APPLICATION OF RESPONSE SURFACE METHODOLOGY (RSM) ON THE OPTIMIZATION OF HIGH AMYLOSE STARCH PRODUCTION FROM SAGO STARCH USING PULLULANASE

Abstract

Production of high amylose from sago can be considered as a high potential innovative approach of producing healthy food. High amylose starch can be produced by amylopectin debranching process. There are five parameters that could affect the debrancing process during the production of the high amylose starch. The purpose of this study was to identify the optimal range of these five parameters the efficient way by applying response surface methodology (RSM). Based on the results from 25-1 fractional factorial design (FFD), the most significant factors (p<0.05) that affecting pullulanase debranching reaction were substrate concentration, followed by pH, duration of reaction and temperature. The steepest ascent analysis and central composite design (CCD), had been used to determine the optimal reaction conditions for debranching process. From our findings, substrate concentration of 4.3% (w/v), enzyme concentration of 1.5% (v/v), pH at 4.6, the duration of 83 minutes and reaction temperature at 43oC were observed able to produce the starch, which contains 52% of amylose. The actual response was closely agreeable with confirmatory test. In this study, RSM was a useful and efficient tool to guide the researchers in finding direction to the highest potential amylose production.