Non-destructive detection of dicyandiamide in infant formula powder using multi-spectral imaging coupled with chemometrics
文献类型： 外文期刊
作者： Liu, Changhong 1 ; Liu, Wei 2 ; Yang, Jianbo 3 ; Chen, Ying 4 ; Zheng, Lei 1 ;
作者机构： 1.Hefei Univ Technol, Coll Food Sci & Engn, Hefei 230009, Peoples R China
2.Hefei Univ, Intelligent Control & Compute Vis Lab, Hefei 230601, Peoples R China
3.Anhui Acad Agr Sci, Rice Res Inst, Hefei 230031, Peoples R China
4.Chinese Acad Inspect & Quarantine, Agroprod Safety Res Ctr, Beijing 100123, Peoples R China
关键词： dicyandiamide;infant formula;multi-spectral imaging;non-destructive detection;chemometrics
期刊名称：JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE （ 影响因子：3.638； 五年影响因子：3.802 ）
ISSN：
年卷期：
页码：
收录情况： SCI
摘要： BACKGROUNDDicyandiamide (DCD) contamination of milk and milk products has become an urgent and broadly recognised topic as a result of several food safety scares. This study investigated the potential of using multi-spectral imaging (405-970nm) coupled with chemometrics for detection of DCD in infant formula powder. Partial least squares (PLS), least squares-support vector machines (LS-SVM), and back-propagation neural network (BPNN) were applied to develop quantitative models.
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