| 光谱学与光谱分析 |
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| Study on the Robust NIR Calibration Models for Moisture |
| LI Yong1, WEI Yi-min1*, ZHANG Bo1, YAN Yan-lu2 |
1. Institute of Agro-Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100094, China
2. College of Information and Electrical Engineering, China Agriculture University, Beijing 100094, China |
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Abstract The differences in sample moisture affect the robustness of NIR model obviously. In the present paper, three approaches, including preprocessing spectra, selecting wavelength, and setting up global calibration, were investigated to analyze the feasibility of setting up robust calibrations based on the protein content of wheat with different moistures. It has been found that with only spectral pretreatment method it fails to obtain satisfactory results, which can not remove the effects caused by moisture difference. Both selecting wavelengths and developing global calibration model proved to be good approaches for developing robust NIR calibration, yet developing global calibration is better. The mechanisms of the three different methods were also analyzed theoretically.
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Received: 2005-01-18
Accepted: 2005-05-10
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Corresponding Authors:
WEI Yi-min
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