Non-destructive detection of dicyandiamide in infant formula powder using multi-spectral imaging coupled with chemometrics
文献类型: 外文期刊
第一作者: Liu, Changhong
作者: Liu, Changhong;Zheng, Lei;Liu, Wei;Yang, Jianbo;Chen, Ying
作者机构:
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.
分类号: S
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