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Record W1978866922 · doi:10.1021/ma021129r

Solution Properties of Phosphorylcholine-Based Hydrophobically Modified Polybetaines in Water and Mixed Solvents

2002· article· en· W1978866922 on OpenAlexaff
Kazuyuki Miyazawa, Françoise M. Winnik

Bibliographic record

VenueMacromolecules · 2002
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsChemistryAmphiphilePolymer chemistryPolymerChloroformMethacrylateCopolymerPhosphorylcholineFluorescence spectroscopyAcrylamideDynamic light scatteringEtherOrganic chemistryFluorescenceChemical engineeringNanoparticle

Abstract

fetched live from OpenAlex

Fluorescently labeled amphiphilic polybetaines have been prepared, and their dilute solution properties in water, chloroform, methanol, and mixed organic solvents have been investigated by fluorescence spectroscopy, dynamic light scattering, and 1 H NMR spectroscopy. The copolymer chains consisted of N -isopropylacrylamide and N -phosphorylcholine- N ‘-ethylenedioxybis(ethyl)acrylamide units in ∼1/1 molar ratio, as well as from 3 to 10 mol % hydrophobic units, such as N - n -(octadecyl)acrylamide, N -(1 H,1 H -perfluoro- n -octyl)acrylamide, or N- [(1-pyrenyl)-4-butyl]- N - (n -octadecyl)acrylamide. In water, the polybetaines associate in multichain aggregates ranging in size from 170 to 220 nm. The assembly of the polymers in water is triggered by two cumulative effects: (1) hydrophobic interactions between the hydrocarbon or fluorocarbon chains and (2) ion pair formation between the phosphorylcholine groups. The polymers do not associate in methanol, but chain aggregation occurs in chloroform, where the phosphorylcholine groups form clusters stabilized by water structuration around these highly polar groups.

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 head0.020
GPT teacher head0.199
Teacher spread0.179 · 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

Citations38
Published2002
Admission routes1
Has abstractyes

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