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Record W1972354886 · doi:10.1021/ma0100899

One-Step Synthesis of a Fluorescent Phospholipid−Hydrogel Conjugate for Driving Self-Assembly of Supported Lipid Membranes

2001· article· en· W1972354886 on OpenAlexaff
Charlene Cheuk Wing Ng, Yu‐Ling Cheng, Peter Pennefather

Bibliographic record

VenueMacromolecules · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMembraneConjugateLiposomePhospholipidChemistrySelf-healing hydrogelsLipid bilayerPolymerizationDrug deliveryBiophysicsFluorescence microscopeLipid raftFluorescenceChemical engineeringMaterials sciencePolymer chemistryOrganic chemistryPolymerBiochemistry

Abstract

fetched live from OpenAlex

We have synthesized a phospholipid−hydrogel conjugate that appears to drive the self-assembly of lipid membranes. A one-step radical polymerization synthesis of the conjugate was devised using lipid anchors that contain a fluorescent marker and a reactive vinyl group. The anchors preferentially located at oil−water interfaces during hydrogel formation and through their vinyl groups became covalently attached at the hydrogel surface. X-ray photoelectron spectroscopy and laser scanning confocal microscopy confirmed surface localization of the anchors. Upon mixing the conjugates with liposomes, lipid membranes readily self-assembled around the lipid-modified hydrogel surfaces. Control experiments with anchorless hydrogels indicate that anchors influenced the surface density and morphology of the lipid membranes. The one-step synthesis allows for simple control of surface anchor density and thus potential control of lipid membrane properties; the fluorescent markers facilitate anchor quantitation and further membrane interaction studies. Potential applications include high throughput drug screening, diagnostics, cell models, and drug delivery.

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 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 score0.005
Threshold uncertainty score1.000

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 head0.009
GPT teacher head0.240
Teacher spread0.231 · 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

Citations23
Published2001
Admission routes1
Has abstractyes

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