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Record W4248443357 · doi:10.2174/2211334711003010001

Surface Modification of Synthetic Polymeric Membranes for Filtration and Gas Separation

2010· article· en· W4248443357 on OpenAlex
K.C. Khulbe, Chaoyang Feng, Takeshi Matsuura

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRecent Patents on Chemical Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicMembrane Separation and Gas Transport
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMembraneSurface modificationChemical engineeringFiltration (mathematics)Gas separationPolymerMaterials scienceDesalinationMembrane foulingFoulingSynthetic membraneMembrane technologyCoatingChemistryPolymer chemistryNanotechnologyComposite materialEngineering

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.246
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it