2020
DOI: 10.1016/j.gca.2020.01.005
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Far from equilibrium basaltic glass alteration: The influence of Fe redox state and thermal history on element mobilization

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Cited by 5 publications
(5 citation statements)
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“…The authors explain their findings with the different roles of Fe(II) (as network modifier) and Fe(III) (as network former) within silicate glass, where SiO 4 tetrahedra are linked by T-O-Si bonds (T = Al, Fe(III)). During the dissolution of oxidized silicate glass, Fe(III)-O-Si bonds seem to be more vulnerable to protonation, breakage and the subsequent formation of non-bridging Si-OH bonds, when compared to Al-O-Si bonds [40]. The high contents of Al 2 O 3 and Fe 2 O 3 and structural similarity of vitreous stone wool with basaltic silicate glass, may suggest similar mechanisms for the test materials of this study.…”
Section: Discussionmentioning
confidence: 60%
See 1 more Smart Citation
“…The authors explain their findings with the different roles of Fe(II) (as network modifier) and Fe(III) (as network former) within silicate glass, where SiO 4 tetrahedra are linked by T-O-Si bonds (T = Al, Fe(III)). During the dissolution of oxidized silicate glass, Fe(III)-O-Si bonds seem to be more vulnerable to protonation, breakage and the subsequent formation of non-bridging Si-OH bonds, when compared to Al-O-Si bonds [40]. The high contents of Al 2 O 3 and Fe 2 O 3 and structural similarity of vitreous stone wool with basaltic silicate glass, may suggest similar mechanisms for the test materials of this study.…”
Section: Discussionmentioning
confidence: 60%
“…Additionally, the heat treatment, which was used to remove the organic constituents (binder and mineral oil) from the fibrous (#1) and one of the milled samples (#2), may also lead to alterations in the elution behavior by oxidizing Fe(II) to Fe(III) within the stone wool. Stranghoener et al [40] have reported differences in the release of metals from vitreous basaltic silicate glass, depending on the thermal history of the glasses and Fe redox state within the material. The authors explain their findings with the different roles of Fe(II) (as network modifier) and Fe(III) (as network former) within silicate glass, where SiO 4 tetrahedra are linked by T-O-Si bonds (T = Al, Fe(III)).…”
Section: Discussionmentioning
confidence: 99%
“…Both composition and Fe redox ratios can influence the release of elements into solution 57,58 . The normalized fraction of NBOs (NBO/ T , Table 4) assumes that Fe oxidation state influences the degree of network connectivity, which in turn might correlate with the chemical durability (NBO/ T is a function of both Fe oxidation state and composition).…”
Section: Discussionmentioning
confidence: 99%
“…Both composition and Fe redox ratios can influence the release of elements into solution. 57,58 The normalized fraction of NBOs (NBO/T, Table 4) assumes that Fe oxidation state influences the degree of network connectivity, which in turn might correlate with the chemical durability (NBO/T is a function of both Fe oxidation state and composition). In this study, it was found that the three synthetic glasses have chemical durability values within experimental uncertainty of one another (±20% at 1σ, see Figure 10).…”
Section: Influence Of Non-bridging Oxygens On Chemical Durabilitymentioning
confidence: 99%
“…7–13 Despite this, the papers 1–3 attempted to find differences in the in vitro acellular behaviour of fibres with and without binder, using binder removal techniques that modify fibre chemistry, 14,15 wettability and thus likely solubility. 16,17 The paper 1 explored the distribution of binder (presumably phenol-urea-formaldehyde, PUF) on stone wool fibres and tried to find a correlation between dissolution rate of stone wool measured in a simulated lung fluid (phagolysosomal simulant fluid, PSF) and the amount and thickness of organic material on the fibre surface. The article 1 reports the use of surface sensitive techniques, such as X-ray photoelectron spectroscopy (XPS), time-of-flight secondary ion mass spectroscopy (ToF-SIMS) mapping and modelled XPS data with QUASES software.…”
Section: Introductionmentioning
confidence: 99%