Synthesis and Characterization of Hematite onto Cellulose Supports for Adsorption of Roxarsone
Bibliographic record
Abstract
This study reports on the development of an iron oxide-cellulose composite material for the controlled removal of 4-hydroxy-3-nitrobenzenearsonic acid (roxarsone), a model organoarsenical. Hematite (He) and a hematite-cellulose (HeCell) composite adsorbents were prepared and characterized by thermal gravimetric analysis (TGA), nitrogen adsorption, and various spectroscopic (IR, Raman, XRD, and TEM) methods. The uptake of roxarsone at ambient conditions of He and HeCell, and goethite-cellulose (GoCell) adsorbent were compared to study the factors that influence adsorption. The monolayer adsorption capacity (mmol/g) of each adsorbent are listed in parentheses, as follows: cellulose (0.028), goethite (0.0730), Hematite (0.155), 10 % Fe coated GoCell (0.0222) and 10% Fe coated HeCell (0.0873). The relatively large surface area of hematite nanoparticles (NPs) and good dispersion of these NPs onto the cellulose supports contribute to their effective adsorption of roxarsone.
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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) | 0.001 | 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 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".