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Qualitative and quantitative detection of honey adulterated with high-fructose corn syrup and maltose syrup by using near-infrared spectroscopy

文献类型： 外文期刊

作者： Li, Shuifang 1 ; Zhang, Xin 2 ; Shan, Yang 3 ; Su, Donglin 3 ; Ma, Qiang 1 ; Wen, Ruizhi 1 ; Li, Jiaojuan 1 ;

作者机构： 1.Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Hunan, Peoples R China

2.Cent S Univ, Longping Branch, Grad Sch, Changsha 410125, Hunan, Peoples R China

3.Hunan Acad Agr Sci, Hunan Agr Prod Proc Inst, Changsha 410125, Hunan, Peoples R China

关键词： Honey adulteration;Near-infrared spectroscopy;Competitive adaptive reweighted sampling (CARS);Partial least squares linear discriminant analysis (PLS-LDA);Partial least squares regression (PLSR)

期刊名称：FOOD CHEMISTRY （ 影响因子：7.514； 五年影响因子：7.516 ）

ISSN： 0308-8146

年卷期： 2017 年 218 卷

页码：

收录情况： SCI

摘要： Near-infrared spectroscopy (NIR) was used for qualitative and quantitative detection of honey adulterated with high-fructose corn syrup (HFCS) or maltose syrup (MS). Competitive adaptive reweighted sampling (CARS) was employed to select key variables. Partial least squares linear discriminant analysis (PLS-LDA) was adopted to classify the adulterated honey samples. The CARS-PLS-LDA models showed an accuracy of 86.3% (honey vs. adulterated honey with HFCS) and 96.1% (honey vs. adulterated honey with MS), respectively. PLS regression (PLSR) was used to predict the extent of adulteration in the honeys. 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 (RP) 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. (C) 2016 Published by Elsevier Ltd.

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