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The present paper approaches the application of response surface methodology (RSM) in the optimization of variables for analytical methods development. Some basic principles of this multivariate method are presented and characteristics of the main experimental designs are discussed. Examples of RSM application for optimization of analytical methods is also presented to illustrate the potentialities of these chemometric tools.
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Novaes et al. (2017) studied this question.
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