2019
DOI: 10.1364/ao.58.009940
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Laser-induced breakdown spectroscopy for rapid accurate analysis of Mg, Ca, and K in edible sea salts

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Cited by 10 publications
(10 citation statements)
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“…In our previous works, the nonlinear function was found to be successful in calibrating the LIBS signal intensities affected by the self-absorption to the analyte concentrations. 21,22,38,39 The coefficients of determination, R 2 , for K, Mg, Ca, and S were obtained to be 0.9978, 0.9998, 0.9838, and 0.9613, respectively.…”
Section: Resultsmentioning
confidence: 95%
See 2 more Smart Citations
“…In our previous works, the nonlinear function was found to be successful in calibrating the LIBS signal intensities affected by the self-absorption to the analyte concentrations. 21,22,38,39 The coefficients of determination, R 2 , for K, Mg, Ca, and S were obtained to be 0.9978, 0.9998, 0.9838, and 0.9613, respectively.…”
Section: Resultsmentioning
confidence: 95%
“…From the previous works, the Na(I) emission peak at 330.26 nm has been found to be successful as a reference signal for the analysis of salts in different matrices. 21,22,26 For analysis of K, the K(I) emission line observed at 769.90 nm was chosen (Figure 3b). This is one of the strongest doublet emissions at 766.490 and 769.896 nm.…”
Section: Resultsmentioning
confidence: 99%
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“…The authors also reported the same protocol to determine Ca, K and Mg in edible sea salt products. 102 A means of direct analysis of salt solutions using LIBS was reported by Lin et al (in Chinese). 103 Sample solutions were continuously pumped through a funnel held above a beaker to produce a thin stream of liquid that served as the point of analysis.…”
Section: Inorganic Chemicals and Materialsmentioning
confidence: 99%
“…Their LIBS spectra look quite similar but show discernible differences in the emission peak intensities of metallic impurity elements such as K, Mg, and Ca. [19][20][21][22][23] Among the six sea salt samples, two most confusing ones were identified and used form the extended class. Then, a two-step PLS-DA analysis was performed to improve the classification accuracy.…”
Section: Introductionmentioning
confidence: 99%