Reusable BiFeO<sub>3</sub> Nanofiber-Based Membranes for Photo-activated Organic Pollutant Removal with Negligible Colloidal Release
Bibliographic record
Abstract
We report on electrospinning-assisted fabrication of highly efficient and reusable BiFeO3 nanofiber-based membranes for photo-activated organic pollutant removal with negligible colloidal release. For validation purposes, we exploit a fluorescent rhodamine B (RhB)-doped solution photo-degraded using visible and infrared illumination (λ ≥ 400 nm) from a solar simulator. As such, pollutant degradation can be directly monitored in real time. Fabrication yields an outstanding control of the fibers’ morphology, and metal-enhanced photocatalytic properties are achieved by coating the nanofiber membranes with few nanometers of platinum using sputtering technique. This chemical-free functionalization of the nanofibers allows rapid and efficient RhB degradation. After optimization, 2.4 mg of photocatalyst achieves 93% removal after 150 min under solar illumination, which is impressively more efficient compared with previous reports. Most importantly, the colloidal release-free photocatalysis activity coupled to a manufacturing-ready fabrication process makes it ideal for large-scale deployment using industrial grade equipment.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".