Development of an Automated LIBS Analytical Test System Integrated with Component Control and Spectrum Analysis Capabilities

The present paper proposes an automated Laser-Induced Breakdown Spectroscopy (LIBS) analytical test system, which consists of a LIBS measurement and control platform based on a modular design concept, and a LIBS qualitative spectrum analysis software and is developed in C#. The platform provides flexible interfacing and automated control; it is compatible with different manufacturer component models and is constructed in modularized form for easy expandability. During peak identification, a more robust peak identification method with improved stability in peak identification has been achieved by applying additional smoothing on the slope obtained by calculation before peak identification. For the purpose of element identification, an improved main lines analysis method, which detects all elements on the spectral peak to avoid omission of certain elements without strong spectral lines, is applied to element identification in the tested LIBS samples. This method also increases the identification speed. In this paper, actual applications have been carried out. According to tests, the analytical test system is compatible with components of various models made by different manufacturers. It can automatically control components to get experimental data and conduct filtering, peak identification and qualitative analysis, etc. on spectral data.

[1]  Lubomír Prokeš,et al.  Fast identification of biominerals by means of stand-off laser‐induced breakdown spectroscopy using linear discriminant analysis and artificial neural networks , 2012 .

[2]  Leon J. Radziemski,et al.  A brief history of laser-induced breakdown spectroscopy: From the concept of atoms to LIBS 2012 , 2013 .

[3]  D. H. Dieke Session 15. Intensities and Transition Probabilities , 1962 .

[4]  Stefano Legnaioli,et al.  One-point calibration for calibration-free laser-induced breakdown spectroscopy quantitative analysis , 2013 .

[5]  M. Harith,et al.  Qualitative evaluation of maternal milk and commercial infant formulas via LIBS. , 2013, Talanta.

[6]  Zhou Weidong,et al.  Simultaneous Determination of Trace Lead and Chromium in Water Using Laser-Induced Breakdown Spectroscopy and Paper Substrate , 2014 .

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

[8]  Z. Alahmed,et al.  Qualitative Analysis and Plasma Characteristics of Soil from a Desert Area using LIBS Technique , 2013 .

[9]  Yang Li,et al.  Reducing Quantitative Fluctuation of Laser-Induced Breakdown Spectroscopy by Kalman Filtering , 2013 .

[10]  Jiuqiang Han,et al.  A real-time hyper-accuracy integrative approach to peak identification using lifting-based wavelet and Gaussian model for field mobile mass spectrometer , 2013 .

[11]  Weidou Ni,et al.  Major elements analysis in bituminous coals under different ambient gases by laser-induced breakdown spectroscopy with PLS modeling , 2012 .

[12]  Jihyun Kwak,et al.  Rapid detection of soils contaminated with heavy metals and oils by laser induced breakdown spectroscopy (LIBS). , 2013, Journal of hazardous materials.

[13]  Richard R. Hark,et al.  Geographical analysis of “conflict minerals” utilizing laser-induced breakdown spectroscopy , 2012 .

[14]  Vivek K. Singh,et al.  Assessment of LIBS for Spectrochemical Analysis: A Review , 2012 .

[15]  Lionel Canioni,et al.  Artificial neural network for on-site quantitative analysis of soils using laser induced breakdown spectroscopy , 2013 .

[16]  L. Radziemski From LASER to LIBS, the path of technology development , 2002 .

[17]  M. Chaker,et al.  Quantitative analysis of metallic traces in water-based liquids by UV-IR double-pulse laser-induced breakdown spectroscopy , 2012 .

[18]  Yan-Fang Sang,et al.  Period identification in hydrologic time series using empirical mode decomposition and maximum entropy spectral analysis , 2012 .

[19]  Jian Lu,et al.  Laser-induced breakdown spectroscopy for determination of trace metals in aqueous solution using bamboo charcoal as a solid-phase extraction adsorbent , 2012 .

[20]  K. M. Abedin,et al.  Identification of multiple rare earths and associated elements in raw monazite sands by laser-induced breakdown spectroscopy , 2011 .

[21]  C. Dong 董,et al.  LIBS Detection of Heavy Metal Elements in Liquid Solutions by Using Wood Pellet as Sample Matrix , 2014 .