| Título : | Extraction of phenolic compounds with antioxidant activity from olive pomace using natural deep eutectic solvents: modelling and optimization by response surface methodology |
| Autor(es) : | Cabrera, Leandro Xavier, Lucía Zecchi, Berta |
| Fecha de publicación : | may-2024 |
| Tipo de publicación: | Artículo |
| Versión: | Publicado |
| Publicado por: | Springer Nature |
| Publicado en: | Discover Food |
| Areas del conocimiento : | Ingeniería y Tecnología Ingeniería Química |
| Otros descriptores : | Olive pomace Antioxidants Extraction NADES Modelling |
| Resumen : | This work explored the use of natural deep eutectic solvents (NADES) for extracting phenolic compounds with antioxidant activity from Uruguayan olive pomace (OP), a by-product of olive oil mills. Among nine NADES tested, lactic acid-glucose (La-Gc) was the most effective solvent for phenolic compound extraction. Further investigation focused on optimizing the extraction process using La-Gc. Response surface methodology was employed to analyze the impact of extraction temperature, water content in NADES and solid–liquid ratio on total phenols content (TPC) and antioxidant activity (FRAP and DPPH assays). Temperature and solid–liquid ratio greatly influenced TPC and antioxidant activity, while water content in NADES only showed significant influence on antioxidant activity. The optimum extraction conditions that maximized TPC and antioxidant activity were 80 ◦C, 68% (w/w) of water in NADES and solid–liquid ratio of 0.014 g/mL, showing a TPC of 15.56 mg GAE/g db, FRAP of 178.14 µmol FSE/g db and DPPH of 72.75 µmol TRE/g db, with hydroxytyrosol content of 1.24 mg/g db. These values were significantly higher than those of extracts obtained from conventional solvents under identical extraction conditions. These results highlight the suitability of the present extraction method using La-Gc as solvent to obtain phenolic compounds with antioxidant activity from OP. |
| URI / Handle: | https://hdl.handle.net/20.500.12381/5598 |
| Otros recursos relacionados: | https://hdl.handle.net/20.500.12381/5594 https://hdl.handle.net/20.500.12381/5595 https://hdl.handle.net/20.500.12381/5596 https://hdl.handle.net/20.500.12381/5597 |
| DOI: | https://doi.org/10.1007/s44187-024-00100-z |
| Institución responsable del proyecto: | Universidad de la República. Facultad de Ingeniería |
| Financiadores: | Agencia Nacional de Investigación e Innovación Universidad de la República. Comisión Académica de Posgrado Universidad de la República. Comisión Sectorial de Investigación Científica |
| Identificador ANII: | POS_NAC_2018_1_151628 |
| Nivel de Acceso: | Acceso abierto |
| Licencia CC: | Reconocimiento 4.0 Internacional. (CC BY) |
| Aparece en las colecciones: | Publicaciones de ANII |
Archivos en este ítem:
| archivo | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| cabrera2024.pdf | Descargar | 1.51 MB | Adobe PDF |
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Reconocimiento 4.0 Internacional. (CC BY)
