光谱学与光谱分析 |
|
|
|
|
|
Laser Induced Breakdown Spectroscopy for the Determination of Cr and Sr in Soil |
HUANG Ji-song, CHEN Qiao-ling, ZHOU Wei-dong* |
College of Information Optics, Zhejiang Normal University, Jinhua 321004, China |
|
|
Abstract As a powerful and promising analytical technique, laser-induced breakdown spectroscopy (LIBS) has been undergoing a rapid development in the past years. LIBS technique allows for rapid, multi-elemental, in situ measurements, and has been proposed for real time soil analysis. Currently, a global effort is focused on how to further improve the analytical accuracy and repeatability of this promising technique. In the present paper, a method of laser induced breakdown spectroscopy (LIBS) for the determination of Cr and Sr in soil was established. The experimental instrument was mainly equipped with a pulsed 1 064 nm Nd∶YAG laser and a portable spectrometer. The behavior of shot to shot variation in spectra line intensity emitted by the laser plasma was studied. Data acquisition and processing procedures were experimentally optimized. The precision of the method was, in terms of RSD, 9.02% for Cr 425.44 nm and 10.5% for Sr 460.73 nm respectively (n=8). Detection limits were 25.3 mg·g-1 for Cr and 15.2 mg·g-1 for Sr in soil respectively. These results are better than the data reported in literature, indicating that the established LIBS method is suitable for the determination of heavy metal in soil.
|
Received: 2009-02-06
Accepted: 2009-02-06
|
|
Corresponding Authors:
ZHOU Wei-dong
E-mail: wdahou@zjnu.cn
|
|
[1] DeLucia F C, Samuels A C, Harmon R S, et al. IEEE Sensors Journal, 2005, 5(4): 481. [2] Rusak D A, Castle B C, Smith B W, et al. Critical Reviews in Analytical Chemistry, 1997, 27(5): 257. [3] Harmon R S, DeLucia F C, McManus C E, et al. Appl. Geochem., 2006, 21: 730. [4] Barbini R, Colao F, Fantoni R, et al. Appl. Phys. A, 1999, 69: S175. [5] Cremers D A, Barefield J E, Koskelo A C. Appl. Spectrosc., 1995, 49(6): 857. [6] Yamamoto K Y, Cremers D A, Ferris M J, et al. Appl. Spectrosc., 1996, 50(2): 222. [7] Wainner R T, Harmon R S, Miziolek W, et al. Spectrochimica Acta Part B, 2001, 56:777. [8] Capitelli F, Colao F, Provenzano M R, et al. Geoderma, 2002, 106(1): 45. [9] Yamamoto K Y, Cremers D A, Foster L E, et al. Appl. Spectroscopy, 2005, 59(9): 1082. [10] XU Hong-guang, GUAN Shi-cheng, FU Yuan-xia, et al(许洪光, 管士成, 傅院霞, 等). Chinese J. Laser(中国激光),2007,34(4): 577. [11] CHEN Jin-zhong, SI Jin-chao, ZHANG Xiao-ping(陈金忠,史金超, 张晓萍). Applied Laser(应用激光), 2007, 27(1): 33. [12] Pakhomov A V, Nichols W, Borysow J. Appl. Spectrosc., 1996, 50(7): 880. [13] Sabsabi M, Cielo P. Appl. Spectrosc., 1995, 49: 499. [14] Yueh F Y, Sharma R C, Singh J P, et al. J. Air. Waste Manng. Assoc., 2002, 52: 1307. |
[1] |
FAN Ping-ping,LI Xue-ying,QIU Hui-min,HOU Guang-li,LIU Yan*. Spectral Analysis of Organic Carbon in Sediments of the Yellow Sea and Bohai Sea by Different Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 52-55. |
[2] |
XU Tian1, 2, LI Jing1, 2, LIU Zhen-hua1, 2*. Remote Sensing Inversion of Soil Manganese in Nanchuan District, Chongqing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 69-75. |
[3] |
YANG Chao-pu1, 2, FANG Wen-qing3*, WU Qing-feng3, LI Chun1, LI Xiao-long1. Study on Changes of Blue Light Hazard and Circadian Effect of AMOLED With Age Based on Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 36-43. |
[4] |
LIU Jia1, 2, GUO Fei-fei2, YU Lei2, CUI Fei-peng2, ZHAO Ying2, HAN Bing2, SHEN Xue-jing1, 2, WANG Hai-zhou1, 2*. Quantitative Characterization of Components in Neodymium Iron Boron Permanent Magnets by Laser Induced Breakdown Spectroscopy (LIBS)[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 141-147. |
[5] |
BAO Hao1, 2,ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
[6] |
LI Hu1, ZHONG Yun1, 2, FENG Ya-ting1, LIN Zhen1, ZHU Shi-jiang1, 2*. Multi-Vegetation Index Soil Moisture Inversion Model Based on UAV
Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 207-214. |
[7] |
HAN Xue1, 2, LIU Hai1, 2, LIU Jia-wei3, WU Ming-kai1, 2*. Rapid Identification of Inorganic Elements in Understory Soils in
Different Regions of Guizhou Province by X-Ray
Fluorescence Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 225-229. |
[8] |
CHENG Hui-zhu1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, MA Qian1, 2, ZHAO Yan-chun1, 2. Genetic Algorithm Optimized BP Neural Network for Quantitative
Analysis of Soil Heavy Metals in XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3742-3746. |
[9] |
MENG Shan1, 2, LI Xin-guo1, 2*. Estimation of Surface Soil Organic Carbon Content in Lakeside Oasis Based on Hyperspectral Wavelet Energy Feature Vector[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3853-3861. |
[10] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
[11] |
YANG Wen-feng1, LIN De-hui1, CAO Yu2, QIAN Zi-ran1, LI Shao-long1, ZHU De-hua2, LI Guo1, ZHANG Sai1. Study on LIBS Online Monitoring of Aircraft Skin Laser Layered Paint Removal Based on PCA-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3891-3898. |
[12] |
LIANG Jin-xing1, 2, 3, XIN Lei1, CHENG Jing-yao1, ZHOU Jing1, LUO Hang1, 3*. Adaptive Weighted Spectral Reconstruction Method Against
Exposure Variation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3330-3338. |
[13] |
XIE Peng, WANG Zheng-hai*, XIAO Bei, CAO Hai-ling, HUANG Yi, SU Wen-lin. Hyperspectral Quantitative Inversion of Soil Selenium Content Based on sCARS-PSO-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3599-3606. |
[14] |
HUANG Zhao-di1, CHEN Zai-liang2, WANG Chen3, TIAN Peng2, ZHANG Hai-liang2, XIE Chao-yong2*, LIU Xue-mei4*. Comparing Different Multivariate Calibration Methods Analyses for Measurement of Soil Properties Using Visible and Short Wave-Near
Infrared Spectroscopy Combined With Machine Learning Algorithms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3535-3540. |
[15] |
SUN Cheng-yu1, JIAO Long1*, YAN Na-ying1, YAN Chun-hua1, QU Le2, ZHANG Sheng-rui3, MA Ling1. Identification of Salvia Miltiorrhiza From Different Origins by Laser
Induced Breakdown Spectroscopy Combined with Artificial Neural
Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3098-3104. |
|
|
|
|