OPTIMIZATION OF ULTRASOUND-ASSISTED EXTRACTION OF PHENOLIC COMPOUNDS FROM AMMI VISNAGA USING RESPONSE SURFACE METHODOLOGYAbstract
In this study, response surface methodology (RSM) was used to optimize ultrasound-assisted extraction (UAE) conditions for obtaining the maximum yield and content of phenolic compounds of Ammi visnaga extracts (EAV). Three independent variables including ethanol concentration (%), extraction time (time) and solvent-to-material ration (mL/g) were studied. The results showed that the optimal UAE condition was obtained with an ethanol concentration of 76%, an extraction time of 36 min and a solvent-to-material ratio of 13 mL/g for total phenols. Ethanol concentration, extraction time and solvent-to-material ratio was respectively 79%, 38 min and 11 mL/g for the maximum yield. The experimental values under optimal conditions were in good consistent with the predicted values, confirming the suitability of the model employed and the success of RSM for optimization of the extraction conditions.
S. Aourabi *, S. Jennan, M. Sfaira and F. Mahjoubi
Laboratory of Materials Engineering, Modeling and Environment, Faculty of Sciences, USMBA Fez, Morocco.
02 October 2018
18 December 2018
30 December 2018
01 June 2019