A novel method is proposed for optimization of simultaneous thinlayer chromatographic separation of seven amino acids. For this purpose we used a useful combination of genetic algorithms (GA) with artificial neural networks (ANN). Methods investigated in this work were successfully used for prediction of resolution (RS) and optimization of the thin-layer chromatographic separation of model solutions containing the seven compound. Very good correlation was achieved between predicted and calculated RS data, and low absolute and relative errors were obtained.
B. Hudson, D.J. Livingstone, E. Rahr, J. Comput. Aided Mol. Des. 3 (1989) 55–65.
Rahr E., '' (1989) 3J. Comput. Aided Mol. Des.: 55-65.