Application of Shape Memory and Self-Healable Polymers/Composites in the Biomedical Field: A Review

Overview

Journal ACS Omega

Publisher American Chemical Society

Specialty Chemistry

Date 2023 Sep 18

PMID 37720748

Authors

Tejaswini Tadge

Sonali Garje

Varun Saxena

Ashok M Raichur

Affiliations

Soon will be listed here.

Abstract

Shape memory-assisted self-healing polymers have drawn attention over the past few years owing to their interdisciplinary and wide range of applications. Self-healing and shape memory are two approaches used to improve the applicability of polymers in the biomedical field. Combining both these approaches in a polymer composite opens new possibilities for its use in biomedical applications, such as the "close then heal" concept, which uses the shape memory capabilities of polymers to bring injured sections together to promote autonomous healing. This review focuses on using shape memory-assisted self-healing approaches along with their respective affecting factors for biomedical applications such as tissue engineering, drug delivery, biomaterial-inks, and 4D printed scaffolds, soft actuators, wearable electronics, etc. In addition, quantification of self-healing and shape memory efficiency is also discussed. The challenges and prospects of these polymers for biomedical applications have been summarized.

Citing Articles

Recent advances in shape memory scaffolds and regenerative outcomes.

Valioglu F, Valipour F, Atazadeh S, Hasansadeh M, Khosrowshahi N, Nezamdoust F Biomed Eng Lett. 2024; 14(6):1279-1301.

PMID: 39465110 PMC: 11502725. DOI: 10.1007/s13534-024-00417-9.

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