Ultrafast diffusion-based unmixing of 1H NMR spectra-Reference-Cited by-同舟云学术

Ultrafast diffusion-based unmixing of 1H NMR spectra

Published:2021 Issue:19 Volume:57 Page:2384-2387
ISSN:1359-7345
Container-title:Chemical Communications
language:en
Short-container-title:Chem. Commun.

Author:

Mishra Rituraj¹²³⁴⁵^ORCID,Marchand Achille¹²³⁴⁵^ORCID,Jacquemmoz Corentin¹²³⁴⁵^ORCID,Dumez Jean-Nicolas¹²³⁴⁵^ORCID

Affiliation:

1. Université de Nantes

2. CNRS

3. CEISAM UMR 6230

4. F-44000 Nantes

5. France

Abstract

The NMR spectra of compounds in a mixture are separated in a few seconds using spatial parallelisation.

Funder

Conseil Régional des Pays de la Loire

H2020 European Research Council

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,General Chemistry,Ceramics and Composites,Electronic, Optical and Magnetic Materials,Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2021/CC/D0CC07757G

Reference29 articles.

1. Absolute Minimal Sampling of Homonuclear 2D NMR TOCSY Spectra for High-Throughput Applications of Complex Mixtures

2. Quantification of Complex Mixtures by NMR

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

4. Universal quantitative NMR analysis of complex natural samples

5. Local Covariance Order Diffusion-Ordered Spectroscopy: A Powerful Tool for Mixture Analysis

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