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基于数据驱动的圆二色性校准曲线预测,用于快速筛选手性伯胺对映体过量值。

Data-Driven Prediction of Circular Dichroism-Based Calibration Curves for the Rapid Screening of Chiral Primary Amine Enantiomeric Excess Values.

机构信息

Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States.

Department of Chemistry, Georgetown University, Washington, D.C. 20057, United States.

出版信息

J Am Chem Soc. 2022 Sep 21;144(37):17269-17276. doi: 10.1021/jacs.2c08127. Epub 2022 Sep 6.

Abstract

Here, we describe the prediction of the circular dichroism (CD) response of a three-component chiroptical sensor for enantiomeric excess () determination of chiral amines using a multivariate fit to electronic and steric parameters. These computationally derived parameters can be computed for nearly any amine and correlate well with the CD response of the 12 amines comprising the training set. The resulting model was used to accurately predict the CD response of a test set of chiral amines. Theoretical calibration curves were then created and used to determine the of solutions of unknown . Using this method, the error in determination differed by less than 10% compared to experimentally generated calibration curves.

摘要

在这里,我们描述了使用电子和空间参数的多元拟合来预测手性胺对映体过量(ee)测定的三组分手性传感器的圆二色(CD)响应。这些通过计算得出的参数几乎可以用于任何胺类,并且与构成训练集的 12 种胺的 CD 响应很好地相关。所得模型用于准确预测一组测试用手性胺的 CD 响应。然后创建了理论校准曲线,并用于确定未知溶液的 ee。使用该方法,ee 的测定误差与实验生成的校准曲线相比相差不到 10%。

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