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  • P-ISSN 1225-0163
  • E-ISSN 2288-8985

Iterative Regression Optimization of Two-Parameters in Micellar Liquid Chromatography

Analytical Science and Technology / Analytical Science and Technology, (P)1225-0163; (E)2288-8985
1993, v.6 no.3, pp.267-274
Kim, In-Whan
Kim, Sang-Tae
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Abstract

The iterative regression optimization strategy using two parameters is described and applied to the separation of amino acids and peptides by means of micellar liquid chromatography. The parameters examined are concentration of surfactant and 2-propanol. This approach results in a efficient optimization using a small number of initial experiments.

keywords
Micellar Liquid Chromatography, Optimization Separation of Amino acids and Peptides


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Analytical Science and Technology