The environmental geochemistry and mineralogy of cobalt in mining-affected environments
Bibliographic record
Abstract
Mine wastes can pose environmental and human health risks, especially when they contain high levels of mobile metal(loid)s. In this study, the geochemistry, mineralogy and bioaccessibility of Co in mine-affected environments was investigated. The focus was to characterise the geochemistry and mineralogy of Co, combining with sequential extraction procedures and in vitro bioaccessibility tests, to assess the environmental and health risks of the mine wastes originating from legacy mining environments in Cobalt, Canada, and Cornwall, UK. Bulk geochemical results indicated that Co was elevated up to 5630 mg kg-1 in the Nipissing high grade tailings, and 1230 mg kg-1 in the Nipissing low grade tailings at Cobalt. This concentration was by several orders of magnitude higher than at Poldice, Wheal Unity, and Dolcoath mine sites, where the Co concentration was 40 mg kg-1, 76 mg kg-1, and 59 mg kg-1, respectively. BCR-sequential extraction tests results show that in both settings Co was in an exchangeable phase - suggesting that it is mobile in the environment. Mineralogical analysis indicated that erythrite was the most important secondary Co bearing mineral widespread in the Nipissing tailings. Other secondary minerals to which Co occurred in included arseniosiderite, scorodite, and Fe oxyhydroxides. Primary Co bearing minerals identified included cobaltite and safflorite-skutterudite. Cobalt also occurred in other primary minerals including arsenopyrite, loellingite, pyrite and chalcopyrite. At the sites in Cornwall, however, Co bearing primary and secondary minerals were not identified in the samples. Cobalt occurred in the primary minerals arsenopyrite, pyrite, and chalcopyrite and in secondary minerals such as scorodite, and Fe-Mn oxyhydroxides. The lung bioaccessible fraction of Co was higher when extracted in the artificial lysosomal fluids than in Gamble’s solution, varying from 68-88% for samples collected from Cobalt, whilst 28-37% from the Cornish sites. Similarly, the gastric phase, owing to its low pH (2), had the most Co extracted in the intestinal phase (pH 7). Gastric bioaccessibility percentages varied from 44-88% for the samples collected from Cobalt, whilst 21-38% for the Cornish samples. These results combined with the risk assessment code highlight the highly mobile nature of Co, indicating that this metal(loid)s may pose considerable risk to humans and the environment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 source (direct Gemma or distilled Codex), 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".