Response surface methodology results

For the PS case, a three-variable Box-Behnken response surface methodology (RSM) design using formulation variables has been carried out. For the RF system, an eight-variable fractional-factorial screening study was done first to select significant factors, and this was followed by two RSM s which were similar in design to the one done for PS. The results have led directly to substantial improvements in both materials. 

In addition to the basic methods such as SIMPLEX, other key methods for value chain management are the response surface methodology (RSM) to find a global optimum in a multi-dimensional simulation result surface (Merkuryeva 2005) or simulated annealing applied in the chemical production to find optima e.g. for reaction temperatures (Faber et al. 2005). 

An alternative approach is to regard the enviroiunental variables as standard experimental variables and to apply the techniques associated with response surface methodology to the combined set of design and environmental variables (see Welch, Yu, Kang, and Sacks [36], Shoemaker, Tsui, and Wu [37], and Box and Jones [38]). This approach can result in considerably smaller and therefore cheaper experiments. 

R2 Results for the Modeling of the "Dissolution of a Drug" with Two ANN Networks (GFF-MLP, SOFM-MLP) and the Response Surface Methodology (RSM)... 

RSM yields the maximum amount of information from the minimum amount of work. For example, in the one-variable-at-a-time approach, shown in Fig, 1, ten experiments were run only to find the suboptimum conditions. However, using RSM and thirteen properly designed experiments not only would the true optimum have been found, but also the information necessary to design the process would have been made available. Secondly, since all of the experiments can be run simultaneously, the results could be obtained quickly. This is the power of response surface methodology. 

These principles formed the basis for producing high quality carrots and potatoes by a process of biopolymer infusion followed by high temperature short time fluidized bed dehydration. Infused biopolymers was shown to penetrate intracellular spaces and cell walls and may contribute to reduced cell collapse in the dehydration process. Deposition of infused biopolymer within the cells was elucidated using a convalently bound complex of biopolymer and colored dye which was visible upon histochemical examinations under a microscope. The dehydration process was optimized with response surface methodology. The resulting products have excellent quality, high rehydration ratio and a puffed structure. 

Table 5.2. Response surface methodology design and results [25].

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. 

The first improvement uses a Response Surface Methodology to reduce the calculation time. It takes advantage of the special properties of the optimisation problems. The result is a highly efficient procedure for interval and especially fuzzy finite element... 

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