“…In recent years, in order to predict the optimal separation conditions with the minimum number of experiments, several strategies in MEKC have been reported [1,2]. As an example, it can be cited the overlapping resolution mapping (ORM) [3][4][5][6][7][8][9], iterative regression strategies [10], physicochemical approaches [11][12][13][14], empirical equations [15][16][17][18], and artificial neural networks (ANNs) [19]. In order to carry out these studies, several designs can be used, e.g., the Plackett-Burman design [20,21] and the orthogonal array design (OAD) [22] which are factorial designs suitable for screening the influence of many parameters and to monitor possible interactions among a large number of factors, or the central composite design [23,24] that can provide a response surface for the prediction of areas of optimum performance.…”