Green Photocatalytic Oxidation of Benzyl Alcohol over Noble-Metal-Modified H<sub>2</sub>Ti<sub>3</sub>O<sub>7</sub> Nanowires
Why this work is in the frame
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Bibliographic record
Abstract
One-dimensional H2Ti3O7 nanowires (NWs) supported by Au, Ag, and Pd monometallic nanoparticles (NPs) and Au–Pd bimetallic NPs were prepared and used for photochemical benzyl alcohol oxidation. Techniques, such as XRD, TEM, XPS, N2 physisorption, and diffuse reflectance ultraviolet–visible (DRUV–vis), were used to characterize the obtained catalysts. These results showed that the Pd/H2Ti3O7 NWs catalyst under light irradiation displayed an enhanced photocatalytic performance, nearly 2.6 times higher than that for the catalyst without irradiation and about 1.5 times higher than that for Pd/TiO2(P25) with irradiation. The enhanced benzyl alcohol oxidation activity for Pd/H2Ti3O7 NWs might be due to the favorable synergetic effect between Pd and H2Ti3O7 NWs. Particularly, highly dispersed Pd NPs with about 10.2 nm on H2Ti3O7 NWs can promoted the light harvesting ability. The well-matched contact boundary between H2Ti3O7 NWs and Pd NPs might promote separation for the photoinduced electron and hole pairs. After 5 recycle utilization cycles, there was no evident decline in activity and selectivity for the Pd/H2Ti3O7 NWs catalyst, which still maintained its original structure of H2Ti3O7 NWs. The current study provides a potential application in the green and highly efficient photocatalytic synthesis of other organic compounds and other environmental 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.001 |
| 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