Facile Synthesis of Chitosan Modified Fe<sub>3</sub>O<sub>4</sub> Magnetic Nanoparticles for Azo Dye Amido Black 10B Adsorption
Bibliographic record
Abstract
Magnetic chitosan nanoparticles (Fe3O4-CS MNPs) were synthesized by an improved one-pot hydrothermal method and applied for azo dye amido black 10B adsorption. The Fe3O4-CS MNPs were characterized by SEM, TEM, DLS, XRD, FTIR, TGA and VSM. The adsorptive behavior of amido black 10B on Fe3O4-CS MNPs was investigated using the UV-vis specteophotometric technique and the affecting parameters including solution pH, contact time, amido black 10B concentration and Fe3O4-CS MNPs amount were examined. The adsorption process followed the pseudo-second-order kinetic model. The adsorption equilibrium data fitted well with the Freundlich isotherm model with the saturated adsorption capacity of 124.8 mg/g at pH=2.0. The desorption experiment could be carried out using NaOH with the recovery of 91.78%. After five cycles, adsorption efficiency still reached 83.24%. The results showed that Fe3O4-CS MNPs possessed a simple synthesis route and excellent reusability, which have potential application in the adsorption of azo dye in environmental effluents.
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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) | 0.001 | 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) | 0.002 | 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".