Resolution of Overlapping HPLC Signals of Enantiotropic Isomers using An Immune Algorithm-Genetic Algorithm

Shao Xueguang, Wang Lei, Zhang Xiaosong
(Department of Chemistry, University of Science and Technology of China, Hefei 230026)

Abstract Based on the advantage of immune algorithm and genetic algorithm, an immune algorithm-genetic algorithm (IA-GA) was applied to the fast resolution and quantitative determination of the overlapping HPLC signals of enantiotropic isomers. It was proven that completely overlapping HPLC signals of the enantiotropic isomers can be resolved by using the proposed IA-GA method. Meanwhile, the quantitative information of each component can also be obtained after the resolution. Overlapping HPLC signals of seven mixtures of doxycycline, 4-epianhydrotetracycline and anhydrotetracycline with different concentration were resolved and quantified. Results showed that the chromatographic signal of each component was completely extracted from experimental chromatogram of their mixture samples, and the recoveries lay between 95% and 106%.
Key words Immune algorithm, Genetic algorithm, Enantiotropic isomer, Resolution of overlapping HPLC signals