Perspectives on Surface Functionalization of Polymeric Membranes with Metal and Metal-Oxide Nanoparticles for Water/Wastewater Treatment
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
Membrane filtration technology has been extensively applied in water/wastewater treatment to help address the issue of water shortage, in which polymeric membranes are most commonly used. However, the hydrophobic nature of polymeric membranes would contribute to membrane damage caused by accumulation of organic/inorganic fouling during filtration processes. The strategy of membrane surface functionalization with nanoparticles (NPs) has been investigated and utilized to effectively improve membrane performance. Herein, recent research efforts on surface functionalization of polymeric membranes with a variety of NPs for water/wastewater treatment were concisely reviewed, focusing on metal and metal-oxide NPs. Methods for the immobilization of NPs on membrane surface and their influences on membrane properties and performances were overviewed. Results and contributions achieved in the improvement of membrane performances through surface functionalization with NPs were summarized, and emphasis was given to membrane hydrophilicity, stability, as well as antifouling and antibacterial property. Furthermore, perspectives on the current challenges and future research needs in the development and application of surface functionalized polymeric membranes were discussed.
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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 | 0.000 | 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) | 0.001 | 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