Sensitive Quantitative Image Analysis of Bisulfite Based on Near-Infrared Upconversion Luminescence Total Internal Reflection Platform

Abstract Bisulfite (HSO3-), serves as an important additive in food industry, is one of the most widely distributed environmental pollutants. Herein, a fast and efficient quantitative image analysis method for the determination of HSO3- has been developed. The method builds a luminescence energy transfer (LET) system utilized upconversion nanoparticles (UCNPs) as an energy donor and cyanine dye molecules as an energy acceptor. The upconversion luminescence is quenched a lot on the addition of dye molecules and gets recovered well with the addition of HSO3-. All the phenomena can be recorded via traditional luminescence spectrometer and near-infrared upconversion luminescence total internal reflection platform. The quantitative image analysis performed on the near-infrared upconversion luminescence total internal reflection platform can significantly reduce sample consumption (10 μL) as well as make a quick and efficient analysis (0.1 s) with a large amout of data become easy. Meanwhile, it shows a wider linear range (1-120μM), lower detection limit (0.070 μM) and higher detection speed than that of the classical luminescence spectrometer.