Di Genova Danilo, Morgavi Daniele, Hess Kai-Uwe, Neuville Daniel R, Borovkov Nikita, Perugini Diego, Dingwell Donald B
Department of Earth and Environmental Sciences Ludwig-Maximilians-Universität (LMU) Theresienstrasse 41/III 80333 München Germany.
Department of Earth and Environmental Sciences Ludwig-Maximilians-Universität (LMU) Theresienstrasse 41/III80333 München Germany; Department of Earth Sciences University of Perugia Piazza Università 06100 Perugia Italy.
J Raman Spectrosc. 2015 Dec;46(12):1235-1244. doi: 10.1002/jrs.4751. Epub 2015 Jul 8.
The effect of chemical composition on the Raman spectra of a series of natural calcalkaline silicate glasses has been quantified by performing electron microprobe analyses and obtaining Raman spectra on glassy filaments (~450 µm) derived from a magma mingling experiment. The results provide a robust compositionally-dependent database for the Raman spectra of natural silicate glasses along the calcalkaline series. An empirical model based on both the acquired Raman spectra and an ideal mixing equation between calcalkaline basaltic and rhyolitic end-members is constructed enabling the estimation of the chemical composition and degree of polymerization of silicate glasses using Raman spectra. The model is relatively insensitive to acquisition conditions and has been validated using the MPI-DING geochemical standard glasses1 as well as further samples. The methods and model developed here offer several advantages compared with other analytical and spectroscopic methods such as infrared spectroscopy, X-ray fluorescence spectroscopy, electron and ion microprobe analyses, inasmuch as Raman spectroscopy can be performed with a high spatial resolution (1 µm) without the need for any sample preparation as a nondestructive technique. This study represents an advance in efforts to provide the first database of Raman spectra for natural silicate glasses and yields a new approach for the treatment of Raman spectra, which allows us to extract approximate information about the chemical composition of natural silicate glasses using Raman spectroscopy. We anticipate its application in handheld terrestrial field studies of silicate glasses under extreme conditions (e.g. extraterrestrial and submarine environments).
通过进行电子微探针分析并获取源自岩浆混合实验的玻璃细丝(约450微米)的拉曼光谱,对一系列天然钙碱性硅酸盐玻璃的化学成分对拉曼光谱的影响进行了量化。研究结果为钙碱性系列天然硅酸盐玻璃的拉曼光谱提供了一个可靠的成分依赖数据库。基于所获得的拉曼光谱以及钙碱性玄武岩和流纹岩端元之间的理想混合方程构建了一个经验模型,该模型能够利用拉曼光谱估算硅酸盐玻璃的化学成分和聚合度。该模型对采集条件相对不敏感,并已使用MPI - DING地球化学标准玻璃以及更多样品进行了验证。与其他分析和光谱方法(如红外光谱、X射线荧光光谱、电子和离子微探针分析)相比,本文开发的方法和模型具有几个优点,因为拉曼光谱可以在高空间分辨率(1微米)下进行,无需任何样品制备,是一种无损技术。这项研究代表了在为天然硅酸盐玻璃提供首个拉曼光谱数据库方面的进展,并产生了一种处理拉曼光谱的新方法,该方法使我们能够利用拉曼光谱提取有关天然硅酸盐玻璃化学成分的近似信息。我们预计它将应用于极端条件下(如外星和海底环境)硅酸盐玻璃的手持式地面现场研究。