International Conference on Cheminformatics and Computational Chemical Biology
Brisbane, Australia
Rhazi Naima
University of Hassan II Casablanca, Morocco
Title: Modeling and optimization extraction process of phenolic extracts obtained from Moroccan Acacia mollissima using experimental design methodology
Biography
Biography: Rhazi Naima
Abstract
Response surface methodology (RSM) was an effective and powerful statistical method to optimize the extraction process while giving a maximum of information, reducing the number of experimental trials required and giving the best precision of the results calculated with the established model. The experimental design used permit to determine the factors which had a dominating influence on the required properties, to choose the favorable levels of certain factors, to model the response using a mathematical model and also to optimize the multi-criteria of the process. In this study, we used this methodology to optimize extraction process of poly-phenols and tannins extracted by microwave from Moroccan barks of Acacia mollissima. The variables studied are: time extraction (X1), methanol proportion (X2) and microwave power (X3). The responses measured were: poly-phenols yields (Y1) and condensed tannins yield (Y2). The results of this study were evaluated with colorimetric assays. A face-centered composite design (FCCD) was applied to evaluate the effects of these variables on the phenolic compounds contents. RSM applied in microwave assisted extraction, permitted to develop green extraction process of poly-phenols and tannins extracted, using lower microwave power and methanol proportion with a shortest time extraction and in the same time improve the quantity of extractives obtained from renewable natural resource.