Removal of Nitroaromatic Compounds from Water through Combined Zero-valent Metal Reduction and Enzyme-based Oxidative Coupling Reactions
Bibliographic record
Abstract
Peroxiduse-catalyzed oxidative coupling, previously shown to be an effective strategy for removal of phenols from water, has been optimized for analogous reaction and removal of several anilines. Nitroaromatic compounds, even when they are phenolic or anilino compounds, are outside the scope of peroxidase catalysis. However, zero-valent iron has been found effective in conversion of aqueous nitrobenzene to aniline, quickly and quantitatively in the 0.5 to 10mM concentration range in the absence of oxygen. The sequential application of these two steps, zero-valent iron reduction followed by peroxidase-catalyzed oxidative coupling, to nitrobenzene and preliminary results in the development of a continuous flow system for removal of nitrobenzene from water are presented.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".