NMR Analyses and Statistical Modeling of Biobased Polymer Microstructures—A Selected Review
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 materi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Polymers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4360/16/5/620 |
| _version_ | 1797263948768083968 |
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| author | Huai N. Cheng Tetsuo Asakura Koto Suganuma Jose M. Lagaron Beatriz Melendez-Rodriguez Atanu Biswas |
| author_facet | Huai N. Cheng Tetsuo Asakura Koto Suganuma Jose M. Lagaron Beatriz Melendez-Rodriguez Atanu Biswas |
| author_sort | Huai N. Cheng |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-25T00:21:07Z |
| format | Article |
| id | doaj.art-69751a81d9f74fd8a6187a125af1d44b |
| institution | Directory Open Access Journal |
| issn | 2073-4360 |
| language | English |
| last_indexed | 2024-04-25T00:21:07Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Polymers |
| spelling | doaj.art-69751a81d9f74fd8a6187a125af1d44b2024-03-12T16:53:26ZengMDPI AGPolymers2073-43602024-02-0116562010.3390/polym16050620NMR Analyses and Statistical Modeling of Biobased Polymer Microstructures—A Selected ReviewHuai N. Cheng0Tetsuo Asakura1Koto Suganuma2Jose M. Lagaron3Beatriz Melendez-Rodriguez4Atanu Biswas5USDA Agricultural Research Service, Southern Regional Research Center, New Orleans, LA 70124, USADepartment of Biotechnology, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588, JapanMaterial Analysis Research Center, Teijin Ltd., Hino, Tokyo 191-8512, JapanNovel Materials and Nanotechnology Group, IATA, CSIC, Av. Agustín Escardino 7, 46980 Paterna, Valencia, SpainNovel Materials and Nanotechnology Group, IATA, CSIC, Av. Agustín Escardino 7, 46980 Paterna, Valencia, SpainUSDA Agricultural Research Service, National Center for Agricultural Utilization Research, Peoria, IL 61604, USANMR 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.https://www.mdpi.com/2073-4360/16/5/620alginatebiobased polymerschitosanNMRpectinpoly(lactic acid) |
| spellingShingle | Huai N. Cheng Tetsuo Asakura Koto Suganuma Jose M. Lagaron Beatriz Melendez-Rodriguez Atanu Biswas NMR Analyses and Statistical Modeling of Biobased Polymer Microstructures—A Selected Review Polymers alginate biobased polymers chitosan NMR pectin poly(lactic acid) |
| title | NMR Analyses and Statistical Modeling of Biobased Polymer Microstructures—A Selected Review |
| title_full | NMR Analyses and Statistical Modeling of Biobased Polymer Microstructures—A Selected Review |
| title_fullStr | NMR Analyses and Statistical Modeling of Biobased Polymer Microstructures—A Selected Review |
| title_full_unstemmed | NMR Analyses and Statistical Modeling of Biobased Polymer Microstructures—A Selected Review |
| title_short | NMR Analyses and Statistical Modeling of Biobased Polymer Microstructures—A Selected Review |
| title_sort | nmr analyses and statistical modeling of biobased polymer microstructures a selected review |
| topic | alginate biobased polymers chitosan NMR pectin poly(lactic acid) |
| url | https://www.mdpi.com/2073-4360/16/5/620 |
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