Novel insight into the influence of supports on the performance of α-MnO2 catalysts for ozone-assisted VOC oxidation: A comparative study of inert and semiconductor supports, impact of operational parameters, and stability assessments
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study investigates the impact of different supports on the performance of α-MnO₂ in ozone-assisted catalytic oxidation of volatile organic compounds (VOCs). Two supports, ZSM-5 and SiO 2 , were compared for effectiveness in removing polar (acetone) and nonpolar (toluene) VOCs. Catalysts were characterized by TGA, BET, TEM, XRD, HRTEM, XPS, EDX, and SEM analyses. Results showed that α-MnO 2 /ZSM-5 achieved superior removal efficiencies (93% acetone, 96% toluene), attributed to the higher density of oxygen vacancies and lower Mn oxidation states facilitated by ZSM-5. Operational parameters such as relative humidity and temperature were also evaluated, demonstrating enhanced catalyst stability and performance in humid conditions. α-MnO 2 /ZSM-5 exhibited minimal deactivation (<5%) after 10 cycles, highlighting its potential for sustainable air purification applications.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it