Deployment of response surface methodology to optimize recovery of dried dark fig (Ficus carica L. var. Azenjar) total phenolic compounds and antioxidant activity

Bachir bey M, . and Meziant L, . and Benchikh Y, . and Louaileche H, . Deployment of response surface methodology to optimize recovery of dried dark fig (Ficus carica L. var. Azenjar) total phenolic compounds and antioxidant activity. pp. 1477-1482. ISSN 22317546

Fig fruit (Ficus carica L.) is currently known by its high phenolic contents and antioxidant activity. Considering the importance of this fruit we set as objective the conditions optimization for extracting total phenolic compounds (TPC) and antioxidant activity from dried dark fig using response surface methodology (RSM). The Box“Behnken design was used to investigate effects of three independent variables solvent concentration (acetone/water 40“80) temperature (25“65C) and time (60“120 min) on the response. Second-order polynomial model was used for predicting the response. Regression analysis showed that about 99 of the variation was explained by the models. Response surface analysis showed that the optimal extraction parameters which maximized antioxidants extraction were 61.03 acetone 105.12 min and 46.16C. Under optimal conditions experimental values for TPC and antioxidant activity were 454.78 and 38.00 mg gallic acid equivalent (GAE)/100 g dry matter. The experimental values are in accordance with those predicted indicating the suitability of the employed model and the success of RSM in optimizing the extraction conditions.

Full text available from: Official URL: http://ifrj.upm.edu.my/21%20(04)%202014/29%20IFRJ%...

Abstract

Fig fruit (Ficus carica L.) is currently known by its high phenolic contents and antioxidant activity. Considering the importance of this fruit we set as objective the conditions optimization for extracting total phenolic compounds (TPC) and antioxidant activity from dried dark fig using response surface methodology (RSM). The Box“Behnken design was used to investigate effects of three independent variables solvent concentration (acetone/water 40“80) temperature (25“65C) and time (60“120 min) on the response. Second-order polynomial model was used for predicting the response. Regression analysis showed that about 99 of the variation was explained by the models. Response surface analysis showed that the optimal extraction parameters which maximized antioxidants extraction were 61.03 acetone 105.12 min and 46.16C. Under optimal conditions experimental values for TPC and antioxidant activity were 454.78 and 38.00 mg gallic acid equivalent (GAE)/100 g dry matter. The experimental values are in accordance with those predicted indicating the suitability of the employed model and the success of RSM in optimizing the extraction conditions.

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Item Type:	Article
AGROVOC Term:	Dried fruits
AGROVOC Term:	Extraction
AGROVOC Term:	Phenolic compounds
AGROVOC Term:	Antioxidants
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 06:27
URI:	http://webagris.upm.edu.my/id/eprint/21808

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