Distribution of oxides on iron materials used for remediation of organic groundwater contaminants Implications for hydrogen evolution reactions
Bibliographic record
Abstract
The distribution of oxides on commercial iron materials used for remediation of organic groundwater contaminants was studied using confocal Raman microspectroscopy. Raman microprobe mapping experiments revealed that commercial iron materials used for the construction of permeable reactive barriers are covered with an oxide film consisting of an inner film of magnetite Fe 3 O 4 and an outer film of Fe 2 O 3 . The calculated probability of the charge transfer process (i.e., electron tunnelling probability) at commercial Fe | Fe 2 O 3 (semiconductor) | solution interfaces approaches zero, indicating that "as received" commercial iron materials should not be reactive towards both organic contaminants and water. The combination of OCP (corrosion potential) time measurements with in situ Raman spectroscopy demonstrated that the breakdown of the protective Fe 2 O 3 oxide film followed by autoreduction of Fe 2 O 3 is a requirement for the commercial materials to be chemically active towards both water and organic contaminants. Hydrogen evolution reactions on metals and oxide-covered iron were also investigated. In particular, spectroscopic evidence for adsorption of atomic hydrogen on polycrystalline Pt is presented. The possibility of adsorption of H on magnetite-covered iron was considered using thermodynamic calculations after Marcus and Protopopoff. The evolution of hydrogen on commercial iron materials is described. It is suggested that the separation of the anodic and cathodic sites because of opening of pores in the bulk metallic Fe and the involvement of spill-over hydrogen may play a crucial role in the catalytic hydrogenation of groundwater contaminants.Key words: Raman microprobe confocal spectroscopy, iron oxides, hydrogen evolution, remediation of organic groundwater contaminants.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".