Combining adsorption with anodic oxidation as an innovative technique for removal and destruction of organics
Bibliographic record
Abstract
Coupling of adsorption with electrochemical oxidation is a novel approach to the treatment of aqueous organics that has demonstrated a number of key benefits over the individual application of these processes. This is based on a highly conducting adsorbent material, developed under the trade name Nyex™, that is able to rapidly adsorb the organics and anodically oxidise them within a single treatment unit. Successful scale up of the process (in both continuous and batch operation) has been achieved for the polishing of two separate groundwaters (one containing relatively simple petrol, diesel and their degradation products and the other with a range of more complex organics). Treatment showed that low discharge consents can be achieved, including the removal of more complex and difficult to treat compounds to below the limits of detection. Energy consumption for electrochemical regeneration was relatively low (down to 0.5 kWh/m(3)) suggesting that the process could be a practical alternative approach for effluent polishing.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".