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计算机辅助优化液相色谱中的多线性梯度洗脱。

Computer aided optimization of multilinear gradient elution in liquid chromatography.

机构信息

Changzhou Vocational Institute of Engineering, School of Inspection and Testing Certification, Changzhou 213164, China; High-Tech Research Institute of Nanjing University, Changzhou 213164, China.

Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China.

出版信息

J Chromatogr A. 2021 Jan 4;1635:461754. doi: 10.1016/j.chroma.2020.461754. Epub 2020 Nov 26.

Abstract

Analytical expressions for retention time and peak compression factor are deduced by assuming quadratic solvent strength model and multilinear gradient elution. Based on these expressions, a program for the optimization of multilinear gradient profile is written with Visual Basic for Applications in Excel using genetic algorithm. The program is applied to search for a gradient profile for the separation of twelve compounds that are degraded from lignin. It is shown that the predicted and experimental chromatograms are well consistent. A better separation of the compounds is achieved under an S-shaped multilinear gradient profile than that obtained under linear gradient profile.

摘要

通过假设二次溶剂强度模型和多线性梯度洗脱,推导出保留时间和峰压缩因子的解析表达式。基于这些表达式,使用 Excel 中的应用程序 Visual Basic 编写了一个使用遗传算法对多线性梯度轮廓进行优化的程序。该程序用于搜索分离木质素降解的十二种化合物的梯度轮廓。结果表明,预测和实验色谱图吻合良好。与线性梯度轮廓相比,S 形多线性梯度轮廓可实现更好的化合物分离。

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