Recent progress of modified CeO2-based materials for photocatalytic environmental remediation and antibacterial activity
Bibliographic record
Abstract
The rapid development of industrialization and urbanization has led to serious environmental pollution. As an environmentally friendly and sustainable energy source, solar-driven semiconductor photocatalysis has been widely applied in environmental remediation and antibacterial activity owing to its gentle reaction conditions. The use of CeO2-based nanomaterials in green energy production, CO2 conversion, pollutant degradation, and antibacterial is increasing. The photocatalytic performance of CeO2 can be enhanced by appropriate modification strategies that suppress the rapid recombination of electron-hole pairs. This paper provides a systematic introduction to various modification strategies for CeO2, and reviews the research progress of modified CeO2 materials in photocatalytic CO2 reduction, photocatalytic hydrogen evolution, heavy metal removal, photodegradation of organic pollutants, and antibacterial fields, finally offering perspectives on its future development direction.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".