Many copolysaccharides are compositionally heterogeneous, and the composition determined by the usual analytical or spectroscopic methods provides only an average value. For some polysaccharides, the NMR data contain copolymer sequence information, such as diad, triad, and tetrad sequence intensities. In such cases, it is possible to estimate the extent of compositional heterogeneity through NMR. Two general types of methodologies can be used: perturbed Markovian and discrete component approaches. The theoretical bases for these approaches are reviewed in this work, and three examples are shown of the application of these NMR methodologies to copolysaccharides.
CITATION STYLE
Cheng, H. N. (2017). NMR analysis of compositional heterogeneity in polysaccharides. In Pure and Applied Chemistry (Vol. 89, pp. 877–883). Walter de Gruyter GmbH. https://doi.org/10.1515/pac-2016-1020
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