| 光谱学与光谱分析 |
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| Application of DS Algorithm to the Calibration Transfer in Near-Infrared Spectroscopy |
| LI Qing-bo1,ZHANG Guang-jun1*,XU Ke-xin2,WANG Yan2 |
1. College of Instrument Science and Opto-Electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
2. State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China |
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Abstract Calibration transfer in multivariate calibration is one of the most important and key issues in near-infrared spectral analysis technology. The model was transferred by means of finding the transformation relation between two instruments of the same type, so that the model established on one instrument could be used on the other to predict the spectral response. In this paper, direct standardization (DS) algorithm was investigated for resolving calibration transfer in multivariate calibration of chemometrics. In addition, the selection method for the transfer set samples was studied in this paper. The experiment of model transfer was carried out between two AOTF near-infrared spectrometers. Firstly, the Kennard/Stone algorithm was adopted to select the transfer set samples, and then DS algorithm was applied to the calibration transfer. The experimental results showed that DS algorithm was effective for model transfer. DS algorithm is applicable to not only instrument standardization, but also the correction of the spectral differences induced by baseline drift for a long time or the replacement of measurement modules for the same instrument.
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Received: 2005-12-08
Accepted: 2006-03-01
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Corresponding Authors:
ZHANG Guang-jun
E-mail: gjzhang@buaa.edu.cn
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| Cite this article: |
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LI Qing-bo,ZHANG Guang-jun,XU Ke-xin, et al. Application of DS Algorithm to the Calibration Transfer in Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(05): 873-876.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2007/V27/I05/873 |
[1] XU Guang-tong, YUAN Hong-fu, LU Wan-zhen(徐广通，袁洪福，陆婉珍). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2001, 21(4): 459.
[2] CHU Xiao-li, YUAN Hong-fu, LU Wan-zhen(褚小立，袁洪福，陆婉珍). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2001, 21(6): 881.
[3] CHU Xiao-li, YUAN Hong-fu, LU Wan-zhen(褚小立，袁洪福，陆婉珍). Chinese Journal of Analytical Chemistry(分析化学), 2002, 30(1): 114.
[4] Bouveresse E, Casolino C, de la Pezuela C. Journal of Pharmaceutical and Biomedical Analysis, 1998, 18: 35.
[5] Annette Behrens. Spectrochimica Acta，Part B, 1997, 52: 445.
[6] Frédéric Despagne, D Luc Massart, Martin Jansen, et al. Analytica Chimica Acta, 2000, 406: 233.
[7] Sales F, Callao M P, Rius F X. Chemometrics and Intelligent Laboratory Systems, 1997, 38: 63.
[8] Leo H Chiang, Randy J Pell, Mary Beth Seasholtz. Journal of Process Control, 2003, 13: 437. |
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