Response Surface Methodology optimal compositions

Chao Yuan [25] has optimized the preparation process of HP-)3-CDs. Reaction time (A) reaction temperature (B), dialysis time (C) were employed in the single factor experiment. Then, a central composite design of response surface methodology was used with the DS and yield response values. 

Optimization. The influence of the reaction parameters on the yield of the reaction were studied using response surface methodology (RSM). A central composite design was used and both canonical analysis of the second-order equation and discussion of the isoresponse curves were used for the interpretation of the results. 

The response surface methodology (RSM) is a combination of mathematical and statistical techniques used to evaluate the relationship between a set of eontrollable experimental factors and observed results. This optimization proeess is used in situations where several input variables influence some output variables (responses) of the system. The main goal of RSM is to optimize the response, whieh is influenced by several independent variables, with minimum number of experiments. The central composite design (CCD) is the most common type of seeond-order designs that used in RSM and is appropriate for fitting a quadratic surface [26,27]. 

Mu, Chen, Li, Zhang, and Jiang (2009) also smdied the effect of medium composition on the production of PLA by lactic acid bacteria. Attempting to optimize a medium for the commercial production of PLA, the authors used a response surface methodology and the results showed that addition of phenylpyruvic acid (PPA) increased the yield of PLA. The authors suggested that because the transamination step is a bottleneck in the synthesis of PLA, the addition of PPA allowed for a shortcut that bypassed the transamination of phenylalanine to PPA, which is normally the first step when phenylalanine is used as the source for PLA. 

Optimization of medium composition with response surface methodology Based on the previous Plackett-Burman screening test and the path of steepest ascent experiment design, response surface methodology was applied to determine the optimal conditions of these three significant factors, including initial inulin content, peptone, and liquid medium volume. 

Zhang, C.H., Ma, Y.J., Yang, F.X., Liu, W, Zhang, Y.D., 2009. Optimization of medium composition for but)fric acid production by Clostridium thermobutyricum using response surface methodology. Bioresource Technology 100 (18), 4284-4288. 

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