Surface Modification of Synthetic Polymeric Membranes for Filtration and Gas Separation
Bibliographic record
Abstract
Surface properties of polymeric membranes are of fundamental importance in many branches of industrial applications (e.g. separation of gases, liquid mixtures, filtration, water treatment, desalination, medicine etc.). Hence, it is natural that much attention has been paid to the membrane surface modification. Review of the patents that have appeared since the year 2000 concerning the surface modification of the polymeric and other synthetic membranes was made in this article by classifying them according to the modification method. The surface modification of synthetic membranes can be performed; i) by blending or adding some other component(s) into the host polymeric material, ii) by coating the surface of the membrane with some other polymer including grafting and in situ polymerization, iii) by altering the membrane surface via chemical reaction iv) by radiation via high energy particles, and, v) by other methods. It should be noted that most of surface modification was done for the membranes used in water treatment and liquid filtration to reduce fouling and to enhance membrane performance. In contrast, very few are found in the field of gas separation. This is because surface modification is thought to have stronger impact on the performance of water treatment membranes such as RO/NF/UF/MF membranes. On the other hand, in gas treatment membranes the role of membrane surface in gas transport is less emphasized. This, however, will change as the membrane scientists and engineers will recognize the role of surface flow in the gas and vapour transport and attempt to utilize these phenomena in practical separation processes. This is already happening in the field of molecular sieve and carbon nano-tube membranes. As well, the surface phenomena will play a pivotal role in reducing the aging phenomena of gas separation membrane. The surface modification technique will also be used in other separation processes such as vapour separation and membrane distillation in the future, as shown by some examples. Keywords: Synthetic polymeric membranes, filtration, microfiltration, ultrafiltration, nanofiltration, gas separation, nano-fiber material
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".