The Effect of Aligned Porous Nanofibers on Filter Efficiency and Pressure Drop
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Masks, vital for submicron filtration, face a trade-off between enhanced when increasing filter efficiency and, an increased pressure drop, impacting user comfort during physical activities leading to difficulty breathing. Polycaprolactone (PCL) and Nylon masks electrospun with humidity control, was investigated. Optimal conditions emerged with a 10% PCL solution by weight in a chloroform and dimethylformamide mix (8:2 ratio), collected at 500 RPM, producing highly efficient aligned porous fibers. Conversely, Nylon failed to yield porous fibers under any tested combination of parameters. Our findings reveal a filtration efficiency range for porous aligned PCL fibers from 6% for 0.3 μm particles up to 42% at 5 μm, accompanied by a minimal pressure drop of 7 Pa. Introducing humidity proved effective in manufacturing porous nanofibers within a conventional electrospinning setup, offering promise for exploring diverse materials. The material’s distinct behavior suggests a broad avenue for the development of oriented multilayered mask application.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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