| 光谱学与光谱分析 |
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| Identification of Reconstructed Milk in Raw Milk Using Near Infrared Spectroscopy |
| HAN Dong-hai, LU Chao, LIU Yi, PI Fu-wei |
| College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China |
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Abstract Feasibility of reconstituted-milk identification in raw milk was investigated using near infrared spectroscopy. And the applicability of MSC for reconstituted-milk identification was discussed. The discrimination analysis calibration was developed by SIMCA method, and the result indicated that the accuracy of detection is 100%，when the content of reconstructed Milk is above 20%, while for the 10% reconstituted milk, the accuracy of detection is 96.7%; On the other hand, the quantity models of reconstituted milk were calibrated by partial least squares regression (r=0.971, RMSECV=7.76%, RPD=5.13), and there were no significant differences between actual value and reconstituted milk prediction value by t test (p=0.01). All of these suggested that NIRS has good potential to detect adulteration of raw milk with reconstituted milk.
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Received: 2005-12-29
Accepted: 2006-04-28
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Corresponding Authors:
HAN Dong-hai
E-mail: caundt@cau.edu.cn
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| Cite this article: |
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HAN Dong-hai,LU Chao,LIU Yi, et al. Identification of Reconstructed Milk in Raw Milk Using Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(03): 465-468.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2007/V27/I03/465 |
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