| 光谱学与光谱分析 |
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| Design of High-Efficiency Double Compound Parabolic Concentrator System in Near Infrared Noninvasive Biochemical Analysis |
| GAO Jing1,2, LU Qi-peng1*, PENG Zhong-qi1, DING Hai-quan1, GAO Hong-zhi1 |
1. State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract High signal-to-noise ratio (SNR) of system is necessary to obtain accurate blood components in near infrared noninvasive biochemical analysis. In order to improve SNR of analytical system, high-efficiency double compound parabolic concentrator (DCPC) system was researched, which was aimed at increasing light utilization efficiency. Firstly, with the request of collection efficiency in near infrared noninvasive biochemical analysis, the characteristic of emergent rays through compound parabolic concentrator (CPC) was analyzed. Then the maximum focusing angle range of the first stage CPC was determined. Secondly, the light utilization efficiency of truncated type was compared with standard DCPC, thus the best structure parameters of DCPC system were optimized. Lastly, combined with optical parameters of skin tissue, calculations were operated when incident wavelength is 1 000 nm. The light utilization efficiency of DCPC system, CPC-focusing mirror system, and non-optical collecting system was calculated. The results show that the light utilization efficiency of the three optical systems is 1.46%, 0.84% and 0.26% respectively. So DCPC system enhances collecting ability for human diffuse reflection light, and helps improve SNR of noninvasive biochemical analysis system and overall analysis accuracy effectively.
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Received: 2012-10-15
Accepted: 2012-12-26
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Corresponding Authors:
LU Qi-peng
E-mail: luqipeng@126.com
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[1] CHEN Xing-dan(陈星旦). Optics and Precision Engineering(光学 精密工程)，2008，16(5)：759.
[2] LI Ya-ping，ZHANG Guang-jun，LI Qing-bo(李亚萍，张广军，李庆波). Acta Optica Sinica(光学学报)，2010，30(3)：854.
[3] Shinde A A, Prasad R K. IJEST, 2011, 3(12): 8325.
[4] Huang Zhenhao, Hao Changning, Zhang Linlin, et al. Proc. of SPIE, 2012, 81931: 81931O-1.
[5] Jaspreet Kaur, Jagdish Kumar, Sardana H K, et al. International Conference on Optics and Photonics, 2009.
[6] Yang Yue, Chen Wenliang, Shi Zhenzhi, et al. Chinese Optics Letters, 2010, 8(4): 421.
[7] Miguel Pleitez, Hermann von Lilienfeld-Toal, Werner Mntele. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2012, 85: 61.
[8] Welford W T, Winston R. The Optics of Nonimaging Concentrators. New York: Academic Press, 1978.
[9] Kara A Shell, Scott A Brown, Mark A Schuetz, et al. Proc. of SPIE, 2011, 8108: 81080A-1.
[10] Roland Winston. Journal of Photonics for Energy, 2012, 2: 025501-1.
[11] LI Qu, YU Xiu-qin, QU Gang, et al(李 劬，虞秀琴，屈 刚，等). Acta Optica Sinica(光学学报)，1998，18(8)：1097.
[12] Segal A, Epstein M. Proc. of SPIE, 2009, 7423: 74230H-1.
[13] MA Ming, ZHENG Hong-fei, LI Jia-chun(马 鸣，郑宏飞，李家春). Solar Energy(太阳能)，2011，7：33.
[14] Kenji Iino, Katsuhiko Maruo, Hidenobu Arimoto，et al. Optical Review, 2003, 10(6): 600. |
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