李明珠,那平,乔斌.化学通报,2019,82(12):1073-1078.
模型与统计在液相色谱开发中的应用
Application of Model and Statistics in Liquid Chromatography Development
投稿时间:2019-06-05  修订日期:2019-08-22
DOI:
中文关键词:  色谱柱表征数据库,定量结构保留关系,色谱柱选择
英文关键词:HPLC column characterization databases, Quantitative structure-retention relationships, Column selection
基金项目:国家重点基础研究发展计划(973计划)
作者单位E-mail
李明珠 天津大学化工学院 天津 300350 1849063633@qq.com 
那平 天津大学化工学院 天津 300350  
乔斌* 天津大学化工学院 天津 300350 jobin@tju.edu.cn 
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中文摘要:
      高效液相色谱法是现代分析中最常用的分离分析技术,色谱柱的分类和选择是分析方法开发和验证的重要组成部分。本文主要对近年来数学模型和统计在色谱开发中的应用进展进行综述,包括色谱柱表征数据库和定量结构保留关系模型的改进与应用、计算机技术对于色谱开发领域的推进、色谱柱表征体系在色谱柱选择中的最新应用以及超高压液相色谱柱的模型研究进展,并对计算机技术结合分子模拟、人工神经网络在色谱开发中的应用前景进行展望。
英文摘要:
      High performance liquid chromatography(HPLC)is the most commonly used technique in separation and analysis at present. The classification and selection of columns are the important parts of analytical method development and validation. In this paper, the recent progresses in the application of mathematical models and statistical method in chromatographic development are. reviewed. The improvement and application of HPLC column characterization databases and quantitative structure retention relationship model are summarized. The newest progresses in computer technology used in HPLC development, the HPLC column classification system applied in column selection and ultrahigh pressure liquid chromatography column characterization model are also introduced. In addition, the future prospects for application of computer technology combined with molecular simulation and artificial neural network in HPLC development are expected.
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