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

• 研究论文 • 上一篇    下一篇

回归正交评价指标智能筛选法用于色谱分离条件的快速优化

甘伟1, 刘学敏2, 孙静1   

  1. 1. 重庆市环境监测中心, 重庆 401147;
    2. 重庆惠能标普科技有限公司, 重庆 401117
  • 收稿日期:2014-09-25 修回日期:2014-12-10 出版日期:2015-02-08 发布日期:2015-01-24
  • 通讯作者: 甘伟

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

摘要:

建立了一种可用于色谱分离条件快速优化的回归正交评价指标智能筛选法。以串行色谱响应函数作为色谱条件优化指标,利用回归正交试验设计建立回归模型,并通过最优解智能筛选程序对综合性优化指标进行筛选,最终实现色谱分离条件的最优化。结果表明:实验测定值与预测值的平均相对偏差为0.18%,优化结果理想。

关键词: 串行色谱响应函数, 高效液相色谱法, 回归正交评价指标智能筛选法, 回归正交试验设计, 色谱条件的优化

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

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