光谱学与光谱分析 |
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Elemental Analysis of Rock with Remote Laser Induced Breakdown Spectroscopy |
ZHANG Ting-ting, SHU Rong, LIU Peng-xi, WAN Xiong* |
Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences, Shanghai 200083, China |
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Abstract As a kind of spectroscopic technique, the remote laser-induced breakdown spectroscopy (Remote LIBS) can qualitatively or quantitatively measure the elemental compositions of remote targets with high-power laser and focusing optical path. In this work, a Remote LIBS system was designed and established to probe the target from 2 to 10 meters. It is characterized with Cassegrain telescope structure and automatic focusing technique. Based on this system, a method to remotely retrieve the major elemental abundance of rocks is presented. With comparative experiment, the influences on spectral signal by pulse laser energy, acquisition delay time, integration time, accumulative pulse number are analyzed to find out the optimum parameters: the wavelength of laser is 1 064 nm, pulse energy is 120 mJ, delay time is 1.5 μs, integration time is 1 ms, and each spectrum data acquired with averaging 30 times detection. 48 pieces of rock specimens and 6 kinds of standard rock samples (shale, granite, andesite, basalt, gneiss and pegmatite) are selected for the experiment. As to the atomic spectra database, 8 characteristic spectral lines of the major elements (SiⅠ390.55 nm,AlⅠ394.40 nm,AlⅠ396.15 nm,CaⅡ396.85 nm,FeⅠ404.6 nm,SiⅠ500.60nm,MgⅠ518.36nm,NaⅠ589.59 nm) were extracted for analyses. Then a PLS model is constructed to quantitatively analyze the rock elements. 48 rock specimens were selected as the training sets to serve the model. The 6 standard samples were used to test the solved model. The testing results shows that the elemental abundance of Si and Al can be predicted accurately with average relative error of only 9.4% and 9.6% respectively.
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Received: 2016-01-11
Accepted: 2016-05-22
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Corresponding Authors:
WAN Xiong
E-mail: wanxiong@mail.sitp.ac.cn
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