| 光谱学与光谱分析 |
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| Studies on the Brand Traceability of Milk Powder Based on NIR Spectroscopy Technology |
| GUAN Xiao1, 2, GU Fang-qing2, LIU Jing3, YANG Yong-jian4 |
1. State Key Laboratory of Dairy Biotechnology, Shanghai 201103, China
2. School of Medical Instruments and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
3. College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
4. Shanghai Institute for Food and Drug Control, Shanghai 201203, China |
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Abstract Brand traceability of several different kinds of milk powder was studied by combining near infrared spectroscopy diffuse reflectance mode with soft independent modeling of class analogy (SIMCA) in the present paper. The near infrared spectrum of 138 samples, including 54 Guangming milk powder samples, 43 Netherlands samples, and 33 Nestle samples and 8 Yili samples, were collected. After pretreatment of full spectrum data variables in training set, principal component analysis was performed, and the contribution rate of the cumulative variance of the first three principal components was about 99.07%. Milk powder principal component regression model based on SIMCA was established, and used to classify the milk powder samples in prediction sets. The results showed that the recognition rate of Guangming milk powder, Netherlands milk powder and Nestle milk powder was 78%, 75% and 100%, the rejection rate was 100%, 87%, and 88%, respectively. Therefore, the near infrared spectroscopy combined with SIMCA model can classify milk powder with high accuracy, and is a promising identification method of milk powder variety.
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Received: 2013-01-03
Accepted: 2013-03-08
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Corresponding Authors:
GUAN Xiao
E-mail: gnxo@163.com
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