光谱学与光谱分析 |
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Study of Temperature Correction in the PLS Near-Infrared Quantitative Analysis of the Wheat |
LUO Chang-bing1,2, CHEN Li-wei3, YAN Yan-lu1,2, WANG Wen-zhen4, WANG Zhong-yi1* |
1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China 2. Research Center for Shi-Nong Lü-Fang, Beijing 100094, China 3. Southwest Scientific and Technical University Computer Institute, Mianyang 621010, China 4. Chinese Institute of Agricultural Sciences Crops Research Institute, Beijing 100081, China |
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Abstract The influence of sample temperature on the wheat PLS near infrared (NIR) quantitative analysis was studied with 45 wheat seeds. The original spectra of the wheat seeds were measured at different temperatures. The temperature corrections were subtracted from the original spectra of the samples by using the PLS algorithm. The corrected spectra were used to build the mathematical model of the near-infrared quantitative analysis of the wheat. The results show that the influence of sample temperature on the mathematical model can be eliminated effectively when the temperature correction was performed in the calculation, improving the stability and prediction of this mathematical model.
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Received: 2006-05-10
Accepted: 2006-08-20
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Corresponding Authors:
WANG Zhong-yi
E-mail: cau_wzy@vip.sohu.com
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Cite this article: |
LUO Chang-bing,CHEN Li-wei,YAN Yan-lu, et al. Study of Temperature Correction in the PLS Near-Infrared Quantitative Analysis of the Wheat[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(10): 1993-1996.
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URL: |
https://www.gpxygpfx.com/EN/Y2007/V27/I10/1993 |
[1] YAN Yan-lu, ZHAO Long-lian, HAN Dong-hai, et al(严衍禄,赵龙莲,韩东海,等). Foundation of Near Infrared Spectra Analysis and Its Application(近红外光谱分析基础与应用). Beijing:China Light Industry Publishing House(北京:中国轻工业出版社),2005. 37, 132. [2] Delwiche S R,Norris K H,Pitt R E. Appl. Spectroscopy,1992,46:782. [3] Florian Wulfert,Wim Th Kok,Age K Smilde. Anal. Chem.,1998,70:1761. [4] XU Zhi-long,ZHAO Long-lian,YAN Yan-lu(徐志龙, 赵龙莲, 严衍禄). Modern Instruments(现代仪器),2004,10(5):29. [5] WANG Hui-wen(王惠文). Partial Least Squares Regression Method and Its Application(偏最小二乘回归方法及其应用). Beijing:National Defense Industry Publishing House(北京:国防工业出版社),1999. [6] ZHANG Jun,CHEN Hua-cai,CHEN Xing-dan(张 军, 陈华才, 陈星旦). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(6):890. [7] WANG Jia-jun, WANG Fan, MA Ling(王家俊, 汪 帆, 马 玲). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2006,26(10):1858. [8] Roy A Walters. Temperature Effects on 2000 Series Spectrometer Systems,Technical Files of Ocean CO. LTD,1999. [9] ZHU Er-yi, YANG Peng-yuan(朱尔一,杨原). Application and Technique of Chemometric(化学计量学技术及应用). Beijing: Science Press(北京:科学出版社),2001. 186. [10] LU Wan-zhen, YUAN Hong-fu, XU Guang-tong(陆婉珍,袁洪福,徐广通). The Modern Analysis Technique for Near-Infrared Spectra(现代近红外光谱分析技术). Beijing: Chinese Oil and Chemical Press(北京:中国石化出版社),2000. 193. [11] 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. [12] YAN Yan-lu, JING Mao, ZHANG Lu-da(严衍禄,景 茂,张录达). Acta of Beijing Agricultural University(北京农业大学学报),1990,16(suppl.): 37. |
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