Implantable bioelectronics for analyzing physiological biomarkers has recently been recognized as a promising technique in medical treatment or diagnostics. In this study, we developed a self-powered implantable skin-like glucometer for real-time detection of blood glucose level in vivo. Based on the piezo-enzymatic-reaction coupling effect of GOx@ZnO nanowire, the device under an applied deformation can actively output piezoelectric signal containing the glucose-detecting information. No external electricity power source or battery is needed for this device, and the outputting piezoelectric voltage acts as both the biosensing signal and electricity power. A practical application of the skin-like glucometer implanted in mouse body for detecting blood glucose level has been simply demonstrated. These results provide a new technique path for diabetes prophylaxis and treatment. Electronic supplementary materialThe online version of this article (10.1007/s40820-017-0185-x) contains supplementary material, which is available to authorized users.

Research on wearable devices has promoted the development of real-time ultraviolet intensity monitoring technology. This paper proposes a self-powered wearable ultraviolet radiation detector based on T-ZnO nanowires/PVDF composite fabric. The soft fabric base allows the device to attach to various muscles of the human body. Due to the piezoelectric and photoelectric properties, the devices can transform mechanical energy into electrical energy. The output closely relates to the ultraviolet intensity. Therefore, this kind of stable, flexible, and micro device can output piezoelectric voltage as both an energy source and a sensing signal on human bodies. Experiments have proved that the wearable ultraviolet detector has high sensing stability and can work on the skin. The self-powered feature allows it to integrate with wireless transmission equipment, which can upload the ultraviolet intensity data collected by the self-powered wearable ultraviolet radiation detector to the Big Data Cloud. This system will contribute to the formation of the Internet of Things.