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NMR Analyses and Statistical Modeling of Biobased Polymer Microstructures-A Selected Review.
Cheng, Huai N; Asakura, Tetsuo; Suganuma, Koto; Lagaron, Jose M; Melendez-Rodriguez, Beatriz; Biswas, Atanu.
Affiliation
  • Cheng HN; USDA Agricultural Research Service, Southern Regional Research Center, New Orleans, LA 70124, USA.
  • Asakura T; Department of Biotechnology, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588, Japan.
  • Suganuma K; Material Analysis Research Center, Teijin Ltd., Hino, Tokyo 191-8512, Japan.
  • Lagaron JM; Novel Materials and Nanotechnology Group, IATA, CSIC, Av. Agustín Escardino 7, 46980 Paterna, Valencia, Spain.
  • Melendez-Rodriguez B; Novel Materials and Nanotechnology Group, IATA, CSIC, Av. Agustín Escardino 7, 46980 Paterna, Valencia, Spain.
  • Biswas A; USDA Agricultural Research Service, National Center for Agricultural Utilization Research, Peoria, IL 61604, USA.
Polymers (Basel) ; 16(5)2024 Feb 24.
Article in En | MEDLINE | ID: mdl-38475303
ABSTRACT
NMR analysis combined with statistical modeling offers a useful approach to investigate the microstructures of polymers. This article provides a selective review of the developments in both the NMR analysis of biobased polymers and the statistical models that can be used to characterize these materials. The information obtained from NMR and statistical models can provide insights into the microstructure and stereochemistry of appropriate biobased polymers and establish a systematic approach to their analysis. In suitable cases, the analysis can help optimize the synthetic procedures and facilitate the development of new or modified polymeric materials for various applications. Examples are given of the studies of poly(hydroxyalkanoates), poly(lactic acid), and selected polysaccharides, e.g., alginate, pectin, and chitosan. This article may serve as both a reference and a guide for future workers interested in the NMR sequence analysis of biobased materials.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Polymers (Basel) Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Polymers (Basel) Year: 2024 Document type: Article Affiliation country:
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