Investigation of the Presence of Amino and Nitro Polycyclic Aromatic Hydrocarbons in a Söderberg Primary Aluminum Smelter
Bibliographic record
Abstract
An excessive risk of bladder cancer among Söderberg primary aluminum smelter potroom workers has been reported by several authors, and to date, a causal agent has not been identified. Certain nitro and amino polycyclic aromatic hydrocarbons (PAHs) are either known or suspected human bladder carcinogens, and their presence in this work environment would be cause for concern. In fact, one of these, 2-aminonaphthalene, has been found in both the air and the coal tar pitch used to fabricate process electrodes following an investigation in a Söderberg plant. During the present study, monitoring was conducted in a primary Söderberg aluminum smelter over a 3-week period using novel methods having very good specificity, reproducibility, and sensitivity. Results indicated that 1-aminonaphthalene and 2-aminonaphthalene and 1-nitronaphthalene and 2-nitronaphthalene were present at low parts-per-million levels in the coal tar pitch used to prepare the process electrodes. 1-aminonaphthalene and 2-aminonaphthalene were measured 40 cm above the electrolytic cells on days 1 and 2 of the investigation when the cells' ventilation systems had been shut down for repairs and maintenance. 2-aminonaphthalene was measured at concentrations ranging from 0.080 to 0.350 microg/m3. 1-nitronaphthalene and 2-nitronaphthalene, predominant in coal tar pitch, were not detected in any of the 43 air samples collected. A plausible explanation is their reduction to their respective amine during the electrolytic process. The routine screening of coal tar pitch used to prepare the process's electrode for both amino and nitro PAHs should be adopted by the aluminum industry as an effective means of controlling the presence of these carcinogenic pollutants in their workplace.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".