Enhanced Photocatalytic Degradation Activity of BiFeO3 Microspheres by Decoration with g-C3N4 Nanoparticles
Bibliographic record
Abstract
In this work, the g-C3N4 nanoparticles decorated BiFeO3 microspheres composites (g-C3N4/BiFeO3) were successfully synthesized by hydrothermal treatment of g-C3N4 nanoparticles together with BiFeO3 microspheres. The SEM and HRTEM observation indicate that the C3N4 nanoparticles with size of 30-50 nm are well decorated on the surface of BiFeO3 microspheres. The photocatalytic activities of the samples are investigated by the degradation of methylene blue (MB) under the irradiation of simulated sunlight. The as-prepared g-C3N4/BiFeO3 composites exhibit remarkable enhanced photocatalytic activity compared with bare BiFeO3. More importantly, the photocataltic performance of the composites is further confirmed by the degradation of colorless phenol. Furthermore, the favorable catalytic stability of composites is demonstrated through the recycling photocatalytic experiment. The enhanced photocatalytic activity of g-C3N4/BiFeO3 composites is mainly attributed to the separation of the photogenerated electron-hole pairs, resulting from the migration of the photoinduced charge between g-C3N4 nanoparticles and BiFeO3. A possible photocatalytic mechanism for dye degradation over g-C3N4/BiFeO3 composite is proposed based on the active species trapping experiment, revealing that the photogenerated hole (h+) and hydrogen peroxide (H2O2) are regarded as the major active species for the decomposition of dye, while hydroxyl radicals (•OH) plays a minor role in the photocatalytic reaction.
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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".