Degradation of textile dyes under subcritical water conditions in the presence of hydrogen peroxide
Bibliographic record
Abstract
Abstract Decolourisation and decomposition of acid orange 7 as a model for textile wastewater was performed under subcritical water conditions in the presence of hydrogen peroxide. Hydrogen peroxide showed very efficient activity for decolourisation of AO7. Complete decolourisation temperature of AO7 declined from 275 to 135°C when a sufficient amount of hydrogen peroxide was used in the reaction medium. The effects of several other parameters were also investigated. Reaction time as well as the initial amount of hydrogen peroxide showed great effect on the decolourisation and decomposition reactions. At the higher temperatures, it was found utilising UV/Vis scanning spectra that the dye decomposed into very small molecules and gaseous products; consequently, total organic carbon (TOC) amount of the solutions after subcritical water treatment significantly declined. The reactions carried out without formation of any solid materials. At the optimum conditions treatment of several different types of dyes were also investigated.
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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 | 0.000 |
| 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 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".