Construction of hierarchically structured Bi2MoO6/g-C3N4/kaolinite S-scheme heterojunction photocatalyst for the efficient removal of formaldehyde and tetracycline under visible light
Bibliographic record
Abstract
A novel hierarchically structured Bi₂MoO₆/g-C₃N₄/kaolinite ternary S-scheme heterojunction photocatalyst was synthesized by a simple calcination crystallization and solvothermal method, with exfoliated kaolinite as the carrier. Detailed analysis of the structure and morphology of the composite was conducted through a series of characterization techniques. The results indicate that the incorporation of kaolinite notably enhanced the photocatalytic performance of the composite. Kaolinite not only acts as a carrier, providing a high specific surface area and abundant adsorption sites, but also facilitates the migration and separation of photogenerated carriers through its unique layered structure and surface chemical properties. Consequently, this ternary composite exhibits excellent degradation performance towards tetracycline and formaldehyde under visible light irradiation, with reaction rate constants that are 15.5 times and 8.05 times higher than that of pure g-C₃N₄, respectively. Radical scavenger experiments reveal that hydroxyl radical (•OH) is the primary active specie. Finally, we discuss the synergistic mechanism of kaolinite in the composite, including its enhancement of light capture ability, improvement of charge separation efficiency, and promotion of active species generation. Overall, this study provides new insights for developing highly efficient and stable kaolinite-based visible-light-driven materials for environmental remediation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".