Colour remediation of pulp mill effluent using purified fungal cellobiose dehydrogenase: Reaction optimisation and mechanism of degradation
Bibliographic record
Abstract
Cellobiose dehydrogenase purified from two different fungal sources was assessed for its ability to remove and/or reduce colour from pulp mill bleach plant effluent. Cellobiose dehydrogenase purified from Phanerochaete chrysosporium was shown to prefer acidic conditions and was consequently used to treat the acid effluent stream discharged from a pulp mill bleach plant, while an analogous enzyme originating from Humicola insolens preferred alkaline conditions, and was applied to the effluent discharged from the caustic sewer of the bleach plant. Both enzyme preparations were able to remove colour from their respective effluent sources to a comparable extent. Up to 50% of the effluent colour was removed within 4 days when treated under optimised conditions. Furthermore, it was also shown that this enzymatic approach was effective at removing colour generated by both softwood and hardwood resources. Mechanistically, it was shown that colour was removed from all molecular weight fractions, and the higher molecular weight material (>300 kDa) was concurrently preferentially degraded. Cellobiose dehydrogenase treatment of effluent did not target phenolic, stilbene, or alpha-carbonyl structures, but did affect the quinone content. Further investigations using model compounds confirmed these results, and subsequently showed that only the para-quinones with low substitution were reduced with cellobiose dehydrogenase.
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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".