2013
DOI: 10.1039/c3ay40491a
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Regional discrimination of oysters using laser-induced breakdown spectroscopy

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Cited by 13 publications
(12 citation statements)
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References 31 publications
(31 reference statements)
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“…All of these ICP-based analytical techniques facilitate measurement of the molar concentrations of each element incorporated into the mollusc shell carbonate. In contrast, Laser-Induced Breakdown Spectroscopy (LIBS) has been much less frequently used for determinations of mollusc shell elemental concentrations [9][10][11][12]. One of the main advantages of LIBS, compared to ICP-based techniques, is the reduction in the time required to perform spatially-resolved analyses, because LIBS does not require extensive sample preparation [13]; LA-ICP-MS also is considerably more costly and complex instrumentation [14,15].…”
Section: Introductionmentioning
confidence: 99%
“…All of these ICP-based analytical techniques facilitate measurement of the molar concentrations of each element incorporated into the mollusc shell carbonate. In contrast, Laser-Induced Breakdown Spectroscopy (LIBS) has been much less frequently used for determinations of mollusc shell elemental concentrations [9][10][11][12]. One of the main advantages of LIBS, compared to ICP-based techniques, is the reduction in the time required to perform spatially-resolved analyses, because LIBS does not require extensive sample preparation [13]; LA-ICP-MS also is considerably more costly and complex instrumentation [14,15].…”
Section: Introductionmentioning
confidence: 99%
“…PLS-DA is a supervised classification algorithm [ 18 , 21 ]. The input variables were complete spectra and selected spectral lines.…”
Section: Methodsmentioning
confidence: 99%
“…Based on the elemental “fingerprint” and multivariate analysis, LIBS technique was able to discriminate geological materials [ 20 ]. Akpovo et al [ 21 ] used principal components analysis (PCA), discriminant function analysis (DFA), and hierarchical cluster analysis (HCA) to discriminate the geographical origin of oysters. Alvey et al [ 22 ] applied a PLS-DA algorithm for classification of garnet samples based on geochemical fingerprinting via LIBS.…”
Section: Introductionmentioning
confidence: 99%
“…PCA was successfully used to classify 4 widely used plastics (polyethylene terephthalate, high‐density polyethylene, polypropylene, and polystyrene), and the parameters of Mahalanobis distances and spectral residual error were optimized to improve the accuracy of the PCA classification model . Akpovo et al used LIBS to analyze the elemental composition of oysters collected from 2 different coastal estuarine reserves. PCA was applied to a data matrix of identified elemental lines, resulting in intrasite and intersite clustering of the oysters according to their geographical origin, and 91.3% of unselected original grouped cases was correctly classified.…”
Section: Qualitative Analysismentioning
confidence: 99%