Cobalt-Atom Active Sites Grafted UiO-66-NH<sub>2</sub> via EDTA for the Enhanced Production of Syngas in CO<sub>2</sub> Photoreduction
Bibliographic record
Abstract
In recent years, the use of photocatalysts has emerged as a promising research direction to transform harmful CO 2 molecules into renewable fuels. In this work, the chelating agent ethylenediaminetetraacetic acid (EDTA) containing a central metal atom like Co was attached to the UiO-66-NH 2 metal–organic frameworks (MOFs) through a one-pot synthesis. Several samples with different molar ratios of UiO-66-NH 2 –Co and EDTA (molar ratios of UiO-66-NH 2 –Co/EDTA is 1.2; 0.6; and 0.4) were synthesized and assessed for photocatalytic CO 2 reduction to produce syngas (the mixture of CO and H 2 ), which can be used for generating liquid fuels. Among these samples, the highest syngas production rate was achieved by sample U-E-0.6, yielding around 776.40 and 1217.29 μmol g –1 h –1 of CO and H 2, respectively, at the end of 4 h. Multiple investigations, including electrochemical impedance, time-resolved, steady state photoluminescence, linear sweep voltammetry, and photocurrent measurements, revealed that the addition of EDTA-metal to UiO-66-NH 2 improved the photoelectrochemical properties of the system, thereby enhancing its photocatalytic activity under solar irradiation. This research paves the way for the development of a single atom encapsulated in the MOF material for photocatalytic CO 2 reduction.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".