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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 |
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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.
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Received: 2016-11-22
Accepted: 2017-04-19
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Corresponding Authors:
YANG Ren-jie
E-mail: rjyang1978@163.com
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[1] YAN Hui, CHEN Bin, ZHU Wen-jing(颜 辉,陈 斌,朱文静). Transactions of The Chinese Society of Agricultural Machinery(农业机械学报),2009, 40: 149.
[2] Lu Chenghui, Xing Bingren, Hao Gang, et al. J. Near infrared Spectroscopy, 2009, 17: 59.
[3] Mauer L J, Chernyshova A A, Hiatt A, et al. J. Agric. Food Chem., 2009, 57: 3974.
[4] DING Li, XIANG Yu-hong, ZHANG Zhuo-yong(丁 丽,相玉红,张卓勇). Journal of Capital of Normal University(首都师范大学学报), 2010, 31: 26.
[5] Noda I,Ozaki Y. Hoboken:1nd ed. Johns Wiley & Sons, 2004.
[6] Noda I. Journal of Molecular Structure, 2014, 1069: 3.
[7] Noda I. Journal of Molecular Structure, 2014, 1069: 23.
[8] CHEN Bin, TIAN Ping, LU Dao-li, et al(陈 斌,田 萍,陆道礼,等). China Patent(中国专利), 201310058510X, 2013.
[9] Barton F E, Himmelsbach D S, McClung A M, et al. Cereal Chemistry, 2002, 79(1): 143.
[10] Fudge A L, Wilkinson K L, Ristic R, et al. Food Chem., 2013, 139: 115.
[11] Chen Bin, Tian Ping, Lu Daoli, et al. Anal. Methods, 2012, 4:4310.
[12] Yang R J, Liu R, Dong G M, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2016, 157: 50.
[13] Yang R J, Dong G M, Sun X S, et al. Analytical Methods, 2015, 7: 4302.
[14] Yang Renjie, Liu Rong, Xu Kexin, et al. Proc. of SPIE, 2014, 8939: 893912-1.
[15] Liu X, Jia G, Wu C, et al. Journal of Near Infrared Spectroscopy, 2010, 18: 113. |
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