Study on Quality Detection of Milk Powder Based on Near Infrared Spectroscopy (NIR)
WU Jing-zhu1,3, WANG Yi-ming1*, ZHANG Xiao-chao2, XU Yun1
1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China 2. China Academy of Agricultural Mechanization Sciences, Beijing 100083, China 3. School of Information Engineering, Beijing Technology and Bussiness University, Beijing 100037, China
Abstract：The traditional NIR model was usually built according to various parameters of an individual type of milk powder so that it’s really time-consuming. To simplify the application of NIR in real-time quality detection of milk powder, it was proposed in the present paper to build NIR models for a sample set composed of different types of milk powder. With 70 samples provided by one manufacturer, 6 NIR models including acidity, fat, lactose, sucrose, protein and ash, were built by optimizing algorithms. The results indicated that these NIR models except the acidity model have good stability and high prediction ability (RSD<10%, RPD>3).
吴静珠1,3,王一鸣1*,张小超2,徐云1 . 基于近红外的奶粉品质检测技术研究[J]. 光谱学与光谱分析, 2007, 27(09): 1735-1738.
WU Jing-zhu1,3, WANG Yi-ming1*, ZHANG Xiao-chao2, XU Yun1 . Study on Quality Detection of Milk Powder Based on Near Infrared Spectroscopy (NIR). SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(09): 1735-1738.
