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Core Cross-linked Micelles Made of Glycopolymers Bearing Dopamine and Cholic Acid Pendants

2018· article· en· W2801383620 on OpenAlexafffund
Zhiyuan Ma, X. X. Zhu

Bibliographic record

VenueMolecular Pharmaceutics · 2018
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of CanadaChina Scholarship CouncilFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsMicelleCopolymerAmphiphileCholic acidChemistryRaftPolymerizationPolymer chemistrySolventGlycopolymerSelf-assemblyChemical engineeringOrganic chemistryBile acidBiochemistryPolymerAqueous solution

Abstract

fetched live from OpenAlex

A series of block glycopolymers bearing galactose, dopamine, and cholic acid (CA) pendants have been synthesized by RAFT polymerization. These copolymers can self-assemble into micelles in water. The dopamine moieties, located near the interface of the core and shell of the micelles, can self-polymerize in a weakly basic solution, stabilizing the micelles in both water and organic solvent (DMSO). The cross-linked micelles are smaller in size than the uncross-linked precursors. Introducing more CA groups into the copolymers promotes the self-assembly to form larger aggregates, controls the cross-linking of the stabilized micelles, and facilitates the encapsulation of hydrophobic compounds such as Nile Red (NR). The amount of CA comonomers added also helps to control the cross-linking density, which affects the loading and release of NR. The core cross-linked micelles displayed a slow but sustained NR release and interact effectively with lectin (RCA120), demonstrating their potential use as a biocompatible multifunctional platform for targeted release of drugs.

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 score0.020
Threshold uncertainty score0.844

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 head0.045
GPT teacher head0.344
Teacher spread0.299 · 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

Citations14
Published2018
Admission routes2
Has abstractyes

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