2002
DOI: 10.1002/xrs.555
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Combining XRF analysis and chemometric tools for a preliminary classification of argentine soils

Abstract: A procedure for the non-destructive elemental analysis of soils using wavelength-dispersive x-ray fluorescence spectrometry (WDXRF) is proposed. The determination of minor and trace elements is considered. It does not require any sophisticated treatment of the sample. The method was validated using certified soil standard reference materials, obtaining satisfactory agreement between the WDXRF results and the certified values. The multielemental information provided by the proposed method was used to model a cl… Show more

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Cited by 14 publications
(11 citation statements)
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“…The greatest potential of chemometrics as applied to X‐ray fluorescence spectrometry has been demonstrated in the field of multivariate calibration, property prediction, pattern recognition and discrimination . The increased analytical capability that results from incorporating chemometrics in XRF analysis has been reported in sucrose conversion monitoring, classification of soils, characterization of honey, classification of archeological pottery, characterization of Portland cement, classification of paint and taxonomic studies . Other examples include classification of synthetic and natural polymers using total reflection XRF in combination of principal component analysis (PCA) and cluster analysis .…”
Section: Introductionmentioning
confidence: 99%
“…The greatest potential of chemometrics as applied to X‐ray fluorescence spectrometry has been demonstrated in the field of multivariate calibration, property prediction, pattern recognition and discrimination . The increased analytical capability that results from incorporating chemometrics in XRF analysis has been reported in sucrose conversion monitoring, classification of soils, characterization of honey, classification of archeological pottery, characterization of Portland cement, classification of paint and taxonomic studies . Other examples include classification of synthetic and natural polymers using total reflection XRF in combination of principal component analysis (PCA) and cluster analysis .…”
Section: Introductionmentioning
confidence: 99%
“…105 Other examples include the classification of soil and aerosol particles. 106,107 X-ray spectrometry and pattern recognition can also be applied to forensic analysis and military aims. One such example is the identification of glass fragments collected at crime scenes.…”
Section: Applications Of Pattern Recognition Approaches To Xrsmentioning
confidence: 99%
“…According to Luo, although chemometrics is widely applied in optical spectroscopic analysis, relatively little attention has been paid to its use in X‐ray spectroscopy . However, some typical XRF‐chemometric classification studies include the analysis and identification of Argentinian soils by Custo et al who employed wavelength‐dispersive XRF (WDXRF) and principal components analysis (PCA) of elemental concentrations, and the characterization of Portland cements using energy dispersive XRF data and partial least‐squares analysis as reported by Goraieb et al …”
Section: Introductionmentioning
confidence: 99%
“…According to Luo, although chemometrics is widely applied in optical spectroscopic analysis, relatively little attention has been paid to its use in X-ray spectroscopy. [16] However, some typical XRF-chemometric classification studies include the analysis and identification of Argentinian soils by Custo et al [17] who employed wavelength-dispersive XRF (WDXRF) and principal components analysis (PCA) of elemental concentrations, and the characterization of Portland cements using energy dispersive XRF data and partial least-squares analysis as reported by Goraieb et al [18] In this paper, WDXRF is employed to determine the elemental composition of traditional-style and mineral cosmetic foundation powders, obtained from different manufacturers, which are readily available to the general public. The data obtained is subsequently analysed by a range of chemometric techniques, including cluster analysis and PCA to distinguish and identify the type and manufacturer of the product.…”
Section: Introductionmentioning
confidence: 99%