Abstract
Raman spectrometers will form a key component of the analytical suite of future planetary rovers intended to investigate geological processes on Mars. In order to expand the applicability of these spectrometers and use them as analytical tools for the investigation of silicate glasses, a database correlating Raman spectra to glass composition is crucial. Here we investigate the effect of the chemical composition of reduced silicate glasses on their Raman spectra. A range of compositions was generated in a diffusion experiment between two distinct, iron-rich end-members (a basalt and a peralkaline rhyolite), which are representative of the anticipated compositions of Martian rocks. Our results show that for silica-poor (depolymerized) compositions the band intensity increases dramatically in the regions between 550-780 cm(-1) and 820-980 cm(-1). On the other hand, Raman spectra regions between 250-550 cm(-1) and 1000-1250 cm(-1) are well developed in silica-rich (highly polymerized) systems. Further, spectral intensity increases at similar to 965 cm(-1) related to the high iron content of these glasses (similar to 7-17 wt % of FeOtot). Based on the acquired Raman spectra and an ideal mixing equation between the two end-members we present an empirical parameterization that enables the estimation of the chemical compositions of silicate glasses within this range. The model is validated using external samples for which chemical composition and Raman spectra were characterized independently. Applications of this model range from microanalysis of dry and hydrous silicate glasses (e.g., melt inclusions) to in situ field investigations and studies under extreme conditions such as extraterrestrial (i.e., Mars) and submarine volcanic environments.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Geowissenschaften > Department für Geo- und Umweltwissenschaften |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften, Geologie |
ISSN: | 2169-9097 |
Sprache: | Englisch |
Dokumenten ID: | 48868 |
Datum der Veröffentlichung auf Open Access LMU: | 27. Apr. 2018, 08:16 |
Letzte Änderungen: | 04. Nov. 2020, 13:26 |