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Record W2044105124 · doi:10.1021/ma034809i

Hydrogel Microspheres by Thermally Induced Coacervation of Poly(<i>N,N</i>-dimethylacrylamide-<i>c</i><i>o</i>-glycidyl methacrylate) Aqueous Solutions

2003· article· en· W2044105124 on OpenAlexaff
Xiangchun Yin, Harald D. H. Stöver

Bibliographic record

VenueMacromolecules · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHydrogels: synthesis, properties, applications
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCoacervateComonomerAqueous solutionGlycidyl methacrylatePolymer chemistryChemical engineeringMethacrylatePolymerCloud pointChemistryPhase (matter)Materials scienceChromatographyOrganic chemistryCopolymer

Abstract

fetched live from OpenAlex

Aqueous solutions of poly( N,N -dimethacrylamide- co -glycidyl methacrylate) (DMA−GMA) are shown to undergo liquid−liquid phase separation upon heating. The phase transition temperatures as measured by the cloud point method decreased with increasing levels of the hydrophobic GMA comonomer. The initially formed coacervate microdroplets could be cross-linked by addition of polyamines. The morphology of the resulting hydrogel microspheres depends on both coacervation conditions and cross-linking conditions. Specifically, colloidally stable microspheres were formed at temperatures slightly above the phase transition temperatures, while agglomeration took place at higher temperatures. Low molecular weight polyamines are effective internal cross-linkers for the coacervate droplets, while higher molecular weight polyamines resulted in agglomeration. Addition of sodium dodecyl sulfate increased the phase transition temperatures of polymer solutions dramatically, while addition of poly(vinylpyrrolidone) (PVP) did not affect the phase separation temperatures and could be used as a steric stabilizer.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.235
Teacher spread0.219 · 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.

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

Citations45
Published2003
Admission routes1
Has abstractyes

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