Abstract
The major and minor element chemistry of silicate glass is commonly measured using electron probe micro-analysis (EPMA). The volatile content (H2O ± CO2) can, additionally, be quantified using “volatiles by difference” (VBD), but a review of literature data shows that this method consistently overestimates the volatile content. We propose that sub-surface charging during EPMA reduces analytical totals, consequently elevating VBD. Sub-surface charging produces an internal electric field due to trapped implanted electrons, resulting in fewer X-rays being generated and their depth of generation being shallower. The maximum electric field strength required to produce the observed overestimation of VBD is calculated to be ~10−1 V·nm−1. Crystals are often used as standards for glass analysis but, as amorphous materials have more defects in the band gap, glasses can trap more electrons resulting in greater amounts of sub-surface charging. As this is not included in matrix corrections, it causes errors for glass analyses, but not for crystal analyses. By calibrating VBD using hydrous glass standards, the effect of charging can be incorporated, and volatile contents can be determined to an accuracy of ±0.1 wt%, compared to overestimation by ~1 wt% using conventional VBD methods.
| Original language | English |
|---|---|
| Pages (from-to) | 48-56 |
| Number of pages | 9 |
| Journal | Chemical Geology |
| Volume | 505 |
| Early online date | 7 Dec 2018 |
| DOIs | |
| Publication status | Published - 5 Feb 2019 |
Keywords
- Electron probe micro-analysis (EPMA)
- Monte Carlo
- Silicate glass
- Sub-surface charging
- Volatiles by difference (VBD)
- Water
Fingerprint
Dive into the research topics of 'Low analytical totals in EPMA of hydrous silicate glass due to sub-surface charging: Obtaining accurate volatiles by difference'. Together they form a unique fingerprint.Datasets
-
Data for: Low analytical totals in EPMA of hydrous silicate glass due to sub-surface charging: Obtaining accurate volatiles by difference
Hughes, E. (Contributor), Buse, B. (Contributor), Kearns, S. (Contributor), Blundy, J. (Contributor), Kilgour, G. (Contributor) & Mader, H. (Contributor), Mendeley Data, 2018
DOI: 10.17632/p55nh8f2ny.1, https://data.mendeley.com/datasets/p55nh8f2ny
Dataset