MnO<sub>2</sub>/Fe<sub>2</sub>O<sub>3</sub> Nanocomposite Sorbent for Gas Capture
Bibliographic record
Abstract
A special type of hydrous MnO2/Fe2O3 nanocomposite was prepared using a two-step precipitation method. Fe2O3·xH2O nanoparticles, precipitated from Fe(NO3)3 and NH3·H2O, were proposed to be embedded into the mesoporous network of MnO2, which was synthesized by the aqueous reaction between KMnO4 and glucose. The nanocomposite with an equal Mn/Fe molar ratio shows strong synergy, with a specific surface area of 388 m2/g, much larger than those of individual MnO2 or Fe2O3·xH2O samples. As a result, this nanocomposite exhibited the highest adsorption capacity for NH3 and SO2. The isolation of Fe2O3·xH2O by MnO2, leading to mitigated aggregation of Fe2O3·xH2O nanoparticles, was characterized by transmission electron microscopy, powder X-ray diffraction, and vibrational spectra. X-ray absorption spectroscopy was used to study the interaction between Fe2O3·xH2O and MnO2 after the formation of composites. This typical method for the preparation of nanocomposites proved to be effective to improve porosity, as demonstrated by N2 adsorption isotherms and small-angle X-ray scattering.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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; both teacher heads agree on what is shown here.
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".