Isolation and screening of fungi to determine potential for ammonia nitrogen treatment in wastewater
Bibliographic record
Abstract
Twenty-two fungi were studied to determine the potential for development of fungal nitrogen treatment (FNT) technology for municipal wastewater. Fungal nitrogen treatment has been hypothesized to have several significant advantages over bacterial nitrification–denitrification systems. The fungi were isolated from the biological nutrient reactor at the Gold Bar Wastewater Treatment Plant in Edmonton, Alberta, Canada. Fungi were screen for nitrogen treatment potential using an aerobic 3 day ammonium concentration decrease test. Seven fungi were found to have potential for nitrogen or phosphorus treatment. The highest average ammonium decreased was 59% with an average initial concentration of 22 mg N L–1. Fungal nitrogen treatment was also characterized by a lack of production of nitrate or nitrite under aerobic conditions. Data analysis indicated, the ammonium decrease was not consistent with nitrogen assimilation.Key words: fungi, biological nutrient removal, ammonium, nitrification, denitrification.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".