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Record W2011019934 · doi:10.1021/la070099o

Time Lapse Confocal Microscopy Studies of Bacterial Adhesion to Self-Assembled Monolayers and Confirmation of a Novel Approach to the Thermodynamic Model

2007· article· en· W2011019934 on OpenAlexaff
Laura Power, Sophie Itier, Margaret Hawton, Heidi Schraft

Bibliographic record

VenueLangmuir · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsLakehead University
Fundersnot available
KeywordsMonolayerAdhesionGibbs free energyPseudomonas putidaChemistryBiological systemThermodynamic equilibriumContact angleDispersion (optics)Chemical physicsThermodynamicsMaterials scienceNanotechnologyOpticsPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

In this study, we use thermodynamic theory to develop a novel model that allows for the quantitative determination of the Gibbs free energy of adhesion for the initial bacterial attachment process. This model eliminates the need to calculate interfacial free energies and instead relies on easily measurable contact angles to determine DeltaG(adh). We experimentally verify our model using real-time observation of the initial attachment of Pseudomonas putida to methyl- and hydroxyl-terminated self-assembled monolayers. We also test the applicability of our model to a variety of experimental conditions using data available in the literature. We show that the initial attachment process is governed by dispersion forces and is accurately predicted by our model. Also, we find that our model is simple to apply and accurate for a variety of experimental conditions.

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 score0.093
Threshold uncertainty score0.291

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 head0.017
GPT teacher head0.304
Teacher spread0.286 · 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

Citations10
Published2007
Admission routes1
Has abstractyes

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