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Study of Retention in Micellar Liquid Chromatography on a C18 Column on the Basis of Linear Solvation Energy Relationships

机译:基于线性溶剂能关系的C18柱胶束液相色谱保留分析

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In this study,8 solutes (aniline,caffeine,p-cresol,ethyl benzene,methylparaben,phenol,pyridine,and toluene) have been tested in terms of linear solvation energy relationships (LSER).Several micellar liquid chromatography (MLC) systems using cationic surfactant cetyltrimethylammonium bromide (CTAB) and a mixture of water with (methanol,n-propanol,and n-butanol) modifiers were characterized using the LSER solvation parameter model.The effects of the surfactant and modifier concentration on the retention in MLC were discussed.LSER model had demonstrated high potential to predict retention factors with high squared correlation coefficients (r~2 > 0.99).A comparison of predicted and experimental retention factors suggests that LSER formalism is able to reproduce adequately the experimental retention factors of the solutes studied in the different experimental conditions investigated.This model is a helpful tool to understand the solute-surfactant interactions and evaluate the retention characteristic of micellar liquid chromatography.
机译:在这项研究中,已经根据线性溶剂化能量关系(LSER)测试了8种溶质(苯胺,咖啡因,对甲酚,乙苯,对羟基苯甲酸甲酯,苯酚,吡啶和甲苯)。几种胶束液相色谱(MLC)系统使用用LSER溶剂化模型表征了阳离子表面活性剂十六烷基三甲基溴化铵(CTAB)和水与(甲醇,正丙醇和正丁醇)改性剂的混合物的性质。探讨了表面活性剂和改性剂浓度对MLC保留的影响.LSER模型显示出具有高平方相关系数(r〜2> 0.99)的预测保留因子的潜力。预测保留因子和实验保留因子的比较表明LSER形式主义能够充分再现所研究溶质的实验保留因子。该模型是了解溶质-表面活性剂相互作用和评估保留炭的有用工具胶束液相色谱的特性。

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