title: [Discrimination of Rice Syrup Adulterant of Acacia Honey Based Using Near-Infrared Spectroscopy].
abstract: At present, the rice syrup as a low price of the sweeteners was often adulterated into acacia honey and the adulterated honeys were sold in honey markets, while there is no suitable and fast method to identify honey adulterated with rice syrup. In this study, Near infrared spectroscopy (NIR) combined with chemometric methods were used to discriminate authenticity of honey. 20 unprocessed acacia honey samples from the different honey producing areas, mixed? with different proportion of rice syrup, were prepared of seven different concentration gradient? including 121 samples. The near infrared spectrum (NIR) instrument and spectrum processing software have been applied in the? spectrum? scanning and data conversion on adulterant samples, respectively. Then it was analyzed by Principal component analysis (PCA) and canonical discriminant analysis methods in order to discriminating adulterated honey. The results showed that after principal components analysis, the first two principal components accounted for 97.23% of total variation, but the regionalism of the score plot of the first two PCs was not obvious, so the canonical discriminant analysis was used to make the further discrimination, all samples had been discriminated correctly, the first two discriminant functions accounted for 91.6% among the six canonical discriminant functions, Then the different concentration of adulterant samples can be discriminated correctly, it illustrate that canonical discriminant analysis method combined with NIR spectroscopy is not only feasible but also practical for rapid and effective discriminate of the rice syrup adulterant of acacia honey.
authors.forename: Yan-nan
authors.initials: YN
authors.lastname: Zhang
authors.forename: Lan-zhen
authors.initials: LZ
authors.lastname: Chen
authors.forename: Xiao-feng
authors.initials: XF
authors.lastname: Xue
authors.forename: Li-ming
authors.initials: LM
authors.lastname: Wu
authors.forename: Yi
authors.initials: Y
authors.lastname: Li
authors.forename: Juan
authors.initials: J
authors.lastname: Yang
mesh_terms: D005506:Food Contamination / Q000032:analysis*; D006722:Honey / Q000032:analysis*; D064427:Nutritive Sweeteners / Q000032:analysis*; D012275:Oryza; D019265:Spectroscopy, Near-Infrared
chemical_list: D064427:Nutritive Sweeteners