Simultaneous detection of multiple frauds in kiwifruit juice by fusion of traditional and double-quantum-dots enhanced fluorescent spectroscopic techniques and chemometrics

•Untargeted analysis of frauds in kiwifruit juice was developed.•Traditional and double-quantum-dots enhanced fluorescent sensor was established.•One-class partial least squares was used to develop class models of pure juice.•The best model sensitivity was 0.929.•It could detect 2.0% or more of sucrose syrup and artificial fruit powder. The feasibility of simultaneous detection of multiple cheap materials in kiwifruit juice (KFJ) was studied by two fluorescent methods and chemometrics. Because the actual frauds usually involve many known and unknown adulterants, the traditional methods to detect one or more known components are insufficient to identify adulterated KFJ. Therefore, class models of pure KFJ were established using one-class partial least squares (OCPLS) to perform untargeted analysis. To enhance the detection specificity, traditional and double-quantum-dots enhanced fluorescent spectroscopic techniques were combined to characterize pure and adulterated KFJ. By data fusion and using standard normal variables (SNV) transformation, OCPLS model with sensitivity of 0.929 was obtained. The proposed method could detect adulterations of 2% (w/w) or more syrup and artificial fruit powder. The fusion of traditional and quantum dots enhanced fluorescence was demonstrated to provide a rapid and highly sensitive method for untargeted analysis of adulterated KFJ.