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Assignment-free chirality detection in unknown samples via microwave three-wave mixing.
Koumarianou, Greta; Wang, Irene; Satterthwaite, Lincoln; Patterson, David.
Afiliação
  • Koumarianou G; Physics Department, University of California, Santa Barbara, Santa Barbara, CA, USA. gkoumarianou@ucsb.edu.
  • Wang I; Department of Chemistry and Biochemistry, University of California, Santa Barbara, Santa Barbara, CA, USA. gkoumarianou@ucsb.edu.
  • Satterthwaite L; Physics Department, University of California, Santa Barbara, Santa Barbara, CA, USA.
  • Patterson D; Physics Department, University of California, Santa Barbara, Santa Barbara, CA, USA.
Commun Chem ; 5(1): 31, 2022 Mar 14.
Article em En | MEDLINE | ID: mdl-36697786
ABSTRACT
Straightforward identification of chiral molecules in multi-component mixtures of unknown composition is extremely challenging. Current spectrometric and chromatographic methods cannot unambiguously identify components while the state of the art spectroscopic methods are limited by the difficult and time-consuming task of spectral assignment. Here, we introduce a highly sensitive generalized version of microwave three-wave mixing that uses broad-spectrum fields to detect chiral molecules in enantiomeric excess without any prior chemical knowledge of the sample. This method does not require spectral assignment as a necessary step to extract information out of a spectrum. We demonstrate our method by recording three-wave mixing spectra of multi-component samples that provide direct evidence of enantiomeric excess. Our method opens up new capabilities in ultrasensitive phase-coherent spectroscopic detection that can be applied for chiral detection in real-life mixtures, raw products of chemical reactions and difficult to assign novel exotic species.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Commun Chem Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Commun Chem Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos