This experimental approach (surface response methodology plus desirability) to multicriteria optimization has been applied to three cases of growing complexity. Furthermore, in the specific case of electroanalysis, an improvement in the signal may implicitly mean an increase of the signal in the blank, such that the “net signal” may not improve. It is clear that the improvement of the two responses forms the basis of the validation of any analytical method, and affects all the figures of merit: accuracy (trueness and precision), capability of detection, robustness, sensitivity, etc. The simultaneous optimization of a signal and of its variability is a generic question of interest to any chemical analyst. The aim of this paper is to show the usefulness of the desirability function to optimize instrumental responses obtained in instrumental analysis. Multicriteria optimization, widely used in engineering, does not much used in the optimization of analytical signals.
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