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  5. Effect of iron and nanolites on Raman spectra of volcanic glasses: A reassessment of existing strategies to estimate the water content
 
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Effect of iron and nanolites on Raman spectra of volcanic glasses: A reassessment of existing strategies to estimate the water content

Author(s)
Di Genova, Danilo  
School of Earth Sciences, University of Bristol, Wills Memorial Building, Queens Road, BS8 1RJ Bristol, UK  
Sicola, Stefania  
Dipartimento di Scienze, Università degli Studi Roma Tre, L.go San Leonardo Murialdo 1, 00146 Rome, Italy  
Romano, Claudia  
Dipartimento di Scienze, Università degli Studi Roma Tre, L.go San Leonardo Murialdo 1, 00146 Rome, Italy  
Vona, Alessandro  
Dipartimento di Scienze, Università degli Studi Roma Tre, L.go San Leonardo Murialdo 1, 00146 Rome, Italy  
Fanara, Sara  
Institut für Mineralogie, GZG, Universität Göttingen, Goldschmidtstr. 1, Göttingen, Germany  
Spina, Laura  
Università di Perugia, Dipartimento di Fisica e Geologia  
Language
English
Obiettivo Specifico
3V. Proprietà chimico-fisiche dei magmi e dei prodotti vulcanici
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Chemical Geology  
Issue/vol(year)
/475 (2017)
Pages (printed)
76-86
Date Issued
2017
DOI
10.1016/j.chemgeo.2017.10.035
Alternative Location
https://www.sciencedirect.com/science/article/pii/S0009254117306083
URI
https://www.earth-prints.org/handle/2122/13144
Abstract
The effect of iron content and iron nanolites on Raman spectra of hydrous geologically-relevant glasses is presented. Current procedures to estimate the water content using Raman spectra were tested to explore potential effects of iron content, its oxidation state, and nanolites on models' reliability. A chemical interval spanning from basalt to rhyolite, including alkali- and iron-rich compositions, with water content up to 5.6 wt% was investigated using two spectrometers. When considering nanolite-free samples, the area of the band at 3550 cm−1 linearly correlates with the sample water content regardless of chemical composition. Using this approach, data were reproduced with a root-mean-square error (RMSE) of ~ 0.15 wt%. Depending on the sample chemistry, water content, and acquisition conditions the laser-induced sample oxidation led to underestimating the water content up to ~ 90% with a long acquisition time (26 min). Normalising the water band region to the silicate band region minimises such a limitation. The area ratio between these bands linearly correlates with the water content and the use of different baseline procedures does not remove the dependence of such a correlation by the iron content and its oxidation state. With this procedure, data were reproduced with a RMSE of ~ 0.16 wt%. For both approaches, the presence of iron nanolites may result in underestimating the water content.
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