Alkaline Earth Metal Intercalated into Carbon Nitride Nanosheets for Photocatalytic Peroxymonosulfate Removal of Refractory Organic Pollutants
Bibliographic record
Abstract
In this work, different alkaline earth metals intercalated into g-C 3 N 4 (MCN, M = Ca, Sr, Ba) were prepared through the calcination of alkaline earth metal chlorides (MCl 2, M = Ca, Sr, Ba) and melamine. The crystallite sizes of Bulk CN, BaCN, SrCN, and CaCN are 4.6, 4.8, 1.9, and 1.5 nm, respectively. In order to efficiently transfer charges among the g-C 3 N 4 layers, the alkaline earth metal ions were designed as a “bridge”, which could chemically bond with the atoms of two adjacent layers while connecting the upper and lower layer. It is found that the cyano groups appearing on the MCN skeleton have a strong electron-attracting effect, which has a good guiding effect on promoting the separation of electrons and holes. The results of density functional theory further confirmed that BaCN had the strongest adsorption energy for peroxymonosulfate. Experiment results showed that the BaCN photocatalyst exhibited an excellent bisphenol A (BPA) degradation activity in the presence of peroxymonosulfate. The results showed that the performance of the BaCN photocatalyst to degrade BPA under visible light was 12 times that of CN. Meanwhile, the BaCN photocatalyst still had a 95% efficiency of BPA removal after four cycles of the experiment. The possible reaction mechanism in the degradation process was analyzed through electron spin resonance and capture experiments. This paper provides an idea for the comodification of g-C 3 N 4 with alkali earth metals and cyanide groups to activate peroxymonosulfate.
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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 | 0.001 | 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) | 0.000 | 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".