Oxidative coupling of various aromatic phenols and anilines in water using a laccase from <i>Trametes villosa</i> and insights into the ‘PEG effect’
Bibliographic record
Abstract
Abstract BACKGROUND: Studies with peroxidases (EC 1.11.1.7) have demonstrated extended lifetimes for conversion of phenolics into insoluble polymers in the presence of polyethylene glycol (PEG). Yet the mechanism of this ‘PEG effect’ has eluded investigators. The effectiveness of a laccase (EC 1.10.3.2) with PEGs of various average molar masses on the conversion of phenol, o ‐, m ‐, p ‐cresols, aniline, o ‐, m ‐, and p ‐toluidines was investigated. This structure‐activity comparison, with and without the additive, could provide further insight into the ‘PEG effect’. RESULTS: The ‘PEG effect’ was observed only with the cresols and only with PEGs of average molar mass ≥ 1450. Other additives capable of H‐bonding, such as polyvinylpyrrolidone, had similar results. When a ‘PEG effect’ was observed there was a linear relationship between the amount of additive used and the amount incorporated into the precipitate, suggesting a strong interaction between products and PEG, which was confirmed by nuclear magnetic resonance spectroscopy. Optimum pH was not affected by the quantity or molar mass of the PEG added. CONCLUSION: PEG only enhances the laccase‐catalyzed oxidative coupling of certain substrates implying a product‐additive relationship that may be related to the functionality and substituent positioning of the substrate. Copyright © 2011 Society of Chemical Industry
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".