Treatment of oil refinery wastewater using crude <i>Coprinus cinereus</i> peroxidase and hydrogen peroxide
Bibliographic record
Abstract
Enzymatic treatment of a strong oil refinery wastewater was investigated using crude Coprinus cinereus peroxidase (CIP) from C. cinereus UAMH 4103 and hydrogen peroxide. Phenolic compounds in the refinery wastewater were enzymatically converted to coloured polymeric products, which were subsequently removed by coagulation with alum. Unlike previously reported studies with synthetic phenolic wastewaters, neither the purity of enzyme nor the addition of poly(ethylene glycol) had an effect on the phenol transformation catalyzed by CIP. As a result of enzymatic treatment ([CIP]0 = 2 U mL–1) and alum coagulation of the wastewater containing 6.4 mM total phenol, the chemical oxygen demand and 5-d biochemical oxygen demand were reduced by 52% and 58%, respectively. Although these oxygen demands were reduced in the wastewater by the enzymatic treatment and subsequent coagulation, the dissolved organic materials in the crude CIP were apparently not affected by either process and tended to remain in the treated wastewater.Key words: enzymatic treatment, oil refinery wastewater, phenol removal, Coprinus cinereus peroxidase, Arthromyces ramosus peroxidase.
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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) | 0.001 | 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 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".