“Diabetes is a major problem worldwide,” said Chuchu Chen, the study’s first author, highlighting the transformative potential of 3D printing in healthcare. The newly developed one-step 3D printing process utilizes a single-atom catalyst and enzymatic reactions to enhance signal detection of low-level biomarkers.
Unlike blood, sweat provides a non-invasive method for health monitoring. Uric acid levels in sweat can indicate risks for gout, kidney disease, and heart disease, while glucose and lactate levels help monitor diabetes and exercise intensity.
Continue reading… “Innovative 3D-Printed Sweat Sensor Promises Non-Invasive Health Monitoring”