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采用间接紫外检测的毛细管电泳法对金属阳离子分离的预测与优化

Prediction and optimization of the separation of metal cations by capillary electrophoresis with indirect UV detection.

作者信息

Quang C, Khaledi M G

机构信息

Department of Chemistry, North Carolina State University, Raleigh 27695.

出版信息

J Chromatogr A. 1994 Jan 28;659(2):459-66. doi: 10.1016/0021-9673(94)85087-9.

DOI:10.1016/0021-9673(94)85087-9
PMID:8124473
Abstract

The migration of metal cations in capillary electrophoresis with indirect UV detection was investigated. A mathematical model was used to relate the electrophoretic mobility of a metal cation with two background electrolyte factors: the pH and the concentration of a complexing agent. Imidazole, which has an electrophoretic mobility close to those of metal cations, was used as the visualization agent, and 2-hydroxyisobutyric acid (HIBA) was used as the complexing agent. Through computer modeling, the electrophoretic mobilities of fourteen metal cations were predicted on the basis of five initial experiments within the factor space of pH and HIBA concentration. Good agreement was observed between the predicted electrophoretic mobilities and the observed values of the metal cations. Subsequently, the separation of a complex mixture of metal cations was successfully optimized. A complete separation of 14 metal cations including alkali, alkaline earth and transition metal(II) cations was achieved within 4 min. In addition, the effectiveness of other visualization agents and complexing agents for the separation of metal cations was examined.

摘要

研究了在间接紫外检测的毛细管电泳中金属阳离子的迁移情况。使用数学模型将金属阳离子的电泳迁移率与两种背景电解质因素联系起来:pH值和络合剂浓度。咪唑的电泳迁移率与金属阳离子相近,用作可视化剂,2-羟基异丁酸(HIBA)用作络合剂。通过计算机建模,在pH值和HIBA浓度的因子空间内基于五个初始实验预测了十四种金属阳离子的电泳迁移率。预测的电泳迁移率与金属阳离子的观测值之间观察到良好的一致性。随后,成功优化了金属阳离子复杂混合物的分离。在4分钟内实现了包括碱金属、碱土金属和过渡金属(II)阳离子在内的14种金属阳离子的完全分离。此外,还研究了其他可视化剂和络合剂对金属阳离子分离的有效性。

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