Atomic-Thin p-Type Semiconductors Based Wearables for Personalized Digital Health

Wearable sweat sensors have emerged as a promising alternative to traditional invasive, time-consuming lab analyses, offering a non-invasive approach for real-time, longitudinal monitoring of physiological biomarkers in the human body. The ability to analyze and forecast real-time changes in various biomarkers would not only enhance personalized diagnose but also treatment for different physiological and psychiatric conditions. Here, we design and develop wearable biosensors based on p-type semiconductors, particularly atomically thin tellurene, that are capable of detecting a broad spectrum of biomarkers in the sweat. The unique p-type property of tellurene and integration into a wearable platform allow for sensitive and selective longitudinal monitoring of various biomarkers in human sweat. By providing continuous, multi-analyte monitoring, our material technology provide a data stream for the simulation and prediction of complex physiological and pathological states in a personalized manner. This bridge between real-time physiological data and digital twin development can open new avenues in personalized medicine and preventive healthcare.