CARBOXYLIC-ACIDS - PREDICTION OF RETENTION DATA FROM CHROMATOGRAPHIC AND ELECTROPHORETIC BEHAVIORS

A review of the main results reached in the prediction of retention da ta of carboxylic acids, inferred by their chromatographic and electrop horetic behaviour, is presented. Attention has been focused on the mai n separation methods used in carboxylic acids analysis, that is ion-ex clusion, anion-exchange, reversed-phase (RP) liquid chromatography and capillary electrophoresis. Papers proposing mechanistic models as wel l as chemometric and multilayer feed-forward neural network analysis o f ion chromatography (IC) and RP chromatographic retention data were r eviewed. Principal component analysis, PCA, sequential simplex method and simultaneous modelling of response surfaces through simple nonline ar models (not related to equilibria involved in retention) have been considered. Computer simulations for the prediction of retention data have also been discussed. A quick overlook on the prediction of capaci ty factors of analytes by less common determination methods such as th in-layer, gas chromatography and supercritical fluid chromatography ha s also been done. (C) 1998 Elsevier Science B.V. All rights reserved.