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.

中文翻译：

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基质辅助剂量

通过 NMR 光谱分析混合物具有挑战性。扩散有序 NMR 光谱能够根据其平移扩散系数的差异对物种进行伪分离。在适当的情况下，这是一种强大的技术；然而，当分子以相似的速率扩散时，扩散维度上的分离可能很差。此外，光谱重叠也限制了分辨率并使解释具有挑战性。基质辅助扩散 NMR 旨在通过利用混合物中组分与溶剂添加剂的不同相互作用来提高扩散维度的分辨率。调整这些基质-分析物相互作用可以优化扩散分辨率。这篇综述介绍了基质辅助扩散实验的背景，调查了广泛使用的基质，