DISPERSION IN MICELLER ELECTROKINETIC CHROMATOGRAPHY

描述：这项研究的目标是确定定量 解释胶束中板数N依赖关系的理论 电动毛细管电泳色谱(MEKC)参数：1)有组织介质 浓度，2)有机改性剂浓度，3)缓冲型，4)缓冲剂 浓度；5)缓冲液pH。MEKC是一种高分辨率电动 层析最早于1984年报道，现已广泛应用于 对与健康有关的职业感兴趣的化合物的分析，包括 卟啉，血卟啉，衍生氨基酸，莫替林，胰岛素， 血管紧张素、多肽、黄嘌呤、核苷、 核苷酸、寡核苷酸、苯并(A)芘加成的DNA、儿茶酚 儿茶酚胺、维生素、巴比妥酸盐、抗生素、类固醇和 虐待。目前对MEKC分离的优化仅限于 然而，经验方法，因为关于N的理论是不完整的。这 研究将扩展和验证N的理论，通过这些理论可以进行优化 已实现。针对不同约束的一系列优化， 例如分辨率、时间、成本等。 研究方法是基于N的分析模型，该模型已被 在低电场强度下进行了验证。这一理论解释了 纵向扩散和塞子大小对N的贡献。这一理论是 在解释流动性变化的能力方面相当复杂 扩散系数随温度的变化。作为上述五个参数 都是多种多样的，S模型对N的预测与 实验测定的N S可以定量地与以下措施相关 由纵向扩散和塞子以外的源引起的弥散 尺码。然后，这些衡量标准可以与理论上估计的 按标准方法计算的离散度，以符合或驳斥 假设的分散机制的有效性。通过实现一个 系统的实验计划与这个模型相结合，人们应该 弄清楚N对这些参数的依赖关系。

DESCRIPTION: The objective of this study is to determine quantitative theory that explains the dependence of plate number N in micellar electrokinetic chromatography (MEKC) on the parameters, 1) organized-media concentration, 2) organic-modifier concentration, 3) buffer type, 4) buffer concentration, and 5) buffer pH. MEKC is a high-resolution electrokinetic chromatography first reported in 1984 that has been used widely in the analysis of compounds of interest to health-related professions, including porphyrins, haematoporphyrins, derivatized amino acids, motilins, insulins, angiotensins, peptides, xanthines, purins, purines, nucleosides, nucleotides, oligonucleotides, benzo(a)pyrene-adducted DNAs, catechols, catecholamines, vitamins, barbiturates, antibiotics, steroids, and drugs of abuse. The current optimization of MEKC separations is restricted to empirical approaches, however, because theories for N are incomplete. This study will extend and verify theories for N, by which optimization can be achieved. A family of optimizations with respect to different constraints, e.g., resolution, time, cost, etc., can be envisioned. The research method is based on an analytical model for N that has been verified at low electric field strengths. This theory accounts for contributions to N from longitudinal diffusion and plug size. The theory is fairly sophisticated in its ability to account for variations of mobility and diffusion coefficient with temperature. As the above five parameters are varied, deviations between the model s prediction of N and experimentally determined N s can be related quantitatively to measures of dispersion caused by sources other than longitudinal diffusion and plug size. These measures then can be compared to theoretical estimates of dispersion, as calculated by standard means, to conform or refute the validity of the postulated dispersion mechanism. By implementing a systematic experimental program in conjunction with this model, one should make clear the dependence of N on these parameters.