| 光谱学与光谱分析 |
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| Design and Implementation of a Long Wavelength Near InfraRed Spectrometer Based on MEMS Scanning Mirror |
| YE Kun-tao1, DONG Tai-yuan1, HE Wen-xi1, LI Yu-xiao1, CHENG Xian-ming1, LI Guang-yong1, LI Hao-yu2, XU Xiao-xuan2* |
1. College of Science, Jiangxi University of Science and Technology, Ganzhou 341000, China
2. College of Physics, Nankai University, Tianjin 300071, China |
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Abstract Long Wavelength Near InfraRed(LW-NIR) spectrometer has wide applications. Miniaturization and low-cost are two major goals of the development of LW-NIR spectrometer in the industrial or research community. Under the background that having a trend of spectrometer miniaturization and integration, method and main problems involved in miniaturization of LW-NIR spectrometer through MEMS scanning mirror, such as the design strategy of the light-splitting optical system, selection considerations of the MEMS scanning mirror, design method of the preamplifier circuit, etc, have been presented in detail. A prototype of miniaturized LW-NIR spectrometer, with the spectrum range of detection of 900～2 055 nm, is designed and implemented using MEMS scanning mirror, InGaAs single detector unit with high sensitivity. Littrow optical layout is used for its light-splitting optical system, and the spectral resolution is between 9.4～16 nm at 1 000～1 965 nm detection wavelength range. The prototype is successfully applied in LW-NIR spectrum measurement on pure water and ethanol aqueous solution, and a forecast analysis on ethanol aqueous solution concentration is also demonstrated. Through adopting MEMS scanning mirror into the spectrometer system, the complexity of the mechanical scanning fixtures and its controlling mechanism is greatly reduced therefore the size of the spectrometer is reduced. Furthermore, due to MEMS scanning mirror technology, LW-NIR spectrometer with single InGaAs detector is achieved, thus the cost reduction of the NIR spectrometer system is also realized because the expensive InGaAs arrays are avoided.
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Received: 2013-10-31
Accepted: 2014-02-15
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Corresponding Authors:
XU Xiao-xuan
E-mail: xuxx@nankai.edu.cn
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[1] Kurokawa U, Choi B II, Chang C. IEEE Sensors Journal, 2011, 11(7): 1556.
[2] Koshkin Y S, Mukhin E E, Razdobarin G G, et al. Review of Scientific Instruments, 1999, 70(10): 3844.
[3] Li Z, Deen M J, Fang Q, et al. Applied Optics, 2012, 51(28): 6855.
[4] Patterson B A, Antoni M, Courtial J, et al. Optics Communications, 1996, 130(1): 1.
[5] Saggin B, Scaccabarozzi D. Applied Spectroscopy, 2011, 65(6): 627.
[6] Misono M, Henmi N, Hosoi T, et al. IEEE Photonics Technology Letters, 1996, 8(4): 572.
[7] Bellincontro A, Taticchi A, Servili M, et al. Journal of Agricultural and Food Chemistry, 2012, 60(10): 2665.
[8] Manzardo O, Herzig H P, Marxer C R, et al. Optics Letters, 1999, 24(23): 1705.
[9] Pierna J A F, Vermeulen P, Lecler B, et al. Applied Spectroscopy, 2010, 64(6): 644.
[10] Seren H R, Holmstrom S, Averda N P, et al. Journal of Microelectromechanical Systems, 2012, 21(2): 331.
[11] Kraft M, Kenda A, Frank A, et al. Analytical and Bioanalytical Chemistry, 2006, 386(5): 1259.
[12] TIAN Gao-you，CHU Xiao-li，YUAN Hong-fu，et al(田高友, 褚小立, 袁洪福, 等). Modern Scientific Instruments(现代科学仪器), 2005, 4: 17.
[13] Mizukami M, Yamaguchi J, Nemoto N, et al. Applied Optics, 2011, 50(21): 4037.
[14] Baran U, Brown D, Holmstrom S, et al. Journal of Microelectromechanical Systems, 2012, 21(6): 1303.
[15] Deng Ruru, He Yingqing, Qin Yan, et al. Journal of Remote Sensing, 2012, 16(1): 192. |
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