An Enzyme-Free Photoelectrochemical Sensor Platform for Ascorbic Acid Detection in Human Urine

A novel enzyme-free photoelectrochemical (PEC) potential measurement system based on Dy-OSCN was designed for ascorbic acid (AA) detection. The separation and transmission of internal carriers were accelerated the chemical properties became more stable under light excitation due to regular microstructure prepared monocrystal. More importantly, PEC method (OCPT, open circuit potential-time) used in this work conducive reduction photoelectric corrosion less interference introduced during detection process, which effectively ensured repeatability stability electrode. Under optimal conditions, monocrystal successfully served as a matrix AA, sensor exhibited wide linear range from 7.94 × 10?6 mol/L 1.113 10?2 sensitive limit 3.35 ?M. Practical human urine sample analysis further revealed accuracy feasibility Dy-OSCN-based platform. It is expected that such would provide new way rapid non-invasive AA level assessment body constitution monitoring lays foundation development practical products.