Abstract: Heuristic evolving latent projection(HELP) has been successfully applied in the resolution of coeluting chromatograms of the complicated systems. When the chromatogram tails, the selective region shown by the evolving latent projection graph(ELPG) may contain the information of the prior tailing components, on which unsatisfactory results may be obtained by using HELP. In this work, a region near the end of the tailing component, where the prior components have almost disappeared was chosen as the selective region; at the same time, a new quantitative method was presented: 2D data of the determined component was decomposed by principle component analysis(PCA), and the standard chromatogram will be induced into quantitation. An experimental system composed of enoxacin, norfloxacin and ciprofloxacin was resolved by HELP. It was shown that the HELP used can improve the resolution of tailing coeluting chromatograms greatly and give satisfactory quantitative results.

Key words: Heuristic evolving latent projection(HELP), Principle component analysis(PCA), Coeluting chromatograms, Tailing, Chemometrics