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Updated: Jun 19, 2026

Bridging the Bio-Electronic Interface with Biofabrication
Published on: June 6, 2012
Smart biosensors with self-healing materials
Mohammad Ali Farzin1, Seyed Morteza Naghib1, Navid Rabiee2,3,4,5
1Nanotechnology Department, School of Advanced Technologies, Iran University of Science and Technology (IUST), Tehran, Iran. naghib@iust.ac.ir.
Abstract:
Real-time, in situ, and continuous biosensors face considerable challenges related to durability, as prolonged operation often leads to mechanical or functional degradation. In this context, materials with self-healing properties offer a transformative advantage. By enabling automatic recovery from physical damage, these materials significantly extend sensor lifespan, reduce maintenance costs, and minimize environmental waste. The emergence of self-healing systems has already driven major advancements in fields such as electronic skins (E-skins), smart textiles, and soft robotics, with even greater potential in the realms of implantable and underwater biosensors. Furthermore, self-healing materials are poised to accelerate the development of resilient wireless sensor networks, facilitating their integration into the Internet of Things (IoT) and human-machine interfaces. In response to these promising opportunities, significant research efforts have been directed toward embedding self-repairing capabilities into biosensor platforms. This review presents the latest innovations in self-healing biosensors, covering a range of designs including E-skins, eutectogel-based devices, textile-integrated sensors, implantable systems, electrochemical and fire sensors, as well as underwater applications. To provide a comprehensive understanding, the discussion begins with fundamental design strategies for engineering self-healing materials and progresses to their implementation in biosensing technologies. The review concludes by outlining future research directions and emerging applications that underscore the pivotal role of self-healing materials in shaping the next generation of robust, intelligent biosensors.
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