| 光谱学与光谱分析 |
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| Survey of the Development of Near-Infrared Spectroscopy Instruments |
| QI Xiao, HAN Jian-guo*, LI Man-li |
| Institute of Grassland Science, China Agricultural University，Beijing Major Laboratory, Beijing 100094, China |
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Abstract The technology of near-infrared spectroscopic analysis goes by the name of “superman” in the field of analytical chemistry. It is one of the most attention-attracting spectroscopic analysis technologies, and is developing rapidly nowadays. The first near-infrared spectroscopy (NIRS) instrument in the world is fifty years old. Although the authors only have a history of twenty years in NIRS instrument manufacturing, the achievements are exciting. The NIRS instruments are developing and emerging endlessly with the advancement of science. Firstly, the survey of the development of NIRS instruments is described in the present article. Secondly, the principles and the characteristics of five types of NIRS instruments are discussed, including interference filters, Fourier transform, acousto-optic tunable filter, and so on. In addition, the primary producers and their popular products are enumerated in the table. Finally, the direction of NIRS instrument development is viewed.
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Received: 2006-06-05
Accepted: 2006-10-20
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Corresponding Authors:
HAN Jian-guo
E-mail: grasslab@public3.bta.net.cn1
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| Cite this article: |
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QI Xiao,HAN Jian-guo,LI Man-li. Survey of the Development of Near-Infrared Spectroscopy Instruments[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(10): 2022-2026.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2007/V27/I10/2022 |
[1] Williams P, Norris K. Near-Infrared Technology in the Agricultural and Food Industries. Second Edition. Minnesota: American Association of Cereal Chemists, Inc, 2001. 109.
[2] WANG Xue-lin, SUN Shu-ping, TIE Mei(王学琳, 孙淑萍, 铁 梅). Modern Instruments(现代仪器), 1999, (6): 1.
[3] Wheeler O H. J. Chem. Educ., 1960, 37: 234.
[4] Abney W, Festing E R. Near-Infrared Spectral of Organic Liquids. Philos. Trans. R Soc., 1881, 172: 887.
[5] Kaye W. Spectrochim. Acta, 1954, 6: 257.
[6] Kaye W. Spectrochim. Acta, 1955, 7: 181.
[7] YAN Yan-lu, ZHAO Long-lian, HAN Dong-hai, et al(严衍禄，赵龙莲，韩东海，等). Foundation and Application of NIR Spectral Analysis(近红外光谱分析基础与应用). Beijing: China Light Industry Press(北京: 中国轻工业出版社), 2005. 82.
[8] LU Wan-zhen, YUAN Hong-fu, XU Guang-tong(陆婉珍, 袁洪福, 徐广通). Modern Analysis Technique for Near-Infrared Spectra(现代近红外光谱分析技术). Beijing: Sinica Petro-Chemistry Press(北京: 中国石化出版社), 2000. 37.
[9] XU Wen-ai, YUAN Hong-fu, et al(徐文爱, 袁洪福, 等). Modern Scientific Instruments(现代科学仪器), 1997, (3): 9.
[10] TIAN Di, JIN Qin-han(田 地, 金钦汉). Analytical Instrumentation(分析仪器), 2001, (3): 39.
[11] WU Hui-zhong, WANG Bai-hua, GAO Xue-jun(武惠忠, 王百华, 高学军). Modern Instruments(现代仪器), 2001, 7(5): 14.
[12] YUAN Hong-fu, LONG Yi-cheng, XU Guang-tong, et al(袁洪福, 龙义成, 徐广通, 等). Chinese Journal of Analytical Chemistry(分析化学), 1999, 27(5): 608.
[13] YUAN Hong-fu, CHU Xiao-li, LU Wan-zhen, et al(袁洪福, 褚小立, 陆婉珍, 等). Chinese Journal of Analytical Chemistry(分析化学), 2004, 32(2): 255.
[14] ZHANG Ye-hui, LAO Cai-lian, JI Hai-yan, et al(张晔晖, 劳彩莲, 吉海彦, 等). Modern Instruments(现代仪器), 2001, 5: 11.
[15] WANG Zhi-hong, LIN Jun, WU Zi-yu, et al(王智宏, 林 君, 武子玉, 等). Rock and Mineral Analysis(岩矿测试), 2005, 24(1): 59.
[16] Finch P. Measurement & Control, 1994, 27(5): 138.
[17] BI Wei-hong, TANG Yu-jun, YANG Xiao-li(毕卫红, 唐予军, 杨小莉). Semiconductor Optoelectronics(半导体光电), 2005, 26(3): 264.
[18] HE Jia-yao, PENG Rong-fei, ZHANG Zhan-xia(何嘉耀, 彭荣飞, 张展霞). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2002, 22(1): 67.
[19] HE Jia-yao, PENG Rong-fei, ZHANG Zhan-xia(何嘉耀, 彭荣飞, 张展霞). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2002, 22(1): 71.
[20] CHEN Ze-yong, PENG Rong-fei, ZHANG Zhan-xia(陈泽勇, 彭荣飞, 张展霞). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2002, 22(3): 453.
[21] SUN Zhen-dong, WAN Feng, ZHAO Yu-chun, et al(孙振东, 万 峰, 赵玉春, 等). Optical Technique(光学技术), 2002, 28(1): 36. |
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