INVESTIGADORES
CASSANI LucÍa Victoria
congresos y reuniones científicas
Título:
Optimum microwave processing approach for the extraction of polyphenols with antioxidant activity from Fucus spiralis
Autor/es:
LUCÍA CASSANI; CATARINA LOURENÇO-LOPES; CECILIA JIMENEZ LÓPEZ; MIGUEL A. PRIETO; ANDREA GOMEZ-ZAVAGLIA; JESUS SIMAL GÁNDARA
Lugar:
Coimbra
Reunión:
Conferencia; International conference- Advances in the role of phenols in health effects and other uses; 2020
Institución organizadora:
Iberphenol
Resumen:
Fucus spiralis have been gaining attention for being an under-exploited bioactive compounds plant resource that could be used as an interesting natural source of novel functional ingredients. In this context, the objective of this study was to investigate the interactive effect of three critical extraction parameters [ethanol concentration (0-100%), time (3-25 min) and pressure (2-20 bar), as independent variables] on the total phenolics content (TPC), total flavonoids content (TFC), extraction yield (EY), DPPH radical scavenging activity (DPPH), trolox equivalent antioxidant capacity (TEAC) and β-Carotene bleaching activity (BC) (as response variables) from the brown alga, Fucus spiralis using microwave-assisted extraction (MAE). For this purpose, response surface methodology with a five-level central composite design which combined the independent variables in 28 experiments was employed. Results suggested that the second order polynomial model for each response variable was fitted well to the extraction experimental data with. Then, the optimal conditions that individually maximized each response were calculated and were also compared with a simultaneous optimization that led to enhance all responses at the same time. From these results, the model-predicted optimal conditions that globally maximized TPC, TFC, EY, DPPH, TEAC and BC were: 25.00 ± 7.50 min, 9.11 ± 1.37 bar and 36.94 ± 2.00 % ethanol. Next, a new batch of algae was processed at these optimal conditions for validation purposes and a good agreement between predicted values and experimental data was obtained, suggesting that the models could accurately predict and improve the extraction of antioxidants compounds from Fucus spiralis. In this regard, the optimization of MAE conditions exhibited promising results for polyphenolic antioxidants extraction which can contribute in green extraction technology and its application in nutraceutical and food industry