光谱学与光谱分析 |
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Analysis of Cr in Soil by LIBS Based on Conical Spatial Confinement of Plasma |
LIN Yong-zeng, YAO Ming-yin, CHEN Tian-bing, LI Wen-bing, ZHENG Mei-lan, XU Xue-hong, TU Jian-ping, LIU Mu-hua* |
Optics-Electrics Application of Biomaterials Lab,College of Engineering, Jiangxi Agricultural University, Nanchang 330045,China |
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Abstract The present study is to improve the sensitivity of detection and reduce the limit of detection in detecting heavy metal of soil by laser induced breakdown spectroscopy(LIBS).The Cr element of national standard soil was regarded as the research object. In the experiment, a conical cavity with small diameter end of 20 mm and large diameter end of 45 mm respectively was installed below the focusing lens near the experiment sample to mainly confine the signal transmitted by plasma and to some extent to confine the plasma itself in the LIBS setup. In detecting CrⅠ425.44 nm, the beast delay time gained from experiment is 1.3 μs, and the relative standard deviation is below 10%. Compared with the setup of non-spatial confinement, the spectral intensity of Cr in the soil sample was enhanced more than 7%. Calibration curve was established in the Cr concentration range from 60 to 400 μg·g-1. Under the condition of spatial confinement, the liner regression coefficient and the limit of detection were 0.997 71 and 18.85 μg·g-1 respectively, however, the regression coefficient and the limit of detection were 0.991 22 and 36.99 μg·g-1 without spatial confinement. So, this shows that conical spatial confinement can improve the sensitivity of detection and enhance the spectral intensity. And it is a good auxiliary function in detecting Cr in the soil by laser induced breakdown spectroscopy.
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Received: 2013-03-20
Accepted: 2013-06-07
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Corresponding Authors:
LIN Yong-zeng
E-mail: suikelmh@sohu.com
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[1] SUN Lan-xiang, YU Hai-bin, CONG Zhi-bo,et al(孙兰香,于海斌,丛智博,等). Acta Optical Sinica(光学学报),2010, 30(9):2758. [2] CONG Zhi-bo, SUN Lan-xiang, XIN Yong,et al(丛智博,孙兰香,辛 勇,等). Metallurgical Analysis(冶金分析),2011, 31(4):9. [3] LU Yun-zhang, WANG Jia-sheng, QIAO Dong-po,et al(路运章,汪家升,乔东坡,等). Metallurgical Analysis(冶金分析), 2010, 30(7): 10. [4] Hussain T, Gondal M A. Bull. Environ. Contam. Toxicol., 2008, 80: 561. [5] Rai Nilesh K, Rai A K. Journal of Hazardous Material,2008, 150: 835. [6] ZHANG Qian, XIONG Wei, ZHAO Fang,et al(张 谦,熊 威,赵 芳,等). Environmental Science & Technology(环境科学与技术), 2009, 32(12D): 98. [7] Lidiane Cristina Nunes, Jez Willian Batista Braga, Lilian Cristina Trevizan,et al. Journal of Analytical Atomic Spectrometry,2010, 25: 1453. [8] ZHANG Da-cheng, MA Xin-wen, ZHU Xiao-long,et al(张大成,马新文,朱小龙,等). Acta Physica Sinica,2008, 57(10): 6348. [9] Edilene C Ferreira, Eveline A Menezes, Wladiana O Matos,et al. Food Contral, 2010, 21: 1327. [10] Danielle Cleveland, Robert G Michel. Microchemical Journal, 2010, 95: 120. [11] Guo L B, Zhang B Y, He X N, et al. Optics Express, 2012, 20(2): 1436. [12] Yuji Lkeda, Ahsa Moon, Masashi Kaneko. Applied Optics, 2010, 49(13): C95. [13] Liu Yuan, Baudelet Matthieu, Richardson Martin. Journal of Analytical Atomic Spectrometry,2010, 25: 1316. [14] Liu Yuan, Bousquet Bruno, Baudelet Matthieu,et al. Spectrochimica Acta Part B, 2012, 73: 89. [15] http://physics.nist.gov/PhysRefData/ASD/lines_form.html. [16] SUN Lan-xiang, YU Hai-bin, GUO Qian-jin,et al(孙兰香,于海斌,郭前进,等). Chinese Journal of Scientific Instrument(仪器仪表学报),2008, 29(10): 2235. [17] LU Cui-ping, LIU Wen-qing, ZHAO Nan-jing,et al(鲁翠萍,刘文清,赵南京,等). Acta Phys. Sin.(物理学报),2011, 4: 045206. |
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