![]() ![]() ![]() PLS regression (PLSR) was used to predict the extent of adulteration in the honeys. ![]() adulterated honey with MS), respectively. adulterated honey with HFCS) and 96.1% (honey vs. The CARS-PLS-LDA models showed an accuracy of 86.3% (honey vs. Partial least squares linear discriminant analysis (PLS-LDA) was adopted to classify the adulterated honey samples. Competitive adaptive reweighted sampling (CARS) was employed to select key variables. Near-infrared spectroscopy (NIR) was used for qualitative and quantitative detection of honey adulterated with high-fructose corn syrup (HFCS) or maltose syrup (MS).
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