AI Article Synopsis
- Analyzing mixtures with NMR spectroscopy is tough due to overlapping signals and similar diffusion rates of molecules, making separation difficult.
- Diffusion-ordered NMR offers a way to separate these species based on their diffusion properties, but can struggle with resolution in complex mixtures.
- Matrix-assisted diffusion NMR improves this resolution by using additives that interact differently with components in the mixture, and this review explores the techniques and various matrices used in these experiments.
Article Abstract
The analysis of mixtures by NMR spectroscopy is challenging. Diffusion-ordered NMR spectroscopy enables a pseudo-separation of species based on differences in their translational diffusion coefficients. Under the right circumstances, this is a powerful technique; however, when molecules diffuse at similar rates separation in the diffusion dimension can be poor. In addition, spectral overlap also limits resolution and can make interpretation challenging. Matrix-assisted diffusion NMR seeks to improve resolution in the diffusion dimension by utilising the differential interaction of components in the mixture with an additive to the solvent. Tuning these matrix-analyte interactions allows the diffusion resolution to be optimised. This review presents the background to matrix-assisted diffusion experiments, surveys the wide range of matrices employed, including chromatographic stationary phases, surfactants and polymers, and demonstrates the current state of the art.
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| http://dx.doi.org/10.1016/j.pnmrs.2019.09.001 | DOI Listing |
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