The results showed that NIR combined with PLSR could not be used to quantify adulteration with HFCS, but could be used to quantify adulteration with MS: coefficient (R p 2) and root mean square of prediction (RMSEP) were 0.901 and 4.041 for MS-adulterated samples from different floral origins, and 0.981 and 1.786 for MS-adulterated samples from the same floral origin (Brassica spp.), respectively.Ĭompetitive adaptive reweighted sampling (CARS) Honey adulteration Near-infrared spectroscopy Partial least squares linear discriminant analysis (PLS-LDA) Partial least squares regression (PLSR).Ĭopyright © 2016. PLS regression (PLSR) was used to predict the extent of adulteration in the honeys.

A TripleSweet variety, Honey Select ears are 75 sugary enhanced (se) and 25 supersweet (sh2) kernels. The only reason to grow your own sweet corn is flavor and Honey Select has flavor and ease of growing. adulterated honey with MS), respectively. Honey Select has proven its delicious sweet honey flavor and tender eating quality in trials across North America. 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).

Honey select corn