Size-Dependent Catalytic Activity of Palladium Nanoparticles Decorated on Core–Shell Magnetic Microporous Organic Networks
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Bibliographic record
Abstract
It is of supreme importance to develop recyclable and green heterogeneous catalysts due to their potential to reduce environmental impact and reduce costs associated with their use. Hence, in this research, an initial development was made of a core–shell magnetic structure composed of Fe 3 O 4 and a microporous organic network (MON), followed by the physical absorption of palladium nanoparticles (NPs) onto the outer surface of this shell substance. The results of TEM and EDX analyses indicated that Pd NPs of varying sizes, which were produced by using different reducing agents, were evenly bound to the MON shell materials. The use of PiFM and XPS analyses provided evidence that there was effective bonding between Pd nanoparticles and the amine groups present on the surface of MON materials. Besides, the successful immobilization of palladium NPs was also approved by N 2 adsorption/desorption analyses with the decrease of the surface from 328 to 227 m 2 /g after palladium inclusion. The prepared nanoheterogeneous catalysts can catalyze the C–C formation in mild conditions, green solvents, and short reaction times with good to excellent yields. The results revealed that the catalyst with smaller palladium NPs sized 1–5 nm and in medium abundance has better catalytic performance toward C–C formation, compared to those with bigger Pd NPs sized 5–15 nm and in both low and high Pd contents.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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