Tailoring facet sensitivity in anatase titania for selective photocatalytic oxidation of methane to formaldehyde
Why this work is in the frame
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Bibliographic record
Abstract
Photocatalytic methane oxidation is a promising route to produce formaldehyde, yet achieving high efficiency, selectivity, and stability with cost-effective systems remains challenging. Here, we uncover facet sensitivity in the methane photocatalytic oxidation over anatase TiO 2 {001}/{101} junctions. The truncated octahedral bipyramid, exposing 62 % {001} and 38 % {101} facets, exhibits superior photocatalytic performance for methane-to-formaldehyde conversion under ambient conditions. Band structure, carrier dynamics, and mechanistic studies reveal that surface-bound methoxy species (OCH 3 ) act as key intermediates, facilitated by enhanced charge separation and transfer across the {001}/{101} facet junctions. The higher OCH 3 /•OH (hydroxyl radicals) ratio promotes selective methane oxidation to HCHO while suppressing deep oxidation to CO 2 . Furthermore, integration into a microtube reactor with optimized light harvesting and gas–solid–liquid mass transfer boosts performance, achieving a high formaldehyde production rate of 280 mmol g cat −1 h −1 L −1 (2.24 µmol h −1 ) with 100 % selectivity in liquid-phase. This work offers an efficient and scalable approach to catalyst and process engineering for sustainable formaldehyde production via photocatalytic methane conversion. • Facet sensitivity in the methane oxidation over anatase TiO 2 {001}/{101} junctions. • Surface-bound methoxy species (*OCH 3 ) act as key intermediates. • Integration into an optimized microtube reactor boosts the performance. • 100 % formaldehyde selectivity in the liquid phase has been achieved.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it