Improved Measurement Performance of Inorganic Elements in Coal by Laser-Induced Breakdown Spectroscopy Coupled with Internal Standardization

Laser-induced breakdown spectroscopy was employed to determine the inorganic elements in coal. To improve the measurement's accuracy and precision, a new internal standardization scheme, which we named changed internal standardization, was compared with the traditional internal standardization and no internal standardization for the analysis of inorganic elements. The new internal standardization scheme used the atomic line of carbon at 247.86 nm and the molecular band of CN at 388.34 nm and C2 at 516.32 nm to normalize the lines of inorganic elements that were distributed in the same spectral channel. The performance of the utilization of the new internal standardization scheme was evaluated using a set of coal samples, including twenty calibration samples and five validation samples. The results show that the coefficients of determination R2 and the slope of calibration models coupled with changed internal standardization are better than that of the calibration models coupled with fixed internal standardization and no internal standardization. Moreover, the measurement accuracy and reproducibility of changed internal standardization for the analysis of five validation samples also yielded further improvement. The results that we obtained suggest that changed internal standardization could compensate for the matrix effects, as well as the influence of the difference in the spectral response of the light collection system.

[1]  Michael Gaft,et al.  Laser Induced Breakdown Spectroscopy machine for online ash analyses in coal , 2008 .

[2]  V. Motto-Ros,et al.  Generation and expansion of laser-induced plasma as a spectroscopic emission source , 2012 .

[3]  Michael Gaft,et al.  Laser induced breakdown spectroscopy for bulk minerals online analyses , 2007 .

[4]  Joseph Craparo,et al.  Laser-Induced Breakdown Spectroscopy for Coal Characterization and Assessing Slagging Propensity , 2010 .

[5]  Reinhard Noll,et al.  Investigation of matrix effects in laser-induced breakdown spectroscopy plasmas of high-alloy steel for matrix and minor elements ☆ , 2005 .

[6]  Jun Li,et al.  Extracting Coal Ash Content from Laser-Induced Breakdown Spectroscopy (LIBS) Spectra by Multivariate Analysis , 2011, Applied spectroscopy.

[7]  Lei Zhang,et al.  Laser-Induced Breakdown Spectroscopy for Determination of the Organic Oxygen Content in Anthracite Coal under Atmospheric Conditions , 2008, Applied spectroscopy.

[8]  Weidou Ni,et al.  A non-linearized PLS model based on multivariate dominant factor for laser-induced breakdown spectroscopy measurements , 2011, 1106.1043.

[9]  Jun Li,et al.  Experimental study on the characteristics of molecular emission spectroscopy for the analysis of solid materials containing C and N. , 2011, Optics express.

[10]  D. Cremers,et al.  Matrix Effects in the Detection of Pb and Ba in Soils Using Laser-Induced Breakdown Spectroscopy , 1996 .

[11]  F. J. Fortes,et al.  Laser-induced breakdown spectroscopy. , 2013, Analytical chemistry.

[12]  Timur A. Labutin,et al.  Determination of Ag, Cu, Mo and Pb in soils and ores by laser-induced breakdown spectrometry , 2014 .

[13]  J. Winefordner,et al.  Comparing several atomic spectrometric methods to the super stars: special emphasis on laser induced breakdown spectrometry, LIBS, a future super star , 2004 .

[14]  Jidong Lu,et al.  Analyzing unburned carbon in fly ash using laser-induced breakdown spectroscopy with multivariate calibration method , 2012 .

[15]  Lidiane Cristina Nunes,et al.  Laser-induced breakdown spectroscopy for analysis of plant materials: A review , 2012 .

[16]  Zhe Wang,et al.  Laser-induced breakdown spectroscopy in China , 2013, Frontiers of Physics.

[17]  Fengzhong Dong,et al.  Recent progress on the application of LIBS for metallurgical online analysis in China , 2012 .

[18]  Weidou Ni,et al.  A model combining spectrum standardization and dominant factor based partial least square method for carbon analysis in coal using laser-induced breakdown spectroscopy ☆ , 2014 .

[19]  Lei Zhang,et al.  Recent progress on laser-induced breakdown spectroscopy for the monitoring of coal quality and unburned carbon in fly ash , 2012 .

[20]  M. Kompitsas,et al.  Effects of experimental parameters in quantitative analysis of steel alloy by laser-induced breakdown spectroscopy , 2001 .

[21]  Doug Body,et al.  Development and Commercial Evaluation of Laser-Induced Breakdown Spectroscopy Chemical Analysis Technology in the Coal Power Generation Industry , 2002 .

[22]  S. Musazzi,et al.  Laser-Induced Breakdown Spectroscopy , 2014 .

[23]  Israel Schechter,et al.  Laser-induced breakdown spectroscopy (LIBS) : fundamentals and applications , 2006 .

[24]  B. Bousquet,et al.  Towards quantitative laser-induced breakdown spectroscopy analysis of soil samples ☆ , 2007 .

[25]  O. Musset,et al.  A review of the development of portable laser induced breakdown spectroscopy and its applications , 2014 .

[26]  Weidou Ni,et al.  Application of a Spectrum Standardization Method for Carbon Analysis in Coal Using Laser-Induced Breakdown Spectroscopy (LIBS) , 2014, Applied spectroscopy.

[27]  D. Body,et al.  Optimization of the spectral data processing in a LIBS simultaneous elemental analysis system , 2001 .

[28]  D. Cremers,et al.  Handbook of Laser-Induced Breakdown Spectroscopy: Cremers/Handbook of Laser-induced Breakdown Spectroscopy , 2006 .

[29]  R. Noll,et al.  Laser-induced breakdown spectroscopy—From research to industry, new frontiers for process control , 2008 .

[30]  Lionel Canioni,et al.  Good practices in LIBS analysis: Review and advices , 2014 .

[31]  Weidou Ni,et al.  A multivariate model based on dominant factor for laser-induced breakdown spectroscopy measurements , 2010 .

[32]  W. Ni,et al.  A Nonlinearized Multivariate Dominant Factor–Based Partial Least Squares (PLS) Model for Coal Analysis by Using Laser-Induced Breakdown Spectroscopy , 2013, Applied spectroscopy.