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Record W2807474715 · doi:10.1002/app.46678

Functionalized polymeric membrane with aquaporin using click chemistry for water purification application

2018· article· en· W2807474715 on OpenAlexafffund
Yuan He, Hiofan Hoi, Carlo Montemagno, Sinoj Abraham

Bibliographic record

VenueJournal of Applied Polymer Science · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsAlberta Glycomics CentreUniversity of Alberta
FundersNational Institute for Nanotechnology
KeywordsPolysulfoneMembraneAzideSubstrate (aquarium)Chemical engineeringClick chemistryAqueous solutionPolymer chemistryChemistryConjugateMaterials scienceCombinatorial chemistryCovalent bondUltrafiltration (renal)PeptideSolventChromatographyOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

ABSTRACT A new type of aquaporin‐based biomimetic water purification membrane is fabricated using a propargyl functionalized β‐sheet peptide (FBP1). FBP1 is demonstrated to bind to aquaporin and form a stable protein–peptide complex in aqueous solution, as well as covalently conjugate with azide group. Substrate starting material, polysulfone (PSU), is modified with ∼1.05 azide group per repeating unit and casted into a thin film substrate with appropriate pore size structure using non‐solvent induced phase separation technique. Protein–peptide complex then is clicked onto the substrate using an in‐house built circulating system. The successful immobilization is verified by surface chemical composition analysis and surface morphology analysis. The preliminary salt rejection results show salt rejection improvement from 5% of control membrane to 12.5%. We thus demonstrate a promising method to conjugate a thin layer of membrane protein onto polymeric substrate and well maintain the functionality of membrane proteins. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018 , 135 , 46678.

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.

How this classification was reachedexpand

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)0.001
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 score0.028
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.252
Teacher spread0.238 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2018
Admission routes2
Has abstractyes

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