The concentration of biomarkers in sweat can be used to evaluate human health, making efficient sweat sensing a focus of research. While flow channel design is often used to detect sweat velocity, it is rarely incorporated into the sensing of biomarkers, limiting the richness of sensing results. In this study, we report a time sequential sensing scheme for uric acid in sweat through a sequential design of Tesla valve channels. Graphene electrodes for detecting uric acid and directional Tesla valve flow channels were fabricated using laser engraving technology to realize time sequential sensing. The performance of the channels was verified through simulation. The time sequential detection of uric acid concentration in sweat can help researchers improve the establishment of human health management systems through flexible wearable devices.