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
Kim,
I., &
Kim,
S.
(1993). Iterative Regression Optimization of Two-Parameters in Micellar Liquid Chromatography. Analytical Science and Technology, 6(3), 267-274.
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
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Micellar Liquid Chromatography,
Optimization Separation of Amino acids and Peptides