Self-healing organic semiconductors for bionic skin

Material degradation is a primary concern to every material scientist and engineer, not only does degradation lead to failure, but results in the need for repair - a very costly endeavour. In this perspective, it is of interest to develop self-healing materials that will make maintenance redundant. As opposed to inorganic semiconductors, organic semiconducting materials are soft, which makes them ideal to be used in flexible and stretchable electronic devices, which can be directly applied to the human skin. Wearable electronics, however, are particularly prone to mechanical damage and fatigue, which is why it is paramount to develop more robust materials, like self-healable semiconductors. This fellowship will, for the first time, make it possible to synthesise intrinsic self-healing organic semiconductors and incorporate them into fully flexible, stretchable and wearable electronic devices, respectively bionic skin, to measure biological metabolites associated with diabetes (glucose), fatigue (lactate) and stress (cortisol). The electric charges will be transported via the conjugated polymer backbone, while additional supramolecular functionalities (i.e. non-binding interactions) will be incorporated into the chemical structure to ensure self-healing via the formation of dynamic bonds. The study of the new self-healing polymers will then be extended to other dynamically bonding functional groups to evaluate which chemistry is best suited for organic semiconductors. Subsequent steps will focus on the self-healing dynamics and rates, and the incorporation of the new materials into flexible electronic prototype devices. The realisation of healable organic semiconductors, for the first time, will allow the fabrication of lightweight, -wearable sensors directly applied to the human skin. This will make it possible to continuously monitor medically relevant body functions and present a significant step forward in the development of affordable biological sensors and continuous patient monitoring, ultimately enhancing medical diagnostics and opening-up new treatment possibilities.