IR calibrations for water determination in olivine, r-GeO2, and SiO2 polymorphs

Mineral-specific IR absorption coefficients were calculated for natural and synthetic olivine, SiO 2 polymorphs, and GeO 2 with specific isolated OH point defects using quantitative data from independent techniques such as proton–proton scattering, confocal Raman spectroscopy, and secondary ion mass...

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Bibliographic Details
Published in:Physics and chemistry of minerals 2009-10, Vol.36 (9), p.489-509
Main Authors: Thomas, Sylvia-Monique, Koch-Müller, Monika, Reichart, Patrick, Rhede, Dieter, Thomas, Rainer, Wirth, Richard, Matsyuk, Stanislav
Format: Article
Language:English
Subjects:
Absorptivity
Coesite
Crystallography and Scattering Methods
Deep water
Earth and Environmental Science
Earth Sciences
Geochemistry
Germanium oxides
Hydrologic cycle
Mass spectrometry
Mineral Resources
Mineralogy
Minerals
Olivine
Original Paper
Point defects
Proton scattering
Raman spectroscopy
Secondary ion mass spectrometry
Silicon dioxide
Spectroscopy
Stishovite
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Summary:Mineral-specific IR absorption coefficients were calculated for natural and synthetic olivine, SiO 2 polymorphs, and GeO 2 with specific isolated OH point defects using quantitative data from independent techniques such as proton–proton scattering, confocal Raman spectroscopy, and secondary ion mass spectrometry. Moreover, we present a routine to detect OH traces in anisotropic minerals using Raman spectroscopy combined with the “Comparator Technique”. In case of olivine and the SiO 2 system, it turns out that the magnitude of ε for one structure is independent of the type of OH point defect and therewith the peak position (quartz ε = 89,000 ± 15,000  ), but it varies as a function of structure (coesite ε = 214,000 ± 14,000  ; stishovite ε = 485,000 ± 109,000  ). Evaluation of data from this study confirms that not using mineral-specific IR calibrations for the OH quantification in nominally anhydrous minerals leads to inaccurate estimations of OH concentrations, which constitute the basis for modeling the Earth’s deep water cycle.
ISSN:0342-1791
1432-2021
DOI:10.1007/s00269-009-0295-1