Enzymatic reuse of simulated dyeing process effluent using horseradish peroxidase
Bibliographic record
Abstract
Abstract Reactive dyes are complex structures that cause environmental damage when discarded. The aim of this study was to evaluate the reuse of effluent from an enzyme‐catalyzed dyeing process. The main parameters that influence the degradation of the mixture of dyes using the enzyme horseradish peroxidase were studied using response surface methodology: enzyme, hydrogen peroxide, and dye concentrations as well as the pH. The best conditions for the synthetic effluent were then applied to the reuse of the effluent from the dyeing process in laboratory and pilot scales. In the studies in pilot scale a high colour intensity was obtained (ΔE* value of 0.6) and a good washing fastness (4.0). The results obtained indicate that peroxidases could be used for colour removal on an industrial scale to save water and energy in the post‐dyeing process, reusing part of this effluent with the same efficiency as that of a traditional process.
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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 | 0.001 |
| 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 | 0.001 | 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".