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Record W2066679974 · doi:10.1680/gmat.13.00015

Switchable surfactants at the polystyrene–water interface: effect of molecular structure

2014· article· en· W2066679974 on OpenAlexafffund
Xin Su, Philip G. Jessop, Michael F. Cunningham

Bibliographic record

VenueGreen Materials · 2014
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsQueen's University
FundersCanada Research Chairs
KeywordsPulmonary surfactantAdsorptionPolystyreneMonolayerChemical engineeringMaterials sciencePolymer chemistryChemistryOrganic chemistryNanotechnologyPolymerComposite material

Abstract

fetched live from OpenAlex

Polystyrene (PS) latexes prepared with either C12N (N’-dodecyl-N,N-dimethylacetamidinium bicarbonate) or C12E2N (N’-(2-(2-(dodecyloxy)ethoxy)ethyl)-N,N-dimethylacetamidinium bicarbonate) switchable surfactants are stable when CO2 is present, aggregate when CO2 is removed and can be redispersed by readdition of CO2. The surface coverage of the latex with surfactant drops significantly when CO2 is removed. For PS latexes with C12N, the surface coverage does not return to the original value when CO2 is reintroduced, but the coverage of the latex with C12E2N does return to the initial value. The redispersion process of the PS latex with C12E2N occurs much more rapidly when sparging with CO2. Both C12N and C12E2N behave as surfactants in the presence of CO2, but in the absence of CO2, only C12E2N continues to have some surface activity. Due to their different molecular structures, their solid surface adsorption behaviors differ. With or without CO2, C12E2N exhibits monolayer adsorption on the surface of the latex particle.

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)0.001
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.004
GPT teacher head0.208
Teacher spread0.204 · 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

Citations18
Published2014
Admission routes2
Has abstractyes

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