Removal of aqueous phenol by <i>Arthromyces ramosus</i> peroxidase
Bibliographic record
Abstract
The removal of aqueous phenol by Arthromyces ramosus peroxidase (ARP), in the presence of high molecular weight polyethylene glycol (PEG) as a protective additive, was investigated to study (i) the stoichiometry between phenol removal and peroxide consumption, (ii) enzyme inactivation in the presence of excess hydrogen peroxide, and (iii) the effect of reactor operating mode on phenol removal. The stoichiometry was observed to increase with increasing phenol conversion, and reached a maximum value of 0.9 mol phenol/mol peroxide when nearly complete phenol conversion was achieved. Spectral scans indicated that P-670 did not form with ARP in the presence of high concentrations of peroxide and in the absence of a reducing substrate. As long as phenol concentration was not limiting, the turnover capacity varied by approximately 3% of its average value of 76 400. This indicates that only marginal improvement in the efficiency of enzyme use would be achieved by stepped addition of enzyme. Similarly, sequential addition of hydrogen peroxide over an extended period of time yielded only a slight improvement in phenol removal from the reaction mixture. Key words: Arthromyces ramosus peroxidase, enzyme inactivation, phenol removal, reactor operation, stoichiometry.
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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".