Self‐Calibrating Wearable Sweat Sensor for Precise Hyperuricemia Monitoring via Hollow‐Architecture Bimetallic Oxides

Abstract Wearable sweat sensors have emerged as a promising candidate for personalized health assessment due to their robust capabilities in non‐invasive and dynamic monitoring of bioindicators. However, the ultralow concentration of metabolites and pH‐induced signal fluctuations in sweat seriously affect the reliability of dynamic monitoring. To address these challenges, this study reports a non‐invasive and sensitive wearable sensor that incorporates real‐time pH calibration to accurately assess hyperuricemia via monitoring sweat uric acid (UA). To precisely capture the response of trace sweat UA, the surface roughness of hollow Mn 2 O 3 /Fe 2 O 3 is dramatically enhanced to improve interface contact and boost the charge transfer kinetics. Meanwhile, to eliminate the fluctuating pH influence, an integrated pH sensor continuously tracks sweat pH to calibrate the UA response, establishing the pH‐dependent sensitivity calibration model. A rapid collection microchannel is also designed to efficiently transport fresh sweat while minimizing evaporation and contamination, further elevating the detection accuracy. During the 12‐hour purine‐controlled diet, the wearable sensor dynamically and accurately tracks the sweat UA, demonstrating a significant correlation with serum UA. This result confirms the feasibility of the wearable sensor for gout monitoring. This work establishes a non‐invasive platform for the precise assessment of hyperuricemia, facilitating at‐home early warning for gout.