Published March 15, 2024 | Version Published
Journal Article Open

Reductive amination of oxidized hydroxypropyl cellulose with ω-aminoalkanoic acids as an efficient route to zwitterionic derivatives

Abstract

Zwitterionic polymers, with their equal amounts of cationic and anionic functional groups, have found widespread utility including as non-fouling coatings, hydrogel materials, stabilizers, antifreeze materials, and drug carriers. Polysaccharide-derived zwitterionic polymers are attractive because of their sustainable origin, potential for lower toxicity, and possible biodegradability, but previous methods for synthesis of zwitterionic polysaccharide derivatives have been limited in terms of flexibility and attainable degree of substitution (DS) of charged entities. We report herein successful design and synthesis of zwitterionic polysaccharide derivatives, in this case based on cellulose, by reductive amination of oxidized 2-hydroxypropyl cellulose (Ox-HPC) with ω-aminoalkanoic acids. Reductive amination products could be readily obtained with DS(cation) (= DS(anion)) up to 1.6. Adduct hydrophilic/hydrophobic balance (amphiphilicity) can be influenced by selecting the appropriate chain length of the ω-aminoalkanoic acid. This strategy is shown to produce a range of amphiphilic, water-soluble, moderately high glass transition temperature (Tg) polysaccharide derivatives in just a couple of efficient steps from commercially available building blocks. The adducts were evaluated as crystallization inhibitors. They are strong inhibitors of crystallization even for the challenging, poorly soluble, fast-crystallizing prostate cancer drug enzalutamide, as supported by surface tension and Flory–Huggins interaction parameter results.

Copyright and License

© 2023 Elsevier.

Acknowledgement

We thank the Virginia Tech Institute for Critical Technology and Applied Science, the Department of Sustainable Biomaterials, and the College of Natural Resources and Environment for partial support of this work. We are grateful for the David W. Francis & Lillian Francis Research Fellowship (YZ) which provided partial support of this work. We are grateful to the U.S. Department of Agriculture (NIFA) for partial support of this work through grant 2020-67021-31379 (ZZ). We thank the U.S. National Science Foundation for partial support of this work through grants DMR-2204996 and DMR-2204995 (MM, QQ). We thank Dr. Murthy Shanaiah for guidance about NMR experiments.

Contributions

Yang Zhou: Conceptualization, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing. Yimin Yao: Formal analysis, Investigation, Validation, Writing – review & editing. Zhenghao Zhai: Investigation, Validation, Writing – review & editing. Mennatallah A. Mohamed: Formal analysis, Investigation, Visualization, Writing – original draft. Fiorella Mazzini: Formal analysis, Investigation. Qingqing Qi: Formal analysis, Investigation. Michael J. Bortner: Formal analysis, Methodology, Resources, Writing – review & editing. Lynne S. Taylor: Formal analysis, Methodology, Resources, Writing – review & editing. Kevin J. Edgar: Conceptualization, Formal analysis, Methodology, Resources, Supervision, Writing – review & editing.

Data Availability

Data will be made available on request.

Conflict of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Funding

Virginia Tech
United States Department of Agriculture
2020-67021-31379
National Science Foundation
DMR-2204996
National Science Foundation
DMR-2204995