ArticleChemistry (Weinheim an der Bergstrasse, Germany)2014
Directly decoupled diffusion-ordered NMR spectroscopy for the analysis of compound mixtures.
Article in Chemistry (Weinheim an der Bergstrasse, Germany), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- NMR methods for the analysis of mixtures.Chemical communications (Cambridge, England) · 2022Review
- Extracting unresolved coupling constants from complex multiplets by a real-time J-upscaled SERF experiment.Magnetic resonance in chemistry : MRC · 2018Article
- High Resolution NMR Spectroscopy as a Structural and Analytical Tool for Unsaturated Lipids in Solution.Molecules (Basel, Switzerland) · 2017Review
- Assessing 2D electrophoretic mobility spectroscopy (2D MOSY) for analytical applications.Magnetic resonance in chemistry : MRC · 2017Article
- Coordination Chemistry of Cyclic Disilylated Germylenes and Stannylenes with Group 11 Metals.Organometallics · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
For the analysis of compound mixtures by NMR spectroscopy, it is important to assign the different peaks to the individual constituents. Diffusion-ordered spectroscopy (DOSY) is often used for the separation of signals based on their self-diffusion coefficient. However, this method often fails in the case of signal overlap, which is a particular problem for (1)H-detected DOSY spectra. Herein, an approach that allows the acquisition of homonuclear broadband-decoupled DOSY spectra without the introduction of an additional decoupling dimension, by instant decoupling during acquisition, is presented. It was demonstrated on a mixture of six alcohols, and the investigation of the binding of a dodecapeptide to membrane mimetics.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.