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Record W2025320453 · doi:10.1039/c3py01339a

Polystyrene-block-poly(acrylic acid) brushes grafted from silica surfaces: pH- and salt-dependent switching studies

2013· article· en· W2025320453 on OpenAlexaff
Olga Borozenko, Charly Ou, W. G. Skene, Suzanne Giasson

Bibliographic record

VenuePolymer Chemistry · 2013
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Surface Interaction Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCopolymerAtom-transfer radical-polymerizationPolystyrenePolymer chemistryAcrylic acidPolymer brushSubstrate (aquarium)ChemistryHydrolysisSalt (chemistry)PolymerizationPolymerChemical engineeringMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

We report the preparation, characterization and responsive behavior of polystyrene-block-poly(acrylic acid) (PS-b-PAA) copolymer brushes grafted from silica substrates using Surface-Initiated Atom Transfer Radical Polymerization (SI-ATRP). pH-dependent swelling behavior was investigated in situ by ellipsometry and it confirmed that PAA chains can be reversibly switched from collapsed to extended conformations. It also confirmed that the grafted copolymer brushes were stable under extreme alkaline conditions of pH and with added salt. We showed that the hydrophobic polystyrene block of the copolymer protects the substrate–initiator bond against hydrolysis that would otherwise cause undesired polymer degrafting from the substrate. Also, we provide evidence of fundamentally different brush conformations with metal cations of increasing valency. Monovalent sodium and cesium ions caused brush stretching while only collapsed brushes were observed with divalent calcium ions.

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 score0.003

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 head0.020
GPT teacher head0.266
Teacher spread0.247 · 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

Citations26
Published2013
Admission routes1
Has abstractyes

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