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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".