Valorization of agri-food waste through the extraction of bioactive molecules. Prediction of their sunscreen action

Martínez Inda, Blanca; Esparza Catalán, Irene; Moler Cuiral, José Antonio; Jiménez Moreno, Nerea; Ancín Azpilicueta, Carmen

Valorization of agri-food waste through the extraction of bioactive molecules. Prediction of their sunscreen action

dc.contributor.author	Martínez Inda, Blanca
dc.contributor.author	Esparza Catalán, Irene
dc.contributor.author	Moler Cuiral, José Antonio
dc.contributor.author	Jiménez Moreno, Nerea
dc.contributor.author	Ancín Azpilicueta, Carmen
dc.contributor.department	Ciencias	es_ES
dc.contributor.department	Zientziak	eu
dc.contributor.department	Estadística, Informática y Matemáticas	es_ES
dc.contributor.department	Estatistika, Informatika eta Matematika	eu
dc.contributor.department	Institute for Advanced Materials and Mathematics - INAMAT2	en
dc.contributor.funder	Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa	es_ES
dc.date.accessioned	2023-04-03T06:17:21Z
dc.date.available	2023-04-03T06:17:21Z
dc.date.issued	2023
dc.date.updated	2023-04-03T06:06:18Z
dc.description.abstract	The aim of this work was to identify the phenolic composition of 18 different vegetable residues and to determine the relationship between their phenolic compounds, antioxidant capacity and sun protection factor. For this purpose, samples of agri-food residues were analyzed to quantify their antioxidant capacity, total polyphenol and flavonoid content, sun protection factor and individual phenolic compounds through HPLC-DAD-FLD. Among the different phenolic compounds found in the extracts, the phenolic acids, especially caffeic acid, chlorogenic acid, p-coumaric acid and protocatechuic acid were the ones that have been most frequently identified, and, therefore, are present in a wide range of extracts. Black chai tea, lemon ginger tea and peanut extracts were the most antioxidant and photoprotective extracts. Phenolic compounds in the extracts have been found to contribute to their antioxidant activity and are closely correlated to their photoprotective capacity. A regression model that allows predicting the photoprotective capacity of any extract based on its total phenol content has been developed as a tool to determine the most suitable industrial application for each vegetable extract.	en
dc.description.sponsorship	The authors wish to thank the Government of Navarra (Project PC093-094 FORINSEC) for the financial support. Open access funding provided by Universidad Pública de Navarra.	en
dc.format.mimetype	application/pdf	en
dc.format.mimetype	application/msword	en
dc.identifier.citation	Martínez-Inda, B., Esparza, I., Moler, J. A., Jiménez-Moreno, N., & Ancín-Azpilicueta, C. (2023). Valorization of agri-food waste through the extraction of bioactive molecules. Prediction of their sunscreen action. Journal of Environmental Management, 325, 116460. https://doi.org/10.1016/j.jenvman.2022.116460	en
dc.identifier.doi	10.1016/j.jenvman.2022.116460
dc.identifier.issn	0301-4797
dc.identifier.uri	https://academica-e.unavarra.es/handle/2454/45012
dc.language.iso	eng	en
dc.publisher	Elsevier	en
dc.relation.ispartof	Journal of Environmental Management 325 (2023) 116460	en
dc.relation.projectID	info:eu-repo/grantAgreement/Gobierno de Navarra//PC093-094/
dc.relation.publisherversion	https://doi.org/10.1016/j.jenvman.2022.116460
dc.rights	© 2022 The Authors. This is an open access article under the CC BY-NC-ND license.	en
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject	Antioxidant capacity	en
dc.subject	Food by-products	en
dc.subject	Phenolic compounds	en
dc.subject	Photoprotection	en
dc.subject	Vegetable extracts	en
dc.title	Valorization of agri-food waste through the extraction of bioactive molecules. Prediction of their sunscreen action	en
dc.type	info:eu-repo/semantics/article
dc.type.version	info:eu-repo/semantics/publishedVersion
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