Response Surface Methodology Modeling Correlation of Polymer Composite Carbon Nanotubes/Chitosan Nanofiltration Membranes for Water Desalination
Why this work is in the frame
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Bibliographic record
Abstract
Quick population growth and worldwide industrialization is creating serious issues in accessing safe drinking water, which necessitates the exploration of operative and economical water treatment methods. This study aims to develop chitosan and carbon nanotube (CNT)-incorporated nanofiltration polyethersulfone (PES) membranes via the phase inversion method that have effective salt rejection capability. Various membranes, i.e., pristine PES, PES─0.75 wt % chitosan, PES─0.1 wt % CNTs, and PES─0.1 wt % CNT/chitosan composites, were fabricated and characterized. The composition, surface texture, and cross-sectional microstructures of the synthesized membranes were investigated by using attenuated total reflection–Fourier-transform infrared spectroscopy, atomic-force microscopy, and scanning electron microscopy, respectively. The chitosan/MWNTs containing a PES membrane showed excellent water flux and salt rejection. This composite membrane registered a maximum water flux of 80.26 L/m 2 ·h and ∼95.5% salt rejection at 40 °C and 4 kg/cm 2 of feed water pressure, as validated by ANOVA analysis. Response surface methodology showed a complete fit for the experimental analysis. This study suggests that the designed membrane can be used in practice to treat brackish water.
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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 | 0.001 | 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) | 0.000 | 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