Fabricating Highly Efficient Ternary Mn–CeO <sub> <i>x</i> </sub> /Co <sub>3</sub> O <sub>4</sub> Catalysts for Low Temperature Thermal Desorption of Persistent Perfluorooctanoic Acid in Soil
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
ABSTRACT Developing efficient catalytic thermal desorption systems is of great significance in the field of sustainable soil remediation. Herein, novel Mn–Ce solid solution modified Co 3 O 4 nanocrystals were successfully prepared for the removal of perfluorooctanoic acid (PFOA) in soil. The ternary Mn–CeO x /Co 3 O 4 catalyst exhibited the maximum of 99.2% for PFOA degradation at 200°C, while the N 2 flow rate was 0.5 L min −1 and the catalyst content added up to 0.5% of the soil mass. The superior performance of the optimized catalyst can be ascribed to the mutual conversion of oxidation valence states of Mn, Ce, and Co elements, respectively, which dramatically improved its oxygen mobility and the strength of surface acid sites. Furthermore, the probable reaction pathways were proposed according to the main intermediates identified by Fourier transform infrared (FT‐IR) and gas chromatography‐mass spectrometry (GC–MS). This study provides a cost‐effective strategy for practical catalytic thermal desorption towards the remediation of toxic persistent organics in soil.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it