The DOI matches its Crossref record; 308 of the 308 references it cites were found in a registry or an index.
Multifaceted Design and Emerging Applications of Tissue Adhesives
Abstract
Tissue adhesives can form appreciable adhesion with tissues and have found clinical use in a variety of medical settings such as wound closure, surgical sealants, regenerative medicine, and device attachment. The advantages of tissue adhesives include ease of implementation, rapid application, mitigation of tissue damage, and compatibility with minimally invasive procedures. The field of tissue adhesives is rapidly evolving, leading to tissue adhesives with superior mechanical properties and advanced functionality. Such adhesives enable new applications ranging from mobile health to cancer treatment. To provide guidelines for the rational design of tissue adhesives, here, existing strategies for tissue adhesives are synthesized into a multifaceted design, which comprises three design elements: the tissue, the adhesive surface, and the adhesive matrix. The mechanical, chemical, and biological considerations associated with each design element are reviewed. Throughout the report, the limitations of existing tissue adhesives and immediate opportunities for improvement are discussed. The recent progress of tissue adhesives in topical and implantable applications is highlighted, and then future directions toward next‐generation tissue adhesives are outlined. The development of tissue adhesives will fuse disciplines and make broad impacts in engineering and medicine.
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Cites
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Cited by
Bioinspired Underwater Adhesives
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Dopamine-based high-transparent hydrogel as bioadhesive for sutureless ocular tissue repair
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An injectable, robust double network adhesive hydrogel for efficient, real-time hemostatic sealing
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Metadata
- Authors
- Ma, Z., Bao, G., & Li, J.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2021-05-06
- Volume
- 33
- Issue
- 24
- Pages
- e2007663-e2007663
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3159855635
- Cited by
- 269
- References
- 308
- FWCI
- 37.07
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
