Synthesis of New Porous Natural Membranes with Nanoparticles Used in Pollute Gas Removal From Petroleum Industries
Bibliographic record
Abstract
The aim of the present work is to follow the capacity of adsorption of CO2 by natural cellulose nanofibers, extracted from banana peel and mixed with nano-silver. Following initial characterization, the raw material and the isolated sample were investigated by Energy Dispersive Analysis (EDS), X-ray diffraction (XRD); Fourier- Transformed infrared spectroscopy (FT-IR) and thermal analysis (Hi Res TG). Nitrogen gas adsorption-desorption isotherms of isolated cellulose nanofibers reveal a type I- isotherm, specific to the nano-porous materials.The results of adsorption isotherms of CO2 at 304 K showed that the extracted sample exhibit an adsorption capacity of 12 mmol/g of CO2.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".