Facile Synthesis of Well-Dispersed Superparamagnetic γ-Fe<sub>2</sub>O<sub>3</sub> Nanoparticles Encapsulated in Three-Dimensional Architectures of Cellulose Aerogels and Their Applications for Cr(VI) Removal from Contaminated Water
Why this work is in the frame
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Bibliographic record
Abstract
With the increasing emphasis on green chemistry, cellulose aerogels that consist of abundant three-dimensional (3D) architectures have been considered as a class of idea green matrix materials to encapsulate various nanoparticles for synthesis of miscellaneous functional materials. Herein, a facile template synthesis combined with chemical coprecipitation was implemented to prepare hybrid γ-Fe 2 O 3 @cellulose aerogels (γ-Fe 2 O 3 @CA). The γ-Fe 2 O 3 nanoparticles are well dispersed and immobilized in the micro/nanoscale pore structure of the aerogels, and exhibit superparamagnetic behavior. The particle sizes, pore characteristic parameters, magnetic property, and mechanical strength of the synthetic γ-Fe 2 O 3 @CA could be flexibly tailored by adjusting the concentrations of the initial reactants. In addition, γ-Fe 2 O 3 @CA exhibits rapid adsorption rate and excellent adsorption ability to remove Cr(VI) heavy metal ions. Moreover, combined with the advantages of environmental benefits, facile convenient preparation method, high specific surface area and strong mechanical strength, and strong magnetic responsiveness, this class of green γ-Fe 2 O 3 @CA is more favorable and suitable for Cr(VI) removal from contaminated water, and also useful in many other applications.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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