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

Autor: Martínez-Inda B; Department of Sciences, Universidad Pública de Navarra, Campus Arrosadía s/n, 31006, Pamplona, Spain; Institute for Advanced Materials (INAMAT(2)), Universidad Pública de Navarra, 31006, Pamplona, Spain., Esparza I; Department of Sciences, Universidad Pública de Navarra, Campus Arrosadía s/n, 31006, Pamplona, Spain; Institute for Advanced Materials (INAMAT(2)), Universidad Pública de Navarra, 31006, Pamplona, Spain., Moler JA; Department of Statistics and Operational Research, Universidad Pública de Navarra, Campus Arrosadía s/n, 31006, Pamplona, Spain., Jiménez-Moreno N; Department of Sciences, Universidad Pública de Navarra, Campus Arrosadía s/n, 31006, Pamplona, Spain; Institute for Advanced Materials (INAMAT(2)), Universidad Pública de Navarra, 31006, Pamplona, Spain., Ancín-Azpilicueta C; Department of Sciences, Universidad Pública de Navarra, Campus Arrosadía s/n, 31006, Pamplona, Spain; Institute for Advanced Materials (INAMAT(2)), Universidad Pública de Navarra, 31006, Pamplona, Spain. Electronic address: ancin@unavarra.es.
Jazyk: angličtina
Zdroj: Journal of environmental management [J Environ Manage] 2023 Jan 01; Vol. 325 (Pt B), pp. 116460. Date of Electronic Publication: 2022 Oct 22.
DOI: 10.1016/j.jenvman.2022.116460
Abstrakt: 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.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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