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Record W2752886386 · doi:10.1021/acs.langmuir.7b01234

Fabrication of a Self-Supported Nanoparticle-Decorated Amphipathic Film at a Liquid/Liquid Interphase

2017· article· en· W2752886386 on OpenAlexafffund
H. Bri Sebastian, Robert M. Mayall, Viola Birss, Steven L. Bryant

Bibliographic record

VenueLangmuir · 2017
Typearticle
Languageen
FieldMaterials Science
TopicPickering emulsions and particle stabilization
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaCanada Excellence Research Chairs, Government of CanadaAlberta Innovates - Technology Futures
KeywordsLiquid liquidAmphiphileInterphaseFabricationNanoparticleNanotechnologyMaterials scienceChemical engineeringAmphiphilic moleculeChemistryChromatographyComposite materialCopolymerPolymerEngineering

Abstract

fetched live from OpenAlex

The design and facile fabrication of an amphipathic, mechanically durable, nanoparticle (NP)-decorated film has been realized at a liquid/liquid interphase. The innovative film is prepared by applying a changing electric field across an organic-aqueous interphase in the presence of 1-2 nm metal NPs, with a specific focus on Ir NPs in this work, self-assembled at the interphase, where the organic phase consists of a dissolved hydrophobic polymer in a volatile solvent. The electrochemical process leads to the oxidation of the Ir to IrOx, forming a hydrous oxide matrix at the interphase. With evaporation of the residual volatile solvent and precipitation of the polymer backbone, an isolable Ir/IrOx-decorated film is realized. The novelty of this technique stems from the ability to fabricate a substrate material in situ around a nanoparticle matrix, as opposed to transferring the matrix onto a substrate. The subsequent film exhibits a hydrophobic and a hydrophilic surface, permitting the film to reside at a water/oil, water/air, or oil/air interphase. The differences in wettability are attributed to the differences in the chemical and physical properties of the two sides of the film. Interestingly, despite both sides of the film exhibiting different wettabilities, both sides are electrochemically accessible. Several potential applications exist for this film, including the separation and collection of oil from water, in biosensors, and as catalyst layers.

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)0.000
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 score0.019
Threshold uncertainty score0.562

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)0.0010.000

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 head0.026
GPT teacher head0.290
Teacher spread0.265 · 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

Citations7
Published2017
Admission routes2
Has abstractyes

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