首页> 外文学位 >An evaluation of the enantiomeric recognition of amino acid based polymeric surfactants and cyclodextrins using spectroscopic and chromatographic methods.
【24h】

An evaluation of the enantiomeric recognition of amino acid based polymeric surfactants and cyclodextrins using spectroscopic and chromatographic methods.

机译:使用光谱和色谱法评估氨基酸基聚合物表面活性剂和环糊精的对映体识别。

获取原文
获取原文并翻译 | 示例

摘要

The scope of this dissertation is to explore the enantiomeric recognition properties of amino acid based polymeric surfactants using a combination of analytical techniques including chromatographic and spectroscopic methods. Chapter 1 includes an introduction to chirality and chiral separations using capillary electrophoresis. Using cyclodextrin modified micellar electrokinetic chromatography (CD-MEKC), the enantioseparation of three binaphthyl derivatives using native beta- and gamma-cyclodextrins in combination with various diastereomers of chiral polymeric surfactants (PS) was examined. A reversal of enantiomeric order was observed with the enantiomers of (+/-)1,1'-binaphthyl-2,2'-diamine (BNA) and (+/-)1,1'-binaphthyl (BOH) due to a competition between the two chiral selectors for the same enantiomer. Overall trends observed for the analytes were discussed in terms of selectivity and resolution values for each possible combination of CD and PS. In a subsequent study, the dipeptide micelle polymer, poly (sodium N-undecanoyl-L-leucylvalinate) p-(L-SULV), was used as the sole chiral discriminator in an extensive chiral screening program for the separation of 75 racemic drug compounds. P-(L-SULV) was developed in our lab based on information gleaned from previous studies and our understanding of chiral separation mechanisms. A total of 58 out of 75 compounds were resolved using p-(L-SULV) thereby establishing the dipeptide as a broadly applicable chiral selector for micellar electrokinetic chromatography (MEKC). Complementary analytical methods (MEKC, nuclear magnetic resonance (NMR), and steady-state fluorescence anisotropy) were used to elucidate the chiral separation mechanisms involving the dipeptide p-(L-SULV). An MEKC technique developed by our group was used to determine the primary site of interaction which leads to the enantioseparation of a select group of analytes. Subsequently, NOESY NMR used as a validation tool in certain instances where MEKC results were inconclusive. For example, while MEKC results were ambiguous regarding the primary site of interaction, NOESY NMR results strongly suggested that the analyte Troger's Base interacted primarily with the valine chiral center. In addition, the alpha vs. beta relationship, first introduced by our group, was validated using p-(L-SULV) as the chiral selector. The fluorescence studies revealed a correlation between the chromatographic parameter, selectivity (alpha) and the spectroscopic parameter, beta.
机译:本论文的范围是结合分析技术,包括色谱和光谱方法,探索基于氨基酸的聚合物表面活性剂的对映体识别性能。第1章介绍了使用毛细管电泳的手性和手性分离。使用环糊精修饰的胶束电动色谱(CD-MEKC),使用天然的β-和γ-环糊精与手性聚合物表面活性剂(PS)的各种非对映异构体组合,对三种联萘衍生物的对映体进行了检测。观察到对映体顺序的逆转是由于(+/-)1,1'-联萘-2,2'-二胺(BNA)和(+/-)1,1'-联萘(BOH)同一对映体的两个手性选择剂之间的竞争。关于CD和PS每种可能组合的选择性和分离度值,讨论了观察到的分析物的总体趋势。在随后的研究中,在广泛的手性筛选程序中,二肽胶束聚合物聚(N-十一烷酰基-L-亮氨酰缬氨酸钠)对-(L-SULV)被用作唯一的手性鉴别剂,用于分离75种外消旋药物化合物。 P-(L-SULV)是在我们的实验室中基于先前研究中收集的信息以及我们对手性分离机理的理解而开发的。使用p-(L-SULV)分离了75种化合物中的58种,从而确立了二肽作为胶束电动色谱(MEKC)广泛适用的手性选择剂。互补的分析方法(MEKC,核磁共振(NMR)和稳态荧光各向异性)用于阐明涉及二肽p-(L-SULV)的手性分离机理。我们小组开发的MEKC技术用于确定相互作用的主要部位,该相互作用导致所选分析物组的对映体分离。随后,在MEKC结果不确定的某些情况下,NOESY NMR用作验证工具。例如,尽管MEKC结果关于相互作用的主要位点尚不明确,但NOESY NMR结果强烈表明,分析物Troger's Base主要与缬氨酸手性中心相互作用。此外,我们小组首次引入的α与β关系已通过p-(L-SULV)作为手性选择剂进行了验证。荧光研究揭示了色谱参数选择性(α)和光谱参数β之间的相关性。

著录项

  • 作者

    Valle, Bertha Cedillo.;

  • 作者单位

    Louisiana State University and Agricultural & Mechanical College.;

  • 授予单位 Louisiana State University and Agricultural & Mechanical College.;
  • 学科 Chemistry Analytical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 183 p.
  • 总页数 183
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号