| 光谱学与光谱分析 |
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| Quantitative Analysis of Contents in Compound Fertilizer and Application Research Using Near Infrared Reflectance Spectroscopy |
| SONG Le1, ZHANG Hong1, NI Xiao-yu1, WU Lin1, LIU Bin-mei2, YU Li-xiang2, WANG Qi1, WU Yue-jin1* |
1. Institute of Technical Biology and Agriculture Engineering, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
2. Key Laboratory of Ion Beam Bioengineering, Chinese Academy of Sciences, Hefei 230031, China |
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Abstract In the present study, a new approach to fast determining the content of urea, biuret and moisture in compound fertilizer composed of urea, ammonium dihydrogenphosphate and potassium chloride was proposed by using near infrared diffuse reflectance spectroscopy. After preprocessing the original spectrum, partial least squares (PLS) models of urea, biuret and moisture were built with the R2 values of 0.986 1, 0.977 0 and 0.971 3 respectively, the root mean square errors of cross validation were 2.59，0.38，0.132 respectively. And the prediction correlation factors were 0.973 3, 0.921 5 and 0.967 9 respectively. The authors detected six kinds of compound fertilizer in market for the model verification, the correlation factors were 0.923 7, 0.978 6 and 0.987 4 respectively. The data implied that the new method can be used for situ quality control in the production process of compound fertilizer.
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Received: 2013-03-27
Accepted: 2013-07-12
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Corresponding Authors:
WU Yue-jin
E-mail: yjwu@ipp.ac.cn
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[1] XU Kai-hong, WANG Jin-cheng, YIN Xi-sun(徐开宏，王金城，尹希笋). Bulletin of Agricultural Science and Technology(农业科技通讯), 1995, (11): 20.
[2] Chen Xiaoxiang, Zhu Sucai, Cai Yingjun. Chinese Journal of Spectroscopy Laboratory, 2008, 25(1): 14.
[3] He Yong，Huang Min，Annia Gareta. Computer and Electronics in Agriculture, 2007, (58): 144.
[4] Wang Xianzhong. Journal of Pingxiang College, 2001,(4): 73.
[5] GUO Zheng, YUAN Hong-fu, ZHANG Xian, et al(郭 峥，袁洪福，张 娴，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2011，31(6)：1521.
[6] Suehara K, Owari K, Kohda J. Journal of Near Infrared Spectroscopy, 2007, 15(2): 89.
[7] Ana Henriques, Paulo Cruz, Jorge Martins. Journal of Applied Polymer Science, 2011, 124: 2441.
[8] Chun Xiaoli. Molecular Spectroscopy Analytical Technology Combined with Chemometrics and its Applications(化学计量学方法与分子光谱分析技术). Chemical Industry Press(化学工业出版社), 2011.
[9] Inmaculada Gonzalez-Martin, Jose Miguel Hernandez-Hierro. Talanta, 2008, 76: 1130.
[10] Maleki M R, Van Holm L, Ramon H. Biosystems Engineering, 2006, 95(3): 425. |
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