Removal of acetaminophen and carbamazepine in single and binary systems with immobilized laccase from<i>Trametes hirsuta</i>
Bibliographic record
Abstract
Laccase-based bioprocesses represent a fascinating prospective for the removal of contaminants of emerging concern in wastewaters. In this work, immobilized laccase from Trametes hirsuta was used to transform carbamazepine (CBZ) and acetaminophen (ACE) in spiked single and binary solutions. The effects of pH, time course and reaction pathways on the transformation were studied. T. hirsuta secreted only laccase. The immobilized laccase was able to degrade 40% and 70% of CBZ and ACE, respectively, in the binary system, while only 5% and 25% of transformation was achieved in the single system for ACE and CBZ, respectively. The maximum removal of acetaminophen was found at pH 7. These obtained results confirm that the acetaminophen is a good laccase mediator compound. The most probable pathway in the binary system involved the formation of acetaminophen dimers and ACE-ACE-CBZ oligomers.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".