Ultraselective Permeable Polyamide Membranes Prepared via Interfacial Polymerization of Alkane and Deep Eutectic Solvent
Bibliographic record
Abstract
Abstract Conventional alkane/water interfacial polymerization encounters significant challenges in constructing polyamide membranes with precise nanoconfinement. This requires advanced strategies that simultaneously slow the diffusion kinetics and suppress side reactions, facilitating the formation of a well‐defined pore architecture. Herein, we introduced an alkane/deep eutectic solvent (DES) interfacial polymerization approach, allowing the preparation of ultraselective permeable polyamide membranes. The DES, acting as an anhydrous solvent, effectively prevents side reactions, while its robust hydrogen bonding network finely regulates the diffusion behavior of amine monomers and induces the assembly of oligomers, affording a polyamide membrane with uniform subnanometer pores. Notably, the strong hydrogen bonding network of DES enhances the solvation of amine monomers, which further promotes the tuning of the membrane structures and functions. The polyamide membrane produced using specific DES (D‐PA) revealed an exceptional NaCl/Na 2 SO 4 (165.8) separation selectivity, an order of magnitude larger than that of conventional polyamide membranes, coupled with impressive water permeance of up to 18.4 L m −2 h −1 bar −1 . This strategy offers a paradigm shift in the fabrication of ultraselective permeable polyamide membranes for advanced water purification system.
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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".