Source provenance of carbonate grains in the Wahiba Sand Sea, Oman, using a new LIBS method

Pease, Patrick; Tchakerian, Vatche P.

doi:10.1016/j.aeolia.2014.06.001

Cited by 17 publications

(7 citation statements)

References 52 publications

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“…Several studies have used laboratory LIBS systems to study carbonate minerals or rocks (e.g., Lazic et al 2004, McMillan et al 2007, Colao et al 2010, Pease and Tchakerian 2014. The first experiment of this study was to compare the discrimination performance of the field-portable SciAps, Inc. Z-500 handheld LIBS analyser with a laboratory LIBS instrument, in this case the Applied Spectra, Inc. RT-100 LIBS system, for a suite of simple carbonate minerals.…”

Section: Carbonate Mineralsmentioning

confidence: 99%

Geochemical Fingerprinting by Handheld Laser‐Induced Breakdown Spectroscopy

Harmon

Hark

Throckmorton

et al. 2017

Geostandard Geoanalytic Res

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A broad suite of geological materials was studied a using a handheld laser‐induced breakdown spectroscopy (LIBS) instrument. Because LIBS is simultaneously sensitive to all elements, the full broadband emission spectrum recorded from a single laser shot provides a ‘chemical fingerprint’ of any material – solid, liquid or gas. The distinguishing chemical characteristics of the samples analysed were identified through principal component analysis (PCA), which demonstrates how this technique for statistical analysis can be used to identify spectral differences between similar sample types based on minor and trace constituents. Partial least squares discriminant analysis (PLSDA) was used to distinguish and classify the materials, with excellent discrimination achieved for all sample types. This study illustrates through four examples (carbonate minerals and rocks, the oxide mineral pair columbite–tantalite, the silicate mineral garnet and native gold) how portable, handheld LIBS analysers can be used for real‐time chemical analysis under simulated field conditions for element or mineral identification, plus such applications as stratigraphic correlation, provenance determination and natural resource exploration.

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Section: Carbonate Mineralsmentioning

confidence: 99%

Geochemical Fingerprinting by Handheld Laser‐Induced Breakdown Spectroscopy

Harmon

Hark

Throckmorton

et al. 2017

Geostandard Geoanalytic Res

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“…Partial least squares–discriminant analysis was extensively developed for security purposes (identification of explosives and chemical or biological warfare agents), as well as neural networks . Soft independent modeling of class analogy was used for the analysis of uranium concentrate and carbonate grains . Now, the comparison of performances of different techniques is a growing topic in LIBS, as shown by recent papers on the subject .…”

Section: Introductionmentioning

confidence: 99%

“…15 Soft independent modeling of class analogy was used for the analysis of uranium concentrate 20 and carbonate grains. 21 Now, the comparison of performances of different techniques is a growing topic in LIBS, as shown by recent papers on the subject. 22,23 In quantitation by LIBS, chemometric methods are used to cope with nonlinearities between the emission signal and the concentration and with matrix effects.…”

mentioning

confidence: 99%

Analysis of time‐resolved laser‐induced breakdown spectra by mean field‐independent components analysis (MFICA) and multivariate curve resolution–alternating least squares (MCR‐ALS)

Rakwe

Rutledge

Moutiers

et al. 2017

Journal of Chemometrics

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Laser‐induced breakdown spectroscopy (LIBS) is an analytical technique allowing the determination of elemental concentrations in a variety of matrices in the solid, liquid, and gaseous phases. Because of the inherent complexity of the signal and to the high dimensionality of experimental data, chemometrics has been more and more applied in LIBS to perform samples identification or quantitative measurements. But multivariate methods can also be used for the description and physical interpretation of the plasma, particularly to exploit the temporal dimension of the LIBS signal, which is usually neglected in spectrochemical measurements. In this work, time‐resolved spectra of a pure aluminum sample were treated with 2 methods, mean field‐independent components analysis and multivariate curve resolution–alternating least squares, applying non‐negativity constraints for scores and components in both cases. Results obtained were compared with reference univariate measurements of the emission of the species of interest (ions, neutral atoms, and molecules). The interpretation of scores and components provided a physical description of phenomena that take place between species in the plasma, like ionic recombination and molecules formation. Overall, mean field‐independent components analysis and multivariate curve resolution–alternating least squares yield equivalent solutions with our dataset. This new approach is very promising for the treatment of time‐resolved data obtained by LIBS.

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“…The LIBS technique has been used to detect subtle differences in rock compositions. In a novel method 410 for analysing individual carbonate grains, sand grains were mounted on a slide with acrylic adhesive, stained and viewed with a high magnication camera. Mounting of 125-150 grains on each slide provided >100 carbonate grains, sufficient to identify groups of carbonate populations.…”

Section: Solid Sample Introductionmentioning

confidence: 99%