The Research groups of Dr. Sweta Lal, Department of Chemical Engineering and Dr. Pydi Ganga Bahubalindruni, Department of Electrical Engineering and Computer Sciences, have developed “a flexible electrochemical sensing system enabled by readout electronics to perform the non-enzymatic and non-invasive sensing of urinary uric acid (UA). The platform has been developed by integrating a CuO-GO@SS-based flexible sensor with an Arduino nano module, power supply and LCD screen to develop the complete sensing system which displays the urinary UA levels (in mM) within a few minutes to the end-user. The flexible sensor demonstrated a high sensitivity of 442.21 µA mM-1 cm-2 with a low detection limit of 0.54 µM. The complete sensing platform revealed a high accuracy with an error of 0.2 - 4 %, in buffer samples, with a % recovery between 87 - 107 %, for UA spiked urine (clinical) samples. This platform provides non-invasive and rapid quantification of urinary UA under clinical settings, besides being a potential alternative to the invasive blood tests.” For more details, kindly visit https://doi.org/10.1016/j.electacta.2025.147114.