Gold nanoclusters and mesoporous silica-encapsulated carbon dot fluorescent nanosensors combine with LightGBM algorithm for ultra-fast detection of Co2+

The LightGBM algorithm is utilized to establish a Co2+ prediction model. The entire detection process is within 10 s and the model prediction value is as high as 0.991 on average. In essence, the proposed fluorescent nanosensor enhanced by LightGBM algorithm has been successfully applied for ultra-fast and sensitive detection of Co2+.