Department of Process & Analytical Chemistry, Merck Research Laboratories , Rahway, New Jersey 07065, United States.
Department of Chemistry, Bates College , Lewiston, Maine 04240, United States.
ACS Cent Sci. 2016 May 25;2(5):332-40. doi: 10.1021/acscentsci.6b00062. Epub 2016 Apr 20.
The use of NMR chiral solvating agents (CSAs) for the analysis of enantiopurity has been known for decades, but has been supplanted in recent years by chromatographic enantioseparation technology. While chromatographic methods for the analysis of enantiopurity are now commonplace and easy to implement, there are still individual compounds and entire classes of analytes where enantioseparation can prove extremely difficult, notably, compounds that are chiral by virtue of very subtle differences such as isotopic substitution or small differences in alkyl chain length. NMR analysis using CSAs can often be useful for such problems, but the traditional approach to selection of an appropriate CSA and the development of an NMR-based analysis method often involves a trial-and-error approach that can be relatively slow and tedious. In this study we describe a high-throughput experimentation approach to the selection of NMR CSAs that employs automation-enabled screening of prepared libraries of CSAs in a systematic fashion. This approach affords excellent results for a standard set of enantioenriched compounds, providing a valuable comparative data set for the effectiveness of CSAs for different classes of compounds. In addition, the technique has been successfully applied to challenging pharmaceutical development problems that are not amenable to chromatographic solutions. Overall, this methodology provides a rapid and powerful approach for investigating enantiopurity that compliments and augments conventional chromatographic approaches.
NMR 手性溶剂(CSA)用于分析对映纯度已有数十年的历史,但近年来已被色谱对映体分离技术所取代。虽然用于分析对映纯度的色谱方法现在已很常见且易于实施,但仍有个别化合物和整个类别的分析物,对映体分离可能非常困难,特别是那些由于同位素取代或烷基链长度的微小差异而具有手性的化合物。使用 CSA 的 NMR 分析通常可用于此类问题,但传统的选择合适 CSA 和开发基于 NMR 的分析方法的方法通常涉及反复试验的方法,这可能相对较慢且繁琐。在这项研究中,我们描述了一种高通量实验方法,用于选择 NMR CSA,该方法以系统的方式自动筛选预先制备的 CSA 库。该方法对一组标准的手性富集化合物可获得出色的结果,为 CSA 对不同类化合物的有效性提供了有价值的比较数据集。此外,该技术已成功应用于难以通过色谱方法解决的药物开发问题。总的来说,该方法为研究对映纯度提供了一种快速而强大的方法,补充和增强了传统的色谱方法。