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Comparative analysis of quantitative method on heavy metal detection in water with laser-induced breakdown spectroscopy

Wang Chun-Long Liu Jian-Guo Zhao Nan-Jing Ma Ming-Jun Wang Yin Hu Li Zhang Da-Hai Yu Yang Meng De-Shuo Zhang Wei Liu Jing Zhang Yu-Jun Liu Wen-Qing

Comparative analysis of quantitative method on heavy metal detection in water with laser-induced breakdown spectroscopy

Wang Chun-Long, Liu Jian-Guo, Zhao Nan-Jing, Ma Ming-Jun, Wang Yin, Hu Li, Zhang Da-Hai, Yu Yang, Meng De-Shuo, Zhang Wei, Liu Jing, Zhang Yu-Jun, Liu Wen-Qing
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  • Received Date:  01 November 2012
  • Accepted Date:  06 January 2013
  • Published Online:  05 June 2013

Comparative analysis of quantitative method on heavy metal detection in water with laser-induced breakdown spectroscopy

  • 1. Key Laboratory of Environment Optics and Technology, Institute of Anhui Optics Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
Fund Project:  Project supported by the National Natural Science Foundation of China (Grant No. 60908018) and the Major Project of the Ministry of Science and Technology of China (Grant Nos. 2009ZX07527-007, 2009ZX07420-008, 2011ZX05051).

Abstract: The quantitative analysis models of multiple linear regression, neural network regression and support vector machine regression with laser-induced breakdown spectroscopy are established in this paper. Heavy metal Ni in water selected as research object is tested and comparativly analyzed. The average relative standard deviations of multiple linear regression, neural network regression and support vector machine regression are 7.60%, 4.86% and 2.35%, and the maximum standard deviations are 23.35%, 15.20% and 8.29% respectively, the average relative errors are 25.98%, 10.58% and 2.72%, and the maximum relative errors are 116.47%, 47.38% and 9.89% respectively. Methods and reference data are provided for the further study of fast measurement of tracing heavy metals in water by laser induced breakdown spectroscopy technique.

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