毛细管区带电泳中混合水-甲醇缓冲液中电泳迁移率的数学表示

A. Jouybana, H. K. Chan, B. J. Clark, E. Kenndler
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引用次数: 7

摘要

在药物开发计划中,不断探索提高开发阶段的速度。但是,在寻找合适的药物和生物医学分析方法上通常要花费大量的精力和时间。相比之下,本文提出了一个数学模型来关联/预测不同浓度有机改性剂下毛细管电泳中酸性和碱性分析物的电泳迁移率。该模型可以帮助分析人员找到有机改性剂的最佳浓度,以成功进行分析。所提出模型的准确性和可预测性已通过生成的迁移率数据(水-甲醇混合运行缓冲液中的五种基本药物)和从最近出版物收集的先前发表的数据集得到证明。使用该模型,相关方程和预测方程的平均百分比误差分别为0.64和1.35%。该模型的准确性也与先前发表的结果具有可比性的模型进行了检验。©2001 John Wiley &[J]微型电子,2001年9月13日:346-350
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical representation of electrophoretic mobility in mixed aqueous-methanolic buffers in capillary zone electrophoresis

In a drug development program improved speed of the development phase is constantly being explored. But much effort and time is usually expended in finding suitable methods for pharmaceutical and biomedical analyses. In contrast, a mathematical model has been presented here to correlate/predict electrophoretic mobility of acidic and basic analytes in capillary electrophoresis at different concentrations of organic modifier. This model could help analysts to find the optimum concentration of organic modifier for a successful analysis. The accuracy and predictability of the proposed model have been shown using generated mobility data (five basic drugs in water-methanol mixed running buffer) and previously published data sets collected from a recent publication. Using this model the average percentage errors for correlative and predictive equations were 0.64 and 1.35%, respectively. The accuracy of the model was also examined against those of previously published models where the results are comparable. © 2001 John Wiley & Sons, Inc. J Micro Sep 13: 346–350, 2001

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