de la Cierva (JDC2022-049432-I) from MCIN/AEI/10.13039/501100011033 and by the European Union "NextGenerationEU/PRTR". DAS:No datasets were generated or analysed during the current study. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Food and Bioprocess Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Kinetic modeling es_ES
dc.subject Product quality es_ES
dc.subject Storage prediction es_ES
dc.subject Consumer acceptability es_ES
dc.subject Carbon footprint es_ES
dc.subject Waste loss es_ES
dc.title Multifactorial Shelf-life Prediction of Refrigerated Broccoli at the Household Level es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11947-024-03523-9 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116318RB-C32/ES/DESCONTAMINACION Y TRATAMIENTO DURANTE EL PROCESADO CON ANTIMICROBIANOS NATURALES EN NANOEMULSION PARA GARANTIZAR LA SEGURIDAD DE BEBIDAS VEGETALES Y SMOOTHIES PASTEURIZADOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099139-B-C21/ES/OPTIMIZACION DE LA CADENA DE VALOR DEL SECTOR HORTOFRUTICOLA DESDE UNA PERSPECTIVA HOLISTICA: ANALISIS DE CICLO DE VIDA AMBIENTAL, SOCIAL Y ECONOMICA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICIN//JDC2022-049432-I//CIENCIAS Y TECNOLOGÍAS DE ALIMENTOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//RYC-2021-034612-I/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//PRTR-C17.I1/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Ingeniería de Alimentos para el Desarrollo - Institut Universitari d'Enginyeria d'Aliments per al Desenvolupament es_ES
dc.description.bibliographicCitation Garre, A.; Aguayo, E.; Castillejo-Montoya, N. (2024). Multifactorial Shelf-life Prediction of Refrigerated Broccoli at the Household Level. Food and Bioprocess Technology. https://doi.org/10.1007/s11947-024-03523-9 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11947-024-03523-9 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\525647 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder MINISTERIO DE EDUCACION es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Comunidad Autónoma de la Región de Murcia es_ES


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