CENTRAL COMPOSITE DESIGN (CCD) USING RESPONSE SURFACE METHODOLOGY OF LOCALLY-PRODUCED-XYLOSE-REDUCTASE PURIFICATION BY REVERSE MICELLE

Abstract

Enzyme purification is one of the essential methods in this study since the availability of the reusable enzyme is needed. Mathematical modeling used in this study was response surface methodology (RSM) and the tool used was the design of expert (DOE) software. The aim of using the tools was to optimize the significance of variables involved in the enzyme purification process for enhancing the capability of enzyme recovery. The OFAT of enzyme purification was conducted under the concentration of surfactant (2.3% – 2.7%), range of pH (4.5 - 6.5), and concentration of salt, M (0.75 – 1.50). Further optimization by RSM was followed, and at the end, the optimum variables were the concentration of surfactant at 2.70%, pH at 6.48, and salt concentration at 0.8443M. The validation was repeated for the significant variables. The percentage error of the predicted vs. the actual value was only 0.91% which means the study of the enzyme purification by significance variables chose can be accepted.