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Cited by 391

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Instant tough bioadhesive with triggerable benign detachment

Open access
Chen, Xiaoyu, Yuk, Hyunwoo, Wu, Jingjing, Nabzdyk, Christoph S., Zhao, Xuanhe·2020·Proceedings of the National Academy of Sciences

Abstract

Significance: Owing to potential advantages including ease of use, airtight or watertight sealing, and minimal tissue damage, bioadhesives have been intensively studied and developed as an alternative to sutures and staples to close wounds, achieve hemostasis, and attach and immobilize implantable devices. However, existing bioadhesives have limitations including slow adhesion formation, weak bonding, low biocompatibility, poor mechanical match with tissues, and/or lack of triggerable benign detachment. In this work, we report a bioadhesive capable of instant tough adhesion and triggerable benign detachment that can potentially address all the above-mentioned limitations. The current work not only develops a bioadhesive with superior performances but also advances the understanding of wet adhesion.

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Crossref · 10.1073/pnas.2006389117

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Metadata

Authors
Chen, X., Yuk, H., Wu, J., Nabzdyk, C. S., & Zhao, X.
Venue
Proceedings of the National Academy of Sciences
Published
2020-06-23
Volume
117
Issue
27
Pages
15497-15503
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3036140506
Cited by
391
References
2
FWCI
40.66
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Instant tough bioadhesive with triggerable benign detachment. https://app.cochat.ai/papers/10.1073/pnas.2006389117
The paper
Chen, X., Yuk, H., Wu, J., Nabzdyk, C. S., & Zhao, X. (2020). Instant tough bioadhesive with triggerable benign detachment. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2006389117

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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.