Investigation of MTBE degradation using advanced oxidation technologies: UV/H2O2, UV/TiO2, and UV/TiO2/H2O2
Bibliographic record
Abstract
Methyl tert-butyl ether (MTBE) present in drinking water sources poses a potential threat to human health. In this study, three advanced oxidation processes (AOPs) were investigated for MTBE degradation: UV/H 2O2, UV/TiO2, and UV/TiO2/H2O 2. MTBE degradation was found to follow the pseudo-first-order kinetics in all the three processes, and the rate constant (k) was affected by the concentrations of H2O2 and TiO 2. But higher concentration levels demonstrated a diminishing return on the reaction rate since excessive H2O2 would act as ·OH scavenger and more TiO2 would block the light passage. The addition of H2O2 to the UV/TiO2 system displayed a negative influence on MTBE degradation compared to the UV/TiO 2 system. Increasing light intensity enhanced MTBE degradation in the UV/H2O2 process (k prop; IavgH) and the UV/TiO2 processes (k prop; IavgT). Two mathematical models were proposed to estimate the rate constants with respect to the average light intensity in the solution (I avgH) and H2O2 concentration in the UV/H 2O2 process, and average light intensity in the solution (IavgT) and TiO2 concentration in the UV/TiO2 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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".