OPTIMIZATION OF ULTRASOUND-ASSISTED EXTRACTION OF PHENOLIC COMPOUNDS FROM AMMI VISNAGA USING RESPONSE SURFACE METHODOLOGY

Abstract

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.

Authors and Affiliations

S. Aourabi et al.

Keywords

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  • EP ID EP580637
  • DOI 10.13040/IJPSR.0975-8232.10(6).2693-99
  • Views 114
  • Downloads 0

How To Cite

S. Aourabi et al. (2019). OPTIMIZATION OF ULTRASOUND-ASSISTED EXTRACTION OF PHENOLIC COMPOUNDS FROM AMMI VISNAGA USING RESPONSE SURFACE METHODOLOGY. International Journal of Pharmaceutical Sciences and Research (IJPSR), 10(6), 2693-2699. https://europub.co.uk/articles/-A-580637