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Record W2014998681 · doi:10.1002/macp.201400486

Synthesis and Evaluation of Symmetrically PEG‐Decorated Triglycerides of Fatty Acid as Drug‐Encapsulating Agents

2014· article· en· W2014998681 on OpenAlexaff
Igor Elkin, Jean‐Michel Rabanel, Valéry Aoun, Patrice Hildgen

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Catalysis and Immobilization
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsChemistryPEG ratioEthylene glycolFatty acidMicelleStearic acidSuccinic acidDrugMTT assaySpreadabilityOrganic chemistryChromatographyPolymer chemistryBiochemistryCell growthFood sciencePharmacology

Abstract

fetched live from OpenAlex

New symmetrically poly(ethylene glycol) (PEG)‐decorated triglycerides of fatty acid are synthesized and proposed as drug‐encapsulation systems. A method of effective grafting of PEG on secondary hydroxy groups located on long alkyl chains by the use of a short spacer represented by succinic acid is elaborated. Synthesis of new derivatives of triacylglycerols of fatty acids (TAG) based on the triolein standard and commercial olive oil, with PEG chains of different lengths (1000, 550, and 220 Da) is performed. MTT assay on the murine macrophage cell line RAW‐262.7 shows the absence of cytotoxic effects caused by the obtained products. Encapsulation tests using itraconazole (ITZ) as a hydrophobic drug model are carried out. The influence of the PEG chain length, as well as of the presence of ITZ on the size of micelles, are studied by the dynamic light scattering (DLS) method. The reduced cytotoxicity observed on Candida albicans cells of ITZ formulated with the PEG‐decorated TAG versus the free drug indicates that the systems may be promising to increase the duration of drug release and to reduce toxic side effects. image

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 score0.016
Threshold uncertainty score0.581

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 head0.012
GPT teacher head0.256
Teacher spread0.245 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

Explore more

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