Wearable electronic medical devices measuring continuous biological signals for early disease diagnosis should be small and lightweight for consecutive usability. As a result, there has been an increasing need for new energy supply systems that provide continuous power without any interruption to the operation of the medical devices associated with the use of conventional batteries. In this work, we developed a patch-type self-charging supercapacitor that can measure biological signals with a continuous energy supply without batteries. The glucose oxidase coated on the surface of the microneedle-type glucose sensor encounters glucose in the interstitial fluids of the human body. Electrons created by glucose oxidation operate the self-powered system in which charging begins with the generation of potential differences in supercapacitor electrodes. In an 11 mM glucose solution, the self-powered solid-state supercapacitors (SPSCs) showed a power density of 0.62 mW/cm2, which resulted in self-charging of the supercapacitor. The power density produced by each SPSC with a drop of 11 mM glucose solution was higher than that produced by glucose-based biofuel cells. Consequently, the all-in-one self-powered glucose sensor, with the aid of an Arduino Uno board and appropriate programming, effectively distinguished normal, prediabetic, and diabetic levels from 0.5 mL of solutions absorbed in a laboratory skin model.
Bibliographical noteFunding Information:
This work was supported by the Korea Medical Device Development Fund grant funded by the Korean government (the Ministry of Science and ICT, the Ministry of Trade, Industry and Energy (MOTIE), the Ministry of Health and Welfare, and the Ministry of Food and Drug Safety) (Project Number: 1711138212, KMDF_PR_20200901_0116), the Technology Innovation Program (20013621, Center for Super Critical Material Industrial Technology) funded by the MOTIE (Korea), a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2021R1A2C2004297), and the National Research Foundation of Korea(NRF) grant funded by the Korean government (MSIT) (No. NRF-2021R1A4A1032129).
© 2022 American Chemical Society
All Science Journal Classification (ASJC) codes
- Materials Science(all)