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Record W2330827084 · doi:10.1021/ac5019183

Direct Detection of the Gel–Fluid Phase Transition of a Single Supported Phospholipid Bilayer Using Quartz Crystal Microbalance with Dissipation Monitoring

2014· article· en· W2330827084 on OpenAlexafffund
Andreas Wargenau, Nathalie Tufenkji

Bibliographic record

VenueAnalytical Chemistry · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsChemistryQuartz crystal microbalanceBilayerPhospholipidPhase transitionQuartzDissipationLipid bilayerPhase (matter)Single crystalAnalytical Chemistry (journal)Chemical engineeringChemical physicsChromatographyMembraneCrystallographyPhysical chemistryComposite materialThermodynamicsOrganic chemistryAdsorption

Abstract

fetched live from OpenAlex

Supported phospholipid bilayers (SPBs) are valuable models for fundamental studies of biological membranes and their interaction with biologically relevant solutes or particles. Herein, we demonstrate the capability of the quartz crystal microbalance with dissipation monitoring (QCM-D) to directly detect the gel-fluid phase transition of a SPB. The approach involves comparison of the frequency response of a bare and a bilayer-coated QCM-D crystal during linear temperature variation. Phase transition results in a change of the resonance frequency that coincides directly with the accompanied change in bilayer thickness detected by ellipsometry. Experiments performed at different heating rates further demonstrate the use of dissipation monitoring to determine the phase transition temperature based on the temperature-induced viscosity changes of the ambient medium in the immediate environment of the bilayer. Unlike other methods, the proposed approach enables precise determination of the phase transition of a SPB without the need for thermal equilibration of the measurement chamber and, thus, has great potential for sensitive detection of structural and/or compositional changes of the bilayer.

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 score0.002
Threshold uncertainty score0.369

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 head0.251
Teacher spread0.241 · 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

Citations27
Published2014
Admission routes2
Has abstractyes

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