期刊文献+

Major elements analysis in bituminous coals under different ambient gases by laser-induced breakdown spectroscopy with PLS modeling 被引量:12

Major elements analysis in bituminous coals under different ambient gases by laser-induced breakdown spectroscopy with PLS modeling
原文传递
导出
摘要 Three major elements, carbon, hydrogen, and nitrogen, in twenty-four bituminous coal samples, were measured by laser-induced breakdown spectroscopy. Argon and helium were applied as ambient gas to enhance the signals and eliminate the interference of nitrogen from surrounding air. The relative standard deviation of the related emission lines and the performance in the partial least squares (PLS) modeling were compared for different ambient environments. The results showed that argon not only improved the intensity, but also reduced signal fluctuation. The PLS model also had the optimal performance in multi-element analysis using argon as ambient gas. The root mean square error of prediction of carbon concentration decreased from 4.25% in air to 3.49% in argon, while the average relative error reduced from 4.96% to 2.98%. Hydrogen line demonstrated similar improvement. Yet, the nitrogen lines were too weak to be detected even in an argon environment which suggested the nitrogen signal measured in air come from the breakdown of nitrogen molecules in the atmosphere. Three major elements, carbon, hydrogen, and nitrogen, in twenty-four bituminous coal samples, were measured by laser-induced breakdown spectroscopy. Argon and helium were applied as ambient gas to enhance the signals and eliminate the interference of nitrogen from surrounding air. The relative standard deviation of the related emission lines and the performance in the partial least squares (PLS) modeling were compared for different ambient environments. The results showed that argon not only improved the intensity, but also reduced signal fluctuation. The PLS model also had the optimal performance in multi-element analysis using argon as ambient gas. The root mean square error of prediction of carbon concentration decreased from 4.25% in air to 3.49% in argon, while the average relative error reduced from 4.96% to 2.98%. Hydrogen line demonstrated similar improvement. Yet, the nitrogen lines were too weak to be detected even in an argon environment which suggested the nitrogen signal measured in air come from the breakdown of nitrogen molecules in the atmosphere.
出处 《Frontiers of physics》 SCIE CSCD 2012年第6期708-713,共6页 物理学前沿(英文版)
基金 Acknowledgements The authors are grateful for the financial support from the National Natural Science Foundation of China (Grant No. 51061130536).
关键词 laser-induced breakdown spectroscopy (LIBS) ambient gas bituminous coal partial least squares (PLS) relative standard deviations (RSD) laser-induced breakdown spectroscopy (LIBS), ambient gas, bituminous coal, partial least squares (PLS), relative standard deviations (RSD)
  • 相关文献

参考文献27

  • 1M. Caft, 1. Sapir-Sofer, H. Modiano, and R. Stana, Spec- trochim. Acta B, 2007, 62(12): 1496.
  • 2T. Ctvrtnickova, M. P. Mateo, A. Yanez, and G. Nicolas, Appl. Surf. Sci., 2011, 257(12): 5447.
  • 3T. Ctvrtnickova, M. P. Mateo, A. Yanez, and G. Nicolas, Spectrochim. Acta B, 2009, 64(10): 1093.
  • 4T. Ctvrtnickova, M. P. Mateo, A. Yanez, and G. Nicolas, Spectrochim. Acta B, 2010, 65(8): 734.
  • 5M. Gaft, E. Dvir, H. Modiano, and U. Schone, Spectrochim. Acta B, 2008, 63(10): 1177.
  • 6J. Feng, Z. Wang, L. West, Z. Li, and W. D. Ni, Anal. Bioanal. Chern., 2011, 400(10): 3261.
  • 7T. Yuan, Z. Wang, L. Li, Z. Hou, Z. Li, and W. D. Ni, Appl, Opt., 2012, 51(7): B22.
  • 8A. Bogaerts, Z. Y. Chen, and D. Bleiner, J. Anal. At. Spectrom., 2006, 21(4): 384.
  • 9Z. Y. Chen, D. Bleiner, and A. Bogaerts, J. Appl. Phys., 2006, 99(6): 063304.
  • 10Effenberger and J. R. Scott, Anal. Bioanal. Chern., 2011, 400(10): 3217.

同被引文献79

引证文献12

二级引证文献56

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部