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The two retention models, the linear solvent strength model (LSS) and the   quadratic relationship, in addition to artificial neural network (ANN)   approach, were compared in their ability to predict the retention behaviour   of common cations (Li, Na, NH4, K, Mg, and Ca) in isocratic ion   chromatography using the methanesulfonic acid (MSA) eluent. Over wide   variations in the MSA concentration, the quadratic model shows a quite good   prediction power. LSS can be used only for monovalent cations and in the   proximity of the experimental design point. ANN fails to predict the   retention for the data not included in the training set. To find the optimal   conditions in the experimental design, the normalized resolution product as a   chromatographic objective function was employed. The optimum MSA   concentration in the eluent on a Dionex CS12 column was found to be 18 mM,   with the total analysis time of less than 10 min. [Projekat Ministarstva   nauke Republike Srbije, br. III43009

Modelling of cations retention in ion chromatography with methanesulfonic acid as eluent