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胶束电动色谱中的单体和聚合阴离子双子表面活性剂及混合表面活性剂体系。第二部分:使用两种线性溶剂化能关系模型表征化学选择性。

Monomeric and polymeric anionic gemini surfactants and mixed surfactant systems in micellar electrokinetic chromatography. Part II: characterization of chemical selectivity using two linear solvation energy relationship models.

作者信息

Akbay Cevdet, Agbaria Rezik A, Warner Isiah M

机构信息

Department of Natural Sciences, Fayetteville State University, Fayetteville, NC, USA.

出版信息

Electrophoresis. 2005 Jan;26(2):426-45. doi: 10.1002/elps.200406164.

Abstract

Sodium di(undecenyl) tartarate monomer (SDUT), a vesicle-forming amphiphilic compound possessing two hydrophilic carboxylate headgroups and two hydrophobic undecenyl chains, was prepared and polymerized to form a polymeric vesicle (i.e., poly-SDUT). The anionic surfactants of SDUT and poly-SDUT (carboxylate head group) and sodium dodecyl sulfate, SDS (sulfate head groups) as well as mixed surfactant systems (SDS/SDUT, SDS/poly-SDUT, and SDUT/poly-SDUT) were applied as pseudostationary phases in micellar electrokinetic chromatography (MEKC). Two linear solvation energy relationship (LSER) models, i.e., solvatochromic and solvation parameter models, were successfully applied to investigate the effect of the type and composition of pseudostationary phases on the retention mechanism and selectivity in MEKC. The solvatochromic and solvation parameter models were used to help understand the fundamental nature of the solute-pseudostationary phase interactions and to characterize the properties of the pseudostationary phases (e.g., solute size and hydrogen bond-accepting ability for all pseudostationary phases). The solute types were found to have a significant effect on the LSER system coefficients and on the predicted retention factors. Although both LSER models provide the same information, the solvation parameter model is found to provide much better results both statistically and chemically than the solvatochromic model.

摘要

制备了具有两个亲水性羧酸盐头基和两条疏水性十一碳烯基链的成囊两亲化合物酒石酸二(十一碳烯基)钠单体(SDUT),并将其聚合以形成聚合物囊泡(即聚SDUT)。将SDUT和聚SDUT的阴离子表面活性剂(羧酸盐头基)、十二烷基硫酸钠(SDS,硫酸根头基)以及混合表面活性剂体系(SDS/SDUT、SDS/聚SDUT和SDUT/聚SDUT)用作胶束电动色谱(MEKC)中的假固定相。成功应用了两种线性溶剂化能关系(LSER)模型,即溶剂显色模型和溶剂化参数模型,来研究假固定相的类型和组成对MEKC中保留机制和选择性的影响。溶剂显色模型和溶剂化参数模型用于帮助理解溶质-假固定相相互作用的基本性质,并表征假固定相的性质(例如,所有假固定相的溶质大小和氢键接受能力)。发现溶质类型对LSER系统系数和预测的保留因子有显著影响。尽管两种LSER模型提供相同的信息,但发现溶剂化参数模型在统计和化学方面都比溶剂显色模型提供更好的结果。

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