Magnetically Separable Fe <sub>3</sub> O <sub>4</sub> /BiOBr Microspheres: Synthesis, Characterization, and Photocatalytic Performance for Removal of Anionic Azo Dye
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Recyclable magnetic Fe3O4/BiOBr microspheres (m-Fe3O4/BiOBr MSs) were synthesized by a simple solvethermal method. The crystals' optical, morphology, and magnetic properties of m-Fe3O4/BiOBr MSs were characterized using X-ray diffraction, scanning electron microscopy, transmission electron microscopy, energy dispersive analysis of X-rays, UV–vis diffuse reflectance spectroscopy, Brunauer–Emmett–Teller, and vibrating sample magnetometry techniques. An anionic dye, Congo red (CR), was selected as a model pollutant to evaluate the photocatalytic activity of m-Fe3O4/BiOBr MSs under simulated solar light irradiation. By calculation, the pseudo-first-order rate constant for photocatalytic degradation of CR was 0.0011 and 0.0046 min−1 using pure BiOBr MSs and m-Fe3O4/BiOBr MSs, respectively. Enhanced photocatalytic activity of m-Fe3O4/BiOBr MSs can result from superior adsorption and transfer performance to organic contaminants in aqueous system. Both the h+ radicals and O2•− radicals were main active species that drive the photocatalytic decolorization of CR solution by m-Fe3O4/BiOBr MSs. Furthermore, the m-Fe3O4/BiOBr MSs can be easily recovered and recycled after the treatment process because of the presence of magnetic Fe3O4. This work suggests that m-Fe3O4/BiOBr MSs may be a promising photocatalyst for photocatalytic treatment of organic wastewater and other 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.
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) | 0.000 | 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 | 0.001 |
| 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 it