1. Simultaneous Enantiospecific Detection of Multiple Compounds in Mixtures using NMR Spectroscopy
- Author
-
Toby J. Athersuch, Teodor Parella, Kumar Motiram-Corral, Lars T. Kuhn, and Míriam Pérez-Trujillo
- Subjects
Magnetic Resonance Spectroscopy ,Resolution (mass spectrometry) ,SAMPLES ,Chemistry, Multidisciplinary ,multicomponent ,010402 general chemistry ,01 natural sciences ,H-1-NMR ,Catalysis ,CHIRAL MOLECULES ,NMR spectroscopy ,Still face ,simultaneous enantiospecific analysis ,Enantiomeric excess ,complex mixture ,mixture effect ,Science & Technology ,COMPLEX ,010405 organic chemistry ,Chemistry ,Organic Chemistry ,H-1 ,Stereoisomerism ,General Chemistry ,Nuclear magnetic resonance spectroscopy ,Combinatorial chemistry ,0104 chemical sciences ,DIFFERENTIATION ,RESOLUTION ,Physical Sciences ,ACID ,ENANTIOMERIC EXCESS ,Chirality (chemistry) ,D-SERINE ,03 Chemical Sciences - 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.
- Published
- 2020