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Study of Variable Selection Method Based on PLS for Quantitatively Measuring Heavy Metal in Water with LIBS
Hu Li1; Zhao Nan-jing2; Li Da-chuang1; Tang Lei1; Fang Li2
2017-08-01
Source PublicationSPECTROSCOPY AND SPECTRAL ANALYSIS
Volume37Issue:8Pages:2585-2589
AbstractThe spectral characteristics of multiple variables were regularly extracted for concentration inversion in the quantitative analysis of heavy metal with LIBS. However, overlapped spectral information might be contained among variables and the complexity of the regression model also would be increased. To extract effective feature variables, the variable selection method based on PLS was studied. PLS model established with the concentration of the element under test used as the dependent variable and multiple LIBS spectrum characteristic variables used as independent variables. The optimal variable subset was extracted on the basis of the original variable importance projection index for variable selection. The results showed that the optimal variable subset for Pb was composed of the Pb I 405.78 nm peak, the spectral values before Pb I 405.78 nm peak, the intensity corrected by the internal standard element and the signal to background in lake water, and the correlation coefficient square of the training set was 0.912. The optimal variable subset was used for PLS regression analysis, and RSD and RE of the test set were 10.2% and 7.9%, respectively, significantly better than the predictive results of the internal standard. It also showed that variable screening results for different elements and different water samples was applicative to some extent, but the internal standard element failed in correction for different water samples. The results provided high quality characteristic data for the LIBS quantitative analysis, and the methods also provided a reference for other quantitative analysis involving variable selection.
SubtypeArticle
KeywordSpectroscopy Laser Induced Breakdown Spectroscopy Variable Screening Pls Model
WOS HeadingsScience & Technology ; Technology
DOI10.3964/j.issn.1000-0593(2017)08-2585-05
Indexed BySCI
Language英语
WOS Research AreaSpectroscopy
WOS SubjectSpectroscopy
WOS IDWOS:000408520400045
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Document Type期刊论文
Identifierhttp://ir.hfcas.ac.cn:8080/handle/334002/33649
Collection中科院安徽光学精密机械研究所
Affiliation1.Hefei Normal Univ, Sch Elect & Informat Engn, Hefei 230061, Anhui, Peoples R China
2.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei 230031, Anhui, Peoples R China
Recommended Citation
GB/T 7714
Hu Li,Zhao Nan-jing,Li Da-chuang,et al. Study of Variable Selection Method Based on PLS for Quantitatively Measuring Heavy Metal in Water with LIBS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2017,37(8):2585-2589.
APA Hu Li,Zhao Nan-jing,Li Da-chuang,Tang Lei,&Fang Li.(2017).Study of Variable Selection Method Based on PLS for Quantitatively Measuring Heavy Metal in Water with LIBS.SPECTROSCOPY AND SPECTRAL ANALYSIS,37(8),2585-2589.
MLA Hu Li,et al."Study of Variable Selection Method Based on PLS for Quantitatively Measuring Heavy Metal in Water with LIBS".SPECTROSCOPY AND SPECTRAL ANALYSIS 37.8(2017):2585-2589.
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