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February 29, 2024Angewandte Chemie International Edition73 citations

Circular Dichroism Sensing: Strategies and Applications

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JFJeffrey S. S. K. FormenJHJames R. HowardEAEric V. Anslyn

Key Points

  • Chiroptical sensing streamlines chiral compound analysis for absolute configuration and enantiomeric composition, cutting operational time and cost.
  • Circular dichroism systems integrate machine learning assistance with multi-well plate readers, accelerating high-throughput screening pipelines.
  • Review of small-molecule circular dichroism sensors highlights chemometric processing, pointing toward automated chiroptical assay development.

Abstract

Abstract The analysis of the absolute configuration, enantiomeric composition, and concentration of chiral compounds are frequently encountered tasks across the chemical and health sciences. Chiroptical sensing methods can streamline this work and allow high‐throughput screening with remarkable reduction of operational time and cost. During the last few years, significant methodological advances with innovative chirality sensing systems, the use of computer‐generated calibration curves, machine learning assistance, and chemometric data processing, to name a few, have emerged and are now matched with commercially available multi‐well plate CD readers. These developments have reframed the chirality sensing space and provide new opportunities that are of interest to a large group of chemists. This review will discuss chirality sensing strategies and applications with representative small‐molecule CD sensors. Emphasis will be given to important milestones and recent advances that accelerate chiral compound analysis by outperforming traditional methods, conquer new directions, and pioneering efforts that lie at the forefront of chiroptical high‐throughput screening developments. The goal is to provide the reader with a thorough understanding of the current state and a perspective of future directions of this rapidly emerging field.

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Cite This Study

Formen et al. (2024) studied this question.

synapsesocial.com/papers/68e76cedb6db6435876e2841https://doi.org/10.1002/anie.202400767
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