Research Interests: Nanomaterials, Wearable Devices, Flexible Electronics, Nanomachines, Nanorobotics, Biosensors, Nanomedicine, Electrochemistry.Job Interests: Academic
Wei Gao received his PhD in Chemical Engineering at University of California, San Diego in 2014 as a Jacobs Fellow and HHMI International Student Research Fellow. He is currently a postdoctoral fellow on wearable devices with professor Ali Javey at the University of California, Berkeley. He has authored over 50 journal publications and received several awards such as 2016 MIT Technology Review Top 35 Innovator Under 35 (TR35), 2015 ACS DIC Young Investigator Award, MRS Graduate Student Award, 2013 AICHE Bionanotechnology Graduate Student Award, 2012 Chinese Government Award for Outstanding Self-financed Students Abroad. His research interests include flexible electronics, biosensors, naonomachines and nanomedicine.
Fully-Integrated Wearable Sensor Arrays for Multiplexed In Situ Perspiration Analysis [BPN818]
Wearable sensor technologies play a significant role in realizing personalized medicine by continuously monitoring an individualís health state. In particular, human sweat is an excellent candidate for these technologies as it contains physiologically rich information and serves as a target for non-invasive monitoring. Given the complexity of sweat secretion, simultaneous and multiplexed screening of target biomarkers is critical, and full system integration to ensure the accuracy of measurements is necessary. A mechanically flexible and fully-integrated perspiration analysis system is developed to simultaneously and selectively measure sweat metabolites (e.g. glucose and lactate) and electrolytes (e.g. sodium, potassium, calcium and pH), as well as skin temperature to calibrate the sensors' response. On-body heavy metal analysis in perspiration is also presented. This work bridges the technological gap between signal transduction, conditioning, processing and wireless transmission in wearable biosensors by merging plastic-based sensors that interface with the skin, and silicon integrated circuits consolidated on a flexible circuit board for complex signal processing. This wearable system can be used to measure detailed sweat profiles of human subjects engaged in prolonged indoor and outdoor physical activities, and assess their physiological states in real-time. The platform enables wearable technologies to perform a wide range of personalized diagnostic and physiological monitoring applications.