光谱学与光谱分析 |
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Raman Spectroscopy Measurement System of Dual Wavelength Laser Module |
FAN Xian-guang1, LI Fan1, WANG Xin1*, XU Ying-jie1, ZENG Yong-ming2, CHEN Qi-zhen2 |
1. Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen 361005, China 2. College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China |
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Abstract Fluorescence interference is one of common interference factors during detectionof Raman spectroscopy, while shifted-excitation Raman difference spectroscopy(SERDS) is an effective detection means to reject it. SERDS excites the test substance by two laser with different wavelengths, then difference the obtained Raman spectroscopies. SERDS can eliminate the fluorescence interference effectively, because the fluorescence backgrounds of the two spectroscopies are the same while the Raman peaks are translated. The key factor of SERDS is the stability of the two excitation light wavelengths, the instability of wavelength difference would seriously affect the characteristics of the Raman peak reproduction. In this paper, the Raman spectroscopy measurement system is presented, where dual wavelength laser module can stably produce two bunch of excitation light (respectively 784.7 and 785.8 nm), which satisfies the requirements of SERDS detection. The major factors influencing wavelength of the laser are laser power and temperature. The system monitors them in real time to guarantee the stability of exciting light’s wavelength. The hardware framework of this measurement system is mainly composed of ARM, dual wavelength laser module as well as its driving circuit, temperature control circuit, a digital optical switch, a spectrometer; the software of this system can achieve the Raman spectrogram automatically and then carry on the subsequent processing. The stability tests of this system for drive current and laser temperature are done. The experimental results demonstrate that the range of current proves to be less than 0.01 mA, the range of temperature less than 0.004 ℃. The system can guarantee the stability of excitation wavelength effectively. Finally, perform the Raman spectroscopy detection to sesame oil of some brand and get good results.
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Received: 2014-01-29
Accepted: 2014-04-11
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Corresponding Authors:
WANG Xin
E-mail: xinwang@xmu.edu.cn
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[1] Chalmers J M, Griffiths Peter R. Handbook of Vibrational Spectroscopy. John Wiley & Sons Ltd., 2003. [2] Smith E, Dent G. Modern Raman Spectroscopy——A Practical Approach. John Wiley & Sons Ltd., 2004. [3] Bauer C, Amram B, Agnely M. Applied Spectroscopy,2000, 54(4): 528. [4] Otakar F, Jan J, Howell G M E. Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy, 2007, 68(4), 1065. [5] ZHAO Hong-xia, GAN Fu-xi(赵虹霞, 干福熹).The Journal of Light Scattering(光散射学报), 2009, 21(4): 345. [6] GU Zhen-hua, ZHAO Yu-xiang, WU Wei-ping, et al(顾振华, 赵宇翔, 吴卫平, 等). Chemical World(化学世界), 2011, 1: 14. [7] Mosier-Boss P, Lieberman S, Newbery R. Applied Spectroscopy, 1995, 49(5): 630. [8] Macdonald A M, Wyeth P. J. Raman Spectroscopy, 2006, 37(8): 830. [9] McCain S T, Willett R M, Brady D J. Applied Spectroscopy, 2008, 16(15): 10976. [10] Maiwald M, Erbert G, Klehr A, et al. Applied Physics B-Lasers and Optics, 2006, 85(4): 509. [11] Zhao Jun, Mike M Carrabba, Fritz S Allen. Applied Spectroscopy, 2002, 56(7): 834. [12] LU Kai, LIU Bai-yu, BAI Yong-ling, et al(卢 凯, 刘百玉, 白永林, 等). Infrared and Laser Engineering(红外与激光工程), 2012, 41(10): 2680. [13] Cong Menglong, Chen Chen, Cui Yansong, et al. Design of a Digital Control Laser Driving Source Based on Dual Feedback Theory. Proceeding-International Conference on Electrical and Control Engineering, ICECE, 2010. 3551. [14] XU Wen-hai, YANG Ming-wei, TANG Wen-yan(许文海, 杨明伟, 唐文彦). Infrared and Laser Engineering(红外与激光工程), 2004, 33(5): 465.
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