Impact of ultrasound-assisted process on enzymatic extraction of polyphenols from purple rice bran in Vietnam: Experimental kinetics and innovative artificial approach

Abstract

Ultrasound waves is one of the emerging innovative techniques, that widely applied to assist the extraction process. Besides, enzymatic extraction process also considered as green technology. In addition, in Asia country, especially in Vietnam, the rice bran is abundant, which contained many health benefits compounds. This study is aimed to investigate the effect of power of ultrasound (20-100%) on the kinetic of recovery yield (RY, %) and total polyphenol content (TPC, mgGAE/g) in the extract. The statistical and artificial analysis were applied to study the behavior of extraction process. Among 5 statistical models, the first-order model showed the best prediction the extraction characteristics of ultrasound-assisted enzymatic extraction process under different levels of sonication waves (R2 > 99%). Artificial statistical analysis with 2 inputs (sonication power and extraction time) and two outputs (RY and TPC), also reflected more quick and powerful for prediction with the large and complex dataset with the structure of 2-5-2. The fitting between actual and predicted data set of statistical and artificial model presented that the artificial remained more advantage for describing the extraction process than the first-order model. Further studies could consider this approach for using in other extraction process in other kinds of materials.