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Cited by 345

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First Thermally Responsive Supramolecular Polymer Based on Glycosylated Amino Acid

Kiyonaka, Shigeki, Sugiyasu, Kazunori, Shinkai, Seiji, Hamachi, Itaru·2002·Journal of the American Chemical Society

Abstract

In materials science, a dynamic property sensitive to an environmental change (heat, light, electric current, pH, and other chemical or physical changes) is indispensable for intelligent materials. Such organic materials, however, are very limited even in conventional polymers. This paper clearly demonstrates that, regardless of the low molecular weight, a glycosylated amino acid derivative newly screened by a combinatorial method forms a macroscopic supramolecular hydrogel that reversibly swells or shrinks in response to the external temperature. Using the unique thermal response of the present hydrogel, we carried out the controlled release of DNA and the perfect removal of bisphenol A from the polluted water. Recently, advanced supramolecular polymers, in which monomers are noncovalently connected, are expected to be highly advantageous over traditional polymers because of their tunable and recyclable characteristics. The present result newly confers a dynamic feature on the supramolecular polymers, which is desirable for the sophisticated application in many fields.

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Metadata

Authors
Kiyonaka, S., Sugiyasu, K., Shinkai, S., & Hamachi, I.
Venue
Journal of the American Chemical Society
Published
2002-08-23
Volume
124
Issue
37
Pages
10954-10955
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2017475306
Cited by
345
References
0
FWCI
6.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: First Thermally Responsive Supramolecular Polymer Based on Glycosylated Amino Acid. https://app.cochat.ai/papers/10.1021/ja027277e
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Kiyonaka, S., Sugiyasu, K., Shinkai, S., & Hamachi, I. (2002). First Thermally Responsive Supramolecular Polymer Based on Glycosylated Amino Acid. Journal of the American Chemical Society. https://doi.org/10.1021/ja027277e

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.