摘要
The accurate, simultaneous, and in situ monitoring of multiple sweat biomarkers holds great promise for both athletic performance optimization and disease management. Sweat biomarker monitoring using a wearable colorimetric sweat sensor provides a wireless, electronic-free, and battery-free strategy with easy integration with smart mobile devices such as smartphones. However, existing wearable colorimetric sweat sensors still suffer significantly from ambient light interference, sweat pH variation-induced detection errors, and the physiological variability of sweat rate. In this study, we introduce a smart wearable microfluidic colorimetric sensing system (SWSS) that overcomes these challenges by integrating a flexible epidermal patch with an AI-assisted cloud analytical pipeline. The disposable microfluidic patch enables passive sweat collection and features multiplexed colorimetric assays for chloride, pH, urea, and lactate, alongside a microfluidic channel for sweat rate tracking. Images acquired using a smartphone are uploaded and processed through a backend cloud system featuring an AI-powered data processing system. This system automatically corrects the errors caused by varying lighting conditions and varying sweat pH, thus improving detection accuracy significantly. In addition, this sensor system measures and calculates sweat rate from the dye front's displacement in the sweat rate channel, enabling a sweat rate normalization framework which enhances physiological interpretability. Experimental results demonstrate excellent agreement between predicted and true concentrations across all analytes (R 2 ≥ 0.994). The system further supports on-body testing and real-time analysis through seamless smartphone integration. These findings highlight SWSS platform as a promising next-generation platform for accurate and individualized sweat biomarker sensing for human physiological status monitoring.
危险品化学品经营许可证（带存储）