Electrically conductive laser-induced graphene engraved Janus membrane for membrane distillation
Bibliographic record
Abstract
Electrically conductive membranes (ECMs) show significant potential in overcoming wetting and pore-blocking challenges in membrane distillation (MD) processes. In this study, a novel Janus ECM has been developed by laser-induced graphene (LIG) engraving technique on a polyamide-imide (PAI) membrane, complemented by a silica-infused PVDF layer on the opposite side to create a unique 'sandwich' structure. The Janus structure integrates the hydrophilicity of the LIG layer with the hydrophobicity of the PVDF layer, facilitating efficient vapor flux. The optimized membrane achieved electrical conductivity of 142 ± 1.5 S/cm, water vapor flux of 11.3 ± 0.56 LMH, and 99.77 ± 0.1 % salt rejection. Its underwater oleophobicity effectively resisted wetting by surfactants and oil-water emulsions. Furthermore, applying a cathodic potential of 3V enhanced the electrostatic interactions between organic foulants and the membrane surface, reducing fouling and achieving a minimal flux decline of 2.45 %/hr over 6 h. Experiments on mineral scaling mitigation revealed that AC electric fields outperformed DC fields. A square waveform at 5Hz frequency achieved over 99 % salt rejection with minimal flux decline for monovalent and multivalent ion solutions, attributed to enhanced electrophoretic mixing under the AC field. A long-term test with the monovalent salt solution under AC/1V/5Hz(square waveform) exhibited excellent flux with a minimum flux decline of 1.35 %/hr after 18 h of experiment with no significant change in the membrane LIG structure. The in-situ LIG engraving process and the membrane's adaptability to varying electric field applications highlight its potential for large-scale use. • In-situ LIG engraving offers a scalable method for creating LIG on membranes, enhancing stability and morphology control. • Janus membrane design integrates hydrophilic LIG and hydrophobic PVDF, optimizing vapor transport and preventing wetting. • Electric conductivity of LIG enables electric field applications to reduce fouling, scaling, and pollutant degradation. • The membrane delivers superior antifouling properties, high flux, and scalability for efficient water treatment. • The multifunctional nature of the LIG-based membrane allows applications in energy storage, sensors, and catalysis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| 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 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".