Fruit Juice Discrimination Method for Using Fluorescent Polymer Array and Pattern Recognition

Abstract

As the demand for fruit juices increases, there is a growing need for analytical techniques that contribute to ensuring quality and safety, as well as identifying and preventing counterfeiting. In this study, we developed a sensing system capable of precisely identifying fruit juices by combining a dansyl-modified poly-L-lysine (PLL-Dnc) with a pattern recognition algorithm. By mixing PLL-Dnc solutions dissolved in six different buffer solutions with varying pH and ionic strengths with eight different fruit juices, unique fluorescence patterns specific to each fruit juice were generated. Analyzing these fluorescence patterns with a pattern recognition algorithm successfully allowed for the high-precision identification of the fruit juices. This sensing system, which does not require expensive equipment or specialized techniques, has the potential to offer new opportunities for product development and quality assessment in the beverage industry.