Valorization of agri-food waste through the extraction of bioactive molecules. Prediction of their sunscreen action
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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.
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A regression model correlates the total phenolic content of food waste extracts with their photoprotective action (SPF).
“established a regression model correlating the total phenolic content of the extracts with their photoprotective action (SPF) [95]”
From Use of Waste from the Food Industry and Applications of the Fermentation Process to Create Sustainable Cosmetic Products: A Review (2024) · cites this paper as [95]
Phenolic compounds from food waste extracts may offer significant photoprotective action.
“the authors demonstrated that phenolic compounds from food waste extracts may offer a significant photoprotective action”
From Use of Waste from the Food Industry and Applications of the Fermentation Process to Create Sustainable Cosmetic Products: A Review (2024) · cites this paper as [95]
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- Authors
- Martínez-Inda, B., Esparza, I., Moler, J. A., Jiménez-Moreno, N., & Ancín-Azpilicueta, C.
- Affiliations
- Universidad Pública de Navarra (UPNA) (ES)
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2023-01
- Volume
- 325
- Issue
- Pt B
- Pages
- 116460
- ISSN
- 0301-4797 (ISSN-L)
- OpenAlex
- W4307068782
- Cited by
- 41
- References
- 50
- Citations by year
- 2026: 4 · 2025: 15 · 2024: 11 · 2023: 10 · 2022: 1
- FWCI
- 4.82
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Environmental Management (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Academica-e (Universidad Pública de Navarra) (publishedVersion, cc-by-nc-nd)
- Funders
- Universidad Pública de Navarra
- Gobierno de Navarra (PC093-094 FORINSEC)
- Topics
- Health Sciences › Medicine › Biochemistry › Phytochemicals and Antioxidant Activities
- Health Sciences › Medicine › Dermatology › Skin Protection and Aging
- Physical Sciences › Chemistry › Organic Chemistry › Edible Oils Quality and Analysis
- Keywords
- agri-food waste valorization, vegetable residues, phenolic compounds, antioxidant capacity, sun protection factor, caffeic acid, chlorogenic acid, p-coumaric acid, protocatechuic acid, flavonoids, peanut extract
- MeSH terms
- Antioxidants, Food, Phenols, Plant Extracts, Refuse Disposal, Sunscreening Agents, Tea
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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