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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Versatile Small-Molecule Motifs for Self-Assembly in Water and the Formation of Biofunctional Supramolecular Hydrogels

Open access
Zhang, Ye, Kuang, Yi, Gao, Yuan, Xu, Bing·2011·Langmuir

Abstract

This feature article introduces new structural motifs (referred as "samogen") that serve as the building blocks of hydrogelators for molecular self-assembly in water to result in a series of supramolecular hydrogels. Using a compound that consists of two phenylalanine residues and a naphthyl group (also abbreviated as NapFF (1) in this text) as an example of the samogens, we demonstrated the ability of the samogens to convert bioactive molecules into molecular hydrogelators that self-assemble in water to result in nanofibers. By briefly summarizing the properties and applications (e.g., wound healing, drug delivery, controlling cell fate, typing bacteria, and catalysis) of these molecular hydrogelators derived from the samogens, we intend to illustrate the basic requirements and promises of the small-molecule hydrogelators for applications in chemistry, materials science, and biomedicine.

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Crossref · 10.1021/la1020324

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Metadata

Authors
Zhang, Y., Kuang, Y., Gao, Y., & Xu, B.
Venue
Langmuir
Published
2010-07-07
Volume
27
Issue
2
Pages
529-537
ISSN
  • 0743-7463 (ISSN-L)
  • 1520-5827
OpenAlex
W1968652809
Cited by
223
References
3
FWCI
7.57
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Versatile Small-Molecule Motifs for Self-Assembly in Water and the Formation of Biofunctional Supramolecular Hydrogels. https://app.cochat.ai/papers/10.1021/la1020324
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Zhang, Y., Kuang, Y., Gao, Y., & Xu, B. (2011). Versatile Small-Molecule Motifs for Self-Assembly in Water and the Formation of Biofunctional Supramolecular Hydrogels. Langmuir. https://doi.org/10.1021/la1020324

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.