Chinese Journal of Chromatography ›› 2015, Vol. 33 ›› Issue (2): 140-145.DOI: 10.3724/SP.J.1123.2014.09040

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Regression evaluation index intelligent filter method for quick optimization of chromatographic separation conditions

GAN Wei1, LIU Xuemin2, SUN Jing1   

  1. 1. Chongqing Environmental Monitoring Center, Chongqing 401147, China;
    2. Chongqing Huineng Biaopu Technology Co., Ltd., Chongqing 401117, China
  • Received:2014-09-25 Revised:2014-12-10 Online:2015-02-08 Published:2015-01-24

Abstract:

This paper presents a method of regression evaluation index intelligent filter method (REIFM) for quick optimization of chromatographic separation conditions. The hierarchical chromatography response function was used as the chromatography-optimization index. The regression model was established by orthogonal regression design. The chromatography-optimization index was filtered by the intelligent filter program, and the optimization of the separation conditions was obtained. The experimental results showed that the average relative deviation between the experimental values and the predicted values was 0.18% at the optimum and the optimization results were satisfactory.

Key words: chromatographic condition optimization, hierarchical chromatography response function, high performance liquid chromatography (HPLC), orthogonal regression design, regression evaluation index intelligent filter method

CLC Number: