| 光谱学与光谱分析 |
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| Quantitative Analysis of Mn, Cr in Steel Based on Laser-Induced Breakdown Spectroscopy |
| WANG Qi1，CHEN Xing-long1, YU Rong-hua2, XU Ming-ming1, YANG Yang1, WU Bian1, NI Zhi-bo1, DONG Feng-zhong1* |
1. Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
2. Department of Applied Physics, Hefei University of Technology, Hefei 230009, China |
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Abstract Quantitative analysis of trace elements such as manganese and chromium in steel was performed employing laser-induced breakdown spectroscopy (LIBS) technique in the present paper. The experimental measurements indicate that the optimal delay, focal plane and detecting position from the sample surface are 2 μs, -3.5 mm and 1.5 mm，respectively. Mn Ⅰ: 403.07 nm and Cr Ⅰ: 427.48 nm were selected as the analytical lines and their contents in the target steel sample were analyzed with traditional quantitative analysis and internal standard methods. Comparison of the results with two kinds of quantitatively analytical methods show that the coefficients of determination gained by internal standard method are 0.998 and 0.979 which are much better than the results obtained by traditional quantitative analysis method. According to the established calibration curve by internal standard method the detection limits of manganese and chromium calculated are 0.005% and 0.040 6%, respectively.
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Received: 2010-12-01
Accepted: 2011-03-25
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Corresponding Authors:
DONG Feng-zhong
E-mail: fzdong@aiofm.ac.cn
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[1] Hubmer G, Kitaberger R, Morwald K. Ana. Bioanal. Chem., 2006, 385(2): 219.
[2] Gruber J, Heitz J, Arnold N, et al. Appl. Spectrosc., 2004, 58(4): 457.
[3] Dario Santos J R, Nunes L C, Trevizan L C, et al. Spectrochim. Acta Part B, 2009, 64(10): 1073.
[4] Sturm V, Schmitz H U, Reuter T, et al. Spectrochim. Acta Part B, 2008, 63(10): 1167.
[5] Sorrentino F, Carelli G, Francesconi F, et al. Spectrochimica Acta Part B, 2009, 64(10): 1068.
[6] Ann Brysbaert, Krystalia Melessanaki, Demetrios Anglos. Journal of Archaeological Science, 2006, 33(8): 1095.
[7] Maria Brai, Gaetano Gennaro, Tiziano Schillaci, et al. Spectrochim. Acta Part B, 2009, 64(10): 1119.
[8] Yueh Fang-yu, Zhang Hongbo, Jagdish P Singh，et al. Spectrochim. Acta Part B, 2009, 64(10): 1059.
[9] Nina L Lanza, Roger C Wiens, Samuel M Clegg, et al. Appl. Opt.，2010, 49(13): C211.
[10] Strum V, Brysch A, Noll R. Berg-und Hüttenmnnische Monatshefte, 2007, 152(1): 28.
[11] Sturm V, Schmitz H U, Reuter T, et al. Spectrochim. Acta Part B, 2008, 63(10): 1167.
[12] Hiroyuki Kondo, Naoya Hamada, Kazuaki Wagatsuma. Spectrochim. Acta Part B，2009，64(9): 884.
[13] LI Ting-jun(李廷钧). Emission Spectrometry Analysis(发射光谱分析). Beijing: Atomic Energy Press(北京：原子能出版社), 1983. 294.
[14] Lopez Moreno C, Amponsah Manager K, et al. J. Anal. At. Spectrom., 2005, 20(6): 552.
[15] Wallis F J，Chadwick B L, Richard J S. Appl. Spectrosc., 2000, 54(8): 1231. |
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