MODELING AND OPTIMIZATION OF ULTRASOUND ASSISTEDrnEXTRACTION PARAMETERS USING RESPONSE SURFACErnMETHODOLOGY FOR WATER SOLUBLE POLYSACCHARIDErnEXTRACTION FROM HAZELNUT SKIN

摘要

The aim of this study is to evaluate optimum process conditions for water solublernpolysaccharides (WSP) of plant waste materials such as hazelnut skin by using responsernsurface methodologies (RSM). Polysaccharides from hazelnut skin were extracted byrnmeans of probe type sonication system using distilled water as a solvent with severalrnsonication time, temperature and amplitude. Response surface models were applied byrnboth Box–Behnken Design (BBD) and Central-Composite Design (CCD) for determiningrnoptimal condition which satisfies both maximizing polysaccharide yield andrnminimizing applied energy for sonication. Results showed that both BBD and CCDrnmodels represented the system with high regression coefficient (R~2>0.95) and optimumrnconditions are 16.15min, 45C, 50.29% amplitude with 0.733 desirability,rn15.97min, 45C, 47.27% amplitude with 0.712 desirability, respectively, for designs.rnResults of given conditions are 1.74% yield and 78.75 kJ consumption for BBD andrn1.64% yield and 71.68 kJ for CCD. These results were validated by comparing experimentalrnresults at 15min, 45C, 50% amplitude. As a consequence, it was observed thatrnselected statistical models represent the system with a high accuracy and associatingrnscores of each optimal condition is close enough to experimental results.