Detection of Melamine in Milk Powder Based on Near Infrared Auto-correlation Spectroscopy
LIU Hai-xue1, 3, YANG Ren-jie2*, ZHU Wen-bi3, SUN Xue-shan2, LIU Yang1, JIN Tao3, JIN Hao2
1. College of Agronomy & Resources and Environment, Tianjin Agricultural University, Tianjin 300384, China
2. College of Engineering and Technology, Tianjin Agricultural University, Tianjin 300384, China
3. Center for Agricultural Analysis and Testing, Tianjin Agricultural University, Tianjin 300384, China
Abstract：A method for detecting melamine in milk powder was developed based on near infrared (NIR) auto-correlation spectroscopy. Forty pure milk powder samples and forty adulterated milk powder samples with different relative factions of melamine (10-4%~40%, w/w) were prepared. The NIR reflectance spectra of all samples were collected in the range of 10 000~4 000 cm-1. Synchronous two-dimensional (2D) NIR correlation spectrum was calculated under the perturbation of melamine concentration, and the 7 000~4 200 cm-1 region was selected to establish a model. Then, based on the extracting information of auto-correlation spectra, the classification and quantification models of adulterated milk powder were established using partial least square (PLS) method. The 100% classification accuracy and the root mean square errors of prediction (RMSEP) of 0.63% were achieved, while the classification accuracy and RMSEP were 96.2% and 0.84%, respectively, using conventional one-dimensional NIR spectra, which showed that the auto-correlation spectra could provide better results, probably because more characteristic information could be extracted than conventional one-dimensional NIR spectra.
Key words：Near-infrared auto-correlation spectroscopy; Milk powder; Melamine; Partial least square
刘海学，杨仁杰，朱文碧，孙雪杉，刘 洋，靳 涛，靳 皓. 基于近红外自相关谱检测奶粉中的三聚氰胺[J]. 光谱学与光谱分析, 2017, 37(10): 3074-3077.
LIU Hai-xue, YANG Ren-jie, ZHU Wen-bi, SUN Xue-shan, LIU Yang, JIN Tao, JIN Hao. Detection of Melamine in Milk Powder Based on Near Infrared Auto-correlation Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(10): 3074-3077.
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