TEM and FESEM characterization of asbestiform and non-asbestiform actinolite fibers in hydrothermally altered dolerites (France)

Lahondère, Didier; Cagnard, Florence; Duron, Jéromine; Misseri, M.

doi:10.1007/s12665-018-7549-5

Cited by 9 publications

(2 citation statements)

References 38 publications

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“…The mineral mapping is mainly divided into three parts: (1) endmember selection, (2) mineral identification and mapping, and (3) mineral distribution map production. Endmember selection is divided into two parts: feature extraction and endmember spectral selection [40,41]. The feature extraction uses the minimum noise separation transform (MNF transform) method, and the endmember spectrum is selected using the pure pixel index calculation (PPI).…”

Section: Mtmf Algorithmmentioning

confidence: 99%

Research on Hyperspectral Identification of Altered Minerals in Yemaquan West Gold Field, Xinjiang

Pan

Liu

et al. 2019

Sustainability

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Predictions of prospectivity based on remote sensing were developed using alteration mineral indicative hyperspectral mapping and remote sensing anomaly filtering, combined with geological characteristics and anomalous mineral field verification. Based on the results of the hyperspectral mineral mapping and the actual geological ground conditions, the results of mapping of altered minerals, such as chlorite, muscovite, kaolinite, and iron oxide were validated, and gold, silver, copper, nickel, and other geochemical anomaly areas were identified for verification work. The results of hyperspectral mineral extraction show that the mineral assemblage closely related to gold deposits in shear zones is muscovite + chlorite + epidote + kaolinite. This alteration mineral assemblage can be used as regional search criteria for shear zone gold mineralisation and was the basis for the discovery of mineralised hydrothermal alteration centres and delineation of four prospective targets. Established on a spectral prospectivity model of the study area, prospective ore-bearing areas have been delineated, which indicate the direction for further geological and mineral resource surveys.

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Section: Mtmf Algorithmmentioning

confidence: 99%

Research on Hyperspectral Identification of Altered Minerals in Yemaquan West Gold Field, Xinjiang

Pan

Liu

et al. 2019

Sustainability

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“…In the natural environment, a large set of metamorphic rocks may contain asbestos fibers, such as meta-ophiolitic rocks of basic or ultrabasic compositions (meta-gabbros, meta-basalts, serpentinites) (e.g. [4][5][6]) and hydrothermally altered dolerites ( [7]), more rarely in talc deposits ( [8]), metamorphosed dolostones and iron formations ( [9]) and subalkaline plutonic rocks ( [10]). Asbestos is listed as a Category 1 human carcinogen, because inhalation of asbestos fibers causes respiratory diseases, in particular asbestosis, lung cancers, and malignant mesothelioma (e.g.…”

Section: Introductionmentioning

confidence: 99%

Coupling SEM-EDS and confocal Raman-in-SEM imaging: A new method for identification and 3D morphology of asbestos-like fibers in a mineral matrix

Lahondère¹,

Schmidt²,

Duron³

et al. 2019

Journal of Hazardous Materials

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Asbestos consists in natural minerals crystallized in a specific habit and possessing in particular properties. In the case of Naturally Occurring Asbestos, usual methods applied to the identification of mineral fibers and the determination of their possible asbestiform nature seems not efficient, especially in the case of mineral fibers included in mineral matrix.We present a new in-situ method based on the use of confocal Raman-in-SEM imaging implemented in a Scanning Electron Microscope as an efficient method for in-situ mineralogy. The limitation of conventional methods is discussed. We applied 2D-Raman imaging to the identification of sub-micrometric fibers included in different mineral matrix. We were able to identify actinolite fibers down to 400 nm in diameter, included in feldspar, quartz and/or calcite matrix. HighlightsNew methods are requested for characterizing asbestos fibers in a mineral matrix SEM-Raman imaging is efficient for characterizing mineral fibers in-situ Confocal Raman imaging makes 3D analysis possible 3D analysis provides information on the aspect ratio and volume fraction of asbestos Fibers thinner than 400nm can be identified by confocal Raman in SEM ( = 532 nm) Keywords in-situ asbestos diagnosis; Raman-in-SEM imaging; naturally occurring asbestos; 3D analysis; fibrous amphiboles;

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Verfügbare Analytikmethoden und ‐geräte

2023

Charakterisierung Von Holz‐ Und Naturfasern

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TEM and FESEM characterization of asbestiform and non-asbestiform actinolite fibers in hydrothermally altered dolerites (France)

Cited by 9 publications

References 38 publications

Research on Hyperspectral Identification of Altered Minerals in Yemaquan West Gold Field, Xinjiang

Research on Hyperspectral Identification of Altered Minerals in Yemaquan West Gold Field, Xinjiang

Coupling SEM-EDS and confocal Raman-in-SEM imaging: A new method for identification and 3D morphology of asbestos-like fibers in a mineral matrix

Verfügbare Analytikmethoden und ‐geräte

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