A Comparison of Three Automated Approaches to HPLC Optimization

1 February 1986

journal article
Published by Oxford University Press (OUP) in Journal of Chromatographic Science

Vol. 24 (2) , 70-75
https://doi.org/10.1093/chromsci/24.2.70

Abstract

Three automated approaches to HPLC optimization were studied: a mixture design statistical technique, an adaptive intelligence algorithm, and a simplex algorithm. The methods and the chromatographic response functions (CRFs) are described. A reversed-phase separation of a six-component test mixture was optimized using each method. The mobile phase, analysis time, and separation quality for the optimized separations are compared.

Keywords

ADAPTIVE
OPTIMIZED
RESPONSE FUNCTIONS
ALGORITHM
AUTOMATED APPROACHES
HPLC OPTIMIZATION
MOBILE
MIXTURE DESIGN
DESIGN STATISTICAL

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