| 光谱学与光谱分析 |
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| The Quality Assessment of Cigarette Paper by SIMCA and PLS Combined with Near Infrared Spectrum |
| WANG Jia-jun1,WANG Fan2,MA Ling1 |
1. Production Research Center, Honghe Cigarette General Factory, Mile 652300, China
2. Department of Chemistry, Qujing Teacher’s College, Qujing 655000, China |
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Abstract By using algorithm of SIMCA and partial least squares(PLS) combined with Fourier transform near infrared spectra(FT-NIR), the classification methods were established for the discrimination of cigarette paper. Meanwhile, the calibration models were established for the determination of the grammage, thickness, permeability, moisture and ash of cigarette paper. Correlation coefficients of the models were 0.976 8, 0.966 4, 0.947 0, 0.956 3 and 0.975 9, and the root mean square errors of cross validation (RMSECV) were 0.561 4, 0.096 0, 1.274 1, 0.096 7 and 0.260 3 respectively. The methods has been applied to the determination and discrimination of unknown samples with satisfactory results.
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Received: 2005-06-16
Accepted: 2005-09-08
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Corresponding Authors:
WANG Jia-jun
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| Cite this article: |
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WANG Jia-jun,WANG Fan,MA Ling. The Quality Assessment of Cigarette Paper by SIMCA and PLS Combined with Near Infrared Spectrum [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(10): 1858-1862.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2006/V26/I10/1858 |
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