2014 Mansour Ghaffari-Moghaddam**, Zahra Yekke-Ghasemi**, Mostafa Khajeh*, Mansoureh Rakhshanipour*, Yamin Yasin***

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*Department of Chemistry, University of Zabol, Zabol, Iran
**Department of Chemistry, Ferdowsi University of Mashhad, Mashhad, Iran
***INTEC Education College, University Teknologi MARA, 40450 Shah Alam, Malaysia

There are very chemical reactions with very slow rates which can be catalyzed by enzymes. These biocatalysts need to moderate conditions for their catalytic activity and are stable in low temperature (between 1550C), average pH (510) and aqueous media. One of important things in enzymatic synthesis which has been recently noticed is the yield of reactions. Nowadays wide application of response surface methodology (RSM) was observed in organic chemistry. In one-variable-at-a-time technique only one parameter is changed and other parameters are kept at a constant level. It does not study the interactive effects among the variables, and does not illustrate the complete effects of the parameters on the process. Increasing the yield of product without increase in casts is carried out by modeling and optimization of reaction variables through statistical techniques such as RSM. In this paper, we reviewed some articles that used the RSM for optimization in the enzymatic synthesis.

Keywords: response surface methodology (RSM), biocatalysts, enzymatic synthesis, optimization

. 2014, 40 (3): 275-285