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Study on quality detection of milk powder based on near infrared spectroscopy (NIR)

文献类型： 外文期刊

作者： Wu Jing-zhu 1 ; Wang Yi-ming 2 ; Zhang Xiao-chao 2 ; Xu Yun 2 ;

作者机构： 1.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China

2.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China; Chinese Acad Agr Mech Sci, Beijing 100083, Peoples R China; Beijing Technol & Business Univ, Sch Informat Engn, Beijing 100037, Peoples R China

关键词： NIR;milk powder;model optimization

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2007 年 27 卷 9 期

页码：

收录情况： SCI

摘要： 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).

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