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Revealing discriminating power of the elements in edible sea salts: Line-intensity correlation analysis from laser-induced plasma emission spectra

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Abstract
We have investigated the discriminating power of the elements in edible sea salts using Laser-Induced Breakdown Spectroscopy (LIBS). For the ten different sea salts from South Korea, China, Japan, France, Mexico and New Zealand, LIBS spectra were recorded in the spectral range between 190 and 1040 nm, identifying the presence of Na, Cl, K, Ca, Mg, Li, Sr, Al, Si, Ti, Fe, C, O, N, and H. Intensity correlation analysis of the observed emission lines provided a valuable insight into the discriminating power of the different elements in the sea salts. The correlation analysis suggests that the elements with independent discrimination power can be categorized into three groups; those that represent dissolved ions in seawater (K, Li, and Mg), those that are associated with calcified particles (Ca and Sr), and those that are present in soils contained in the sea salts (Al, Si, Ti, and Fe). Classification models using a few emission lines selected based on the results from intensity correlation analysis and full broadband LIBS spectra were developed based on Principal Component Analysis (PCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) and their performances were compared. Our results indicate that effective combination of a few emission lines can provide a dependable model for discriminating the edible sea salts and the performance is not much degraded from that based on the full broadband spectra. This can be rationalized by the intensity correlation results. (C) 2014 Elsevier B.V. All rights reserved.
Author(s)
Lee, YonghoonHam, Kyung-SikHan, Song-HeeYoo, JonghyunJeong, Sungho
Issued Date
2014-11
Type
Article
DOI
10.1016/j.sab.2014.07.012
URI
https://scholar.gist.ac.kr/handle/local/14960
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Citation
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, v.101, pp.57 - 67
ISSN
0584-8547
Appears in Collections:
Department of Mechanical and Robotics Engineering > 1. Journal Articles
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