Silver Nanoparticles Embedded in COFs as Reusable Photocatalyst for Oxidative Coupling of Benzylic Amine and Carboxylation of Benzyl Alcohol Derivatives
Bibliographic record
Abstract
In the present study, we have synthesized a benzothiadiazole derivative-based 2D donor–acceptor BtCOF, which we then customized by incorporating AgNPs over the COF, denoted as Ag/BtCOF. The AgNP-embedded BtCOF catalyst was characterized by various techniques like IR, XRD, SEM, TEM, XPS, UV–vis, photoluminescence (PL), electrochemical impedance spectroscopy (EIS), transient photocurrent response (TPR), and time resolved fluorescence (TRF) analysis. The activity of the catalyst was studied for the visible-light-assisted oxidative coupling of benzylic amines and the photocatalytic carboxylation of benzyl alcohol derivatives. Herein, the COF served as a support for the metal particles as well as provided a synergistic impact that improved the yield of the product formed during the catalytic process. The incorporation of AgNPs significantly enhances charge separation and promotes efficient electron transfer, while the intrinsic narrow band gap of BtCOF facilitates superior light absorption and increases the photocatalytic productivity. This strategic modification enhanced photophysical properties and has led to extraordinary photocatalytic activity in photocatalytic oxidization of benzylamine derivatives (conversion and selectivity ≥90%) in 4 h and carboxylation of C(sp 3 )-O bonds of benzyl alcohols (conversion ≥78% and selectivity ≥92%) in 24 h. Furthermore, the catalyst demonstrated excellent recyclability over several cycles without losing its catalytic activity.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".