Highly efficient metal-free catalyst from cellulose for hydrogen peroxide photoproduction instructed by machine learning and transient photovoltage technology

Great attention has been paid to green procedures and technologies for the design of environmental catalytic systems. Biomass-derived catalysts represent one greener alternatives catalysis. Photocatalytic production hydrogen peroxide (H2O2) from O2 H2O is an ideal way attracted widespread attention. Here, we show a metal-free photocatalyst cellulose, which high photocatalytic activity photoproduction H2O2 with reaction rate up 2,093 µmol/(h·g) apparent quantum efficiency 2.33%. Importantly, machine learning model was constructed guide synthesis this photocatalyst. With help transient photovoltage (TPV) tests, optimized their fabrication activity, clearly showed that formation carbon dots (CDs) facilitates generation, separation, transfer photo-induced charges on catalyst surface. This work provides highly efficient study biomass materials TPV technology.