Silanation of Nanostructured Mesoporous Magnetic Particles for Heavy Metal Recovery
Bibliographic record
Abstract
Nanostructured mesoporous magnetic (m-Fe 3 O 4 ) particles are promising candidate materials for separation, detoxification, and precious metal recovery. The silanation of m-Fe 3 O 4 particles using 3-aminopropyltriethoxysilane is described. The silanized films were characterized using XPS, diffuse-reflectance FTIR spectroscopy, and electrokinetic techniques. The loading capacity of the silanized m-Fe 3 O 4 particles was found to be superior to that of m-Fe 3 O 4 or directly silanized Fe 3 O 4 particles. Extraction and separation of transition metals (II) were investigated using the silanized m-Fe 3 O 4 particles. The effectiveness of metal (II) extraction was found to increase with increasing solution pH, but was less effective at pH below 2. Satisfactory separation with loading efficiency in the order of Cu 2+ > Ni 2+ > Zn 2+ was obtained. The adsorbed metals were successfully desorbed with 1 M aqueous HCl solutions. As a result, the recovered m-Fe 3 O 4 particles can be recycled in industrial applications.
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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 | 0.002 | 0.001 |
| 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) | 0.001 | 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".