Manganese–lignin peroxidase hybrid from<i>Bjerkandera adusta</i>oxidizes polycyclic aromatic hydrocarbons more actively in the absence of manganese
Bibliographic record
Abstract
We studied polycyclic aromatic hydrocarbon (PAH) oxidation using whole cells and purified manganese-lignin peroxidase (MnLiP) from Bjerkandera adusta UAMH 8258. Although the metabolism of PAHs by B. adusta has been previously demonstrated, less than 5% mineralization of 14C-labelled PAHs occurred in this study over a 40-day period. Oxidation of PAHs was examined by a purified MnLiP hybrid isoenzyme in the presence and absence of manganous ions. The rate of PAH oxidation was decreased by the presence of Mn. The substrates were anthracene and its methyl derivatives, pyrene and benzo[a]pyrene, PAHs with ionization potentials of 7.43 eV or lower. The PAH metabolites of the Mn-independent reaction were identified as the corresponding quinones. The pH optimum of the Mn-independent oxidation was generally about 4, while for the Mn-dependent reaction it was 3. The kinetic constants for the Mn-independent oxidation of 2-methylanthracene at pH 4 were determined, and the values we obtained were a kcat of 145/min, KM,app of 23.8 mmol/L for the aromatic substrate, and KM,app of 0.2 mmol/L for hydrogen peroxide. This is the first report of PAH oxidation by a MnLiP hybrid isoenzyme from white rot fungi.
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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 | 0.000 | 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".