Simultaneous Enantiospecific Detection of Multiple Compounds in Mixtures using NMR Spectroscopy.

Angew Chem Int Ed Engl

Servei de Ressonància Magnètica Nuclear, Facultat de Ciències i Biociències, Universitat Autònoma de Barcelona, 08193, Cerdanyola del Vallès, Catalonia, Spain.

Published: December 2020

AI Article Synopsis

  • Chirality is vital in nature, but detecting and analyzing chiral molecules in mixtures remains challenging due to the need for prior separation.
  • The study demonstrated the first in situ enantiospecific detection of a complex mixture containing 39 components, successfully identifying 18 essential amino acids.
  • This groundbreaking approach using NMR spectroscopy and a chiral solvating agent paves the way for better analysis of complex mixtures, potentially enhancing research in metabolism and other scientific fields.

Article Abstract

Chirality plays a fundamental role in nature, but its detection and quantification still face many limitations. To date, the enantiospecific analysis of mixtures necessarily requires prior separation of the individual components. The simultaneous enantiospecific detection of multiple chiral molecules in a mixture represents a major challenge, which would lead to a significantly better understanding of the underlying biological processes; for example, via enantiospecifically analysing metabolites in their native environment. Here, we report on the first in situ enantiospecific detection of a thirty-nine-component mixture. As a proof of concept, eighteen essential amino acids at physiological concentrations were simultaneously enantiospecifically detected using NMR spectroscopy and a chiral solvating agent. This work represents a first step towards the simultaneous multicomponent enantiospecific analysis of complex mixtures, a capability that will have substantial impact on metabolism studies, metabolic phenotyping, chemical reaction monitoring, and many other fields where complex mixtures containing chiral molecules require efficient characterisation.

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Source
http://dx.doi.org/10.1002/anie.202011727DOI Listing

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