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Record W2091642051 · doi:10.1021/la0624945

Synthesis and Characterization of Core−Shell Microspheres with Double Thermosensitivity

2006· article· en· W2091642051 on OpenAlexaff
Yilong Chen, Julien E. Gautrot, X. X. Zhu

Bibliographic record

VenueLangmuir · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHydrogels: synthesis, properties, applications
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMicrosphereCharacterization (materials science)Core (optical fiber)Shell (structure)Chemical engineeringMaterials scienceChemistryNanotechnologyComposite materialEngineering

Abstract

fetched live from OpenAlex

We have synthesized doubly thermosensitive core-shell microspheres composed of chemically cross-linked poly(N-n-propyl acrylamide-co-styrene) (P(nPA-co-S)) with different styrene contents as the core and linear poly(N,N-diethyl acrylamide) (PDEA), poly(N-isopropyl acrylamide) (PiPA), or poly(N-isopropyl methacrylamide) (PiPMA) as the shells. The morphologies and swelling properties of the core and the core-shell microspheres have been studied. The P(nPA-co-S) copolymers have a similar volume phase transition temperature regardless of the styrene content, indicating a two-layer structure in the microspheres with a PS-rich inner core and a PnPA-rich outer layer resulting from soap-free emulsion polymerization in water. Upon the addition of the second shell composed of linear thermosensitive polymers, the core-shell microspheres display a two-step shrinking behavior when heated. The P(nPA-co-S) core exhibits a volume phase transition temperature at 13-15 degrees C, while the shells of PDEA, PiPA, and PiPMA have volume phase transition temperatures at 28, 32, and 42 degrees C, respectively. The core-shell microspheres are composed of three layers and possess two volume phase transition temperatures.

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 score0.059
Threshold uncertainty score0.276

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)0.0000.000

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 head0.010
GPT teacher head0.205
Teacher spread0.195 · 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

Citations24
Published2006
Admission routes1
Has abstractyes

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