| 光谱学与光谱分析 |
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| Discrimination of Varieties of Cola Using Visual-Near Infrared Spectra |
| QIU Zheng-jun,LU Jiang-feng,MAO Jing-yuan,HE Yong* |
| College of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou 310029,China |
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Abstract A new method was developed to fast discriminate the brands of cola by means of visual-near infrared spectroscopy (NIRS). Three different brands of cola (Coca-cola,Pepsi-cola and Future-cola) were analyzed using a handheld near infrared spectrometer produced by ASD Company. Fifty five samples were used for each brand of cola,and they were divided randomly into a group of 150 samples as calibrated samples and one of 15 samples as prediction samples. The samples data were pretreated using average smoothing and standard normal variable method,and then the pretreated spectra data were analyzed using principal component analysis (PCA). The principal component data of calibrated samples were used as the inputs of back-propagation artificial neural network (ANN-BP),while the values of cola brands used as the outputs of ANN-BP,and then the three layers ANN-BP discrimination model was built. The 15 unknown prediction samples were analyzed by the ANN-BP model. The result showed that the distinguishing rate was 100%;it was realized to discriminate different brands of Cola rapidly and exactly.
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Received: 2007-01-12
Accepted: 2007-03-28
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Corresponding Authors:
HE Yong
E-mail: yhe@zju.edu.cn
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| Cite this article: |
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QIU Zheng-jun,LU Jiang-feng,MAO Jing-yuan, et al. Discrimination of Varieties of Cola Using Visual-Near Infrared Spectra [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(08): 1543-1546.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2007/V27/I08/1543 |
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