| 光谱学与光谱分析 |
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| A Method for Time-Resolved Laser-Induced Breakdown Spectroscopy Measurement |
| PAN Cong-yuan1, HAN Zhen-yu1, LI Chao-yang1, YU Yun-si1, WANG Sheng-bo2, WANG Qiu-ping1* |
1. National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China
2. Department of Optics and Optical Engineering, University of Science and Technology of China, Hefei 230026, China |
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Abstract Laser-Induced Breakdown Spectroscopy (LIBS) is strongly time related. Time-resolved LIBS measurement is an important technique for the research on laser induced plasma evolution and self-absorption of the emission lines. Concerning the temporal characteristics of LIBS spectrum, a method is proposed in the present paper which can achieve μs-scale time-resolved LIBS measurement by using general ms-scale detector. By setting different integration delay time of the ms-scale spectrum detector, a series of spectrum are recorded. And the integration delay time interval should be longer than the worst temporal precision. After baseline correction and spectrum fitting, the intensity of the character line was obtained. Calculating this intensity with differential method at a certain time interval and then the difference value is the time-resolved line intensity. Setting the plasma duration time as X-axis and the time-resolved line intensity as Y-axis, the evolution curve of the character line intensity can be plotted. Character line with overlap-free and smooth background should be a priority to be chosen for analysis. Using spectrometer with ms-scale integration time and a control system with temporal accuracy is 0.021 μs, experiments carried out. The results validate that this method can be used to characterize the evolution of LIBS characteristic lines and can reduce the cost of the time-resolved LIBS measurement system. This method makes high time-resolved LIBS spectrum measurement possible with cheaper system.
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Received: 2013-07-09
Accepted: 2013-10-21
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Corresponding Authors:
WANG Qiu-ping
E-mail: qiuping@ustc.edu.cn
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[1] Cremers David A, Radziemski Leon J. Handbook of Laser-Induced Breakdown Spectroscopy. England: Wiley Online Library, 2006.
[2] Noll Reinhard. Laser-Induced Breakdown Spectroscopy: Fundamentals and Applications. Germany: Springer, 2012.
[3] Aguilera J A, Arag O N C. Spectrochimica Acta Part B: Atomic Spectroscopy, 2008, 63(7): 784.
[4] Ma Q L, Motto-Ros V, Lei W Q, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2010, 65(11): 896.
[5] Unnikrishnan V K, Alti K, Kartha V B, et al. Pramana, 2010, 74(6): 983.
[6] HOU Hua-ming，LI Ying，LU Yuan, et al(侯华明，李 颖，卢 渊, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2011, 31(3): 595.
[7] CONG Ran，ZHANG Bao-hua，FAN Jian-mei, et al(从 然，张保华，樊建梅, 等). Acta Optica Sinica(光学学报), 2009, 29(9): 2594.
[8] Aragon C, Aguilera J A. Spectrochimica Acta Part B: Atomic Spectroscopy, 2008, 63(9): 893.
[9] Bao Q, Feng J, Chen F, et al. Journal of Magnetic Resonance, 2012, 218: 35.
[10] Sun L X, Yu H B. Spectrochimica Acta Part B: Atomic Spectroscopy, 2009, 64(3): 278.
[11] Gornushkin I B, Eagan P E, Novikov A B, et al. Applied Spectroscopy, 2003, 57(2): 197.
[12] www.nist.gov/pml/data/asd.cfm.
[13] De Giacomo A, Dell Aglio M, De Pascale O, et al. Applied Surface Science, 2007, 253(19): 7677.
[14] De Giacomo A, Dell’Aglio M, Santagata A, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2005, 60(7-8): 935.
[15] Leme F O, Godoi Q, Kiyataka P H M, et al. Applied Surface Science, 2012, 258(8): 3598. |
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