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Surface difference of novel fluorinated polyacrylate latex prepared with different surfactants

2012· article· en· W2056800733 on OpenAlexaff
L J Chen, Fei Wu

Bibliographic record

VenueSurface Engineering · 2012
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsSodium polyacrylateMaterials scienceContact angleAcrylatePulmonary surfactantPolymer chemistryEmulsion polymerizationAcrylate polymerFourier transform infrared spectroscopyMethyl methacrylateButyl acrylateMethacrylateParticle sizeEther(Hydroxyethyl)methacrylateSurface tensionChemical engineeringPolymerizationChemistryOrganic chemistryComposite materialPolymerCopolymer

Abstract

fetched live from OpenAlex

The novel fluorinated polyacrylate latex was successfully prepared by emulsion polymerisation of perfluorononylene allyl ether (PFAE) with butyl acrylate (BA) and methyl methacrylate (MMA) initiated by potassium persulphate (KPS) in the water with different surfactants. PFAE was synthesised from the intermediate perfluoro nonene and 3-allyl alcohol as staring reactants. Films of the novel fluorinated polyacrylate latex were prepared by coating the latex directly on the clean glass sheet and allowed to dry at 80°C in a bake oven. The structure of the novel fluorinated polyacrylate latex was investigated by Fourier transform infrared spectrometry. Surface difference of novel fluorinated polyacrylate latex prepared with different surfactants was studied. Results show that the latex prepared with sodium dodecyl benzene sulphonate surfactant has smaller particle size, contact angle and lower surface tension. The latex prepared with sodium 2-hydroxy-3-(methacryloyloxy) propane-1-sulphonate surfactant has larger particle size, higher surface tension and larger contact angle.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.021
GPT teacher head0.228
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), 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

Citations13
Published2012
Admission routes1
Has abstractyes

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