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Record W4205646239 · doi:10.1021/acsapm.1c01505

Biomimetic and Hydrophilic Vitamin B5 Analogous Methacrylamide Polymers Prevent Surface Fouling

2022· article· en· W4205646239 on OpenAlexafffund
Diego Combita, Nauman Nazeer, Adnan Murad Bhayo, Marya Ahmed

Bibliographic record

VenueACS Applied Polymer Materials · 2022
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Surface Interaction Studies
Canadian institutionsUniversity of Prince Edward Island
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMethacrylamidePolymerPolymer chemistryMaterials scienceBiofoulingContact angleChemical engineeringPolymerizationChain transferSide chainCopolymerChemistryRadical polymerizationComposite materialAcrylamideMembrane

Abstract

fetched live from OpenAlex

This study reports the synthesis of well-defined polymers of vitamin B5 analogous methacrylamide (poly(B5AMA)) using the reversible addition fragmentation chain transfer polymerization method. The prepared telechelic poly(B5AMA) with a predicted molecular weight and narrow polydispersities are grafted onto silanized glass surfaces using a “grafting to” approach. The polymer-treated samples are characterized for the water contact angle and surface roughness properties, as a function of polymer size and density of the polymers grafted onto the glass slides. The antifouling behavior of poly(B5AMA)-grafted glass slides is then studied and compared with that of PEGylated glass slides, upon treatment with a variety of proteins and bacteria. The functionalized surfaces exhibit remarkable antifouling properties that are found to be dependent on both the density and the molecular weight of the grafted polymers.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.245
Teacher spread0.233 · 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.

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

Citations7
Published2022
Admission routes2
Has abstractyes

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