Response surface methodology case studies

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. 

Optimization of reaction conditions for enzyme assays has traditionally been carried out by varying a single factor and studying its effect on the reaction rate, then repeating the experiment with a second factor and so on until effects of all the variables have been tested. An optimal combination of variables is selected on the basis of these experiments, and the validity of die chosen conditions is verified. Not only is this approach labor intensive, but it also is not well adapted to situations in which the effects of different variables are interdependent, as is frequently the case in enzyme analysis. This traditional empirical approach to optimization has been replaced by newer techniques of simplex cooptimization and response-surface methodology."... 

Factor Response Surface Methodology Case Study 2—Granulation Milling for Particle-Size Control ... 

Case study 3—Dissolution and Residual Solvent Control in Tablet Coating A Three-Factor Response Surface Methodology... 

Subsequently, we need to understand how the critical inputs affect the critical outputs (item 4). A second type of designed experiment, called response surface methodology (RSM), is used to accomplish this task. Sometimes we are fortunate and know the equation in advance. For example, the equation for dosage above is D = V x C. However, when the equation is not known, a DOE can be used to empirically fit a model. A response surface study is also presented as part of this case study. 

Betiku, E., Omilakin, O.R., et al., 2014. Mathematical modeling and process parameters optimization studies by artificial neural network and response surface methodology a case of non-edible neem Amdirachta indica) seed oil biodiesel synthesis. Energy 72, 266—273. 

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