Dual-Nozzle Electrospinning for Janus Membranes in Membrane Distillation of Highly Saline and Oil-Contaminated Waters
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Electrospun nanofibrous membranes are highly valued for membrane distillation (MD) due to their inherent porosity and tunable structure. This study introduces a novel dual-nozzle electrospinning method to fabricate a multilayered Janus membrane, combining an omniphobic layer of PVDF fibers and fluorinated TiO 2 -PVDF microclusters with a hydrophilic layer of hydrolyzed PMA fibers. The resulting membrane demonstrated exceptional performance and durability. In a 21 h MD operation against oily saline solutions, it retained 80% of its initial flux while producing high-purity water (conductivity <5 μS/cm). Notably, the membrane exhibited complete underwater oil repellence, preventing fouling from oil droplet adhesion. Furthermore, in a 7 h test with highly saline feed, the membrane maintained 99% of its initial flux and permeate conductivity below 60 μS/cm. The success of the membrane is attributed to the dual-nozzle setup, which provides both improved processing efficiency and strong interlayer adhesion, enhancing structural integrity during prolonged MD operations and cleaning cycles. This work presents a robust and scalable method for fabricating high-performance Janus membranes, offering a significant advancement for treating challenging, oil-contaminated water via membrane distillation.
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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 | 0.000 | 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 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".