Chemical analysis of industrial scale deposits by combined use of correlation coefficients with emission line detection of laser induced breakdown spectroscopy spectra |
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| Institution: | 1. Institute of Electronic Structure and Laser, Foundation for Research and Technology — Hellas, P.O. Box 1385, 711 10 Heraklion, Greece;2. Corpex Solutions, 34 A. Diakou St., 146 71 N. Erythrea, Athens, Greece;3. Department of Chemistry, University of Crete, P.O. Box 2208, 710 03 Heraklion, Greece;1. College of Physics and Material Science, Henan Normal University, Xinxiang 453007, China;2. College of Physics and Electronic Engineering, Xinyang Normal University, Xinyang 464000, China;1. Department of Chemistry, Clemson University, Clemson, SC 29634, United States;2. Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States;3. Fuel Chemistry Division, Bhabha Atomic Research Centre, Mumbai 400085, India;1. State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, No.92, Weijin Road, Tianjin 300072, China;2. Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Science, Beijing 100094, China |
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| Abstract: | Laser-induced breakdown spectroscopy (LIBS) was used to determine the mineral composition of various industrial scale samples. The aim of the study has been to investigate the capacity of LIBS to provide a fast, reliable analytical tool for carrying out routine analysis of inorganic scales, potentially on site, as a means to facilitate decision making concerning scale removal procedures. LIBS spectra collected in the range of 200–660 nm conveyed information about the metal content of the minerals. Via a straightforward analysis based on linear correlation of LIBS spectra it was possible to successfully discriminate scale samples into three main groups, Fe-rich, Ca-rich and Ba-rich, on the basis of correlation coefficients. By combining correlation coefficients with spectral data collected in the NIR, 860–960 nm, where sulfur emissions are detected, it became further possible to discriminate sulfates from carbonates as confirmed by independent analysis based on Raman spectroscopy. It is emphasized that the proposed LIBS-based method successfully identifies the major mineral or minerals present in the samples classifying the scales into relevant groups hence enabling process engineers to select appropriate scale dissolution strategies. |
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