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Record W2004201373 · doi:10.1002/ppap.201100192

Loading and Release of Drugs from Oxygen‐rich Plasma Polymer Coatings

2012· article· en· W2004201373 on OpenAlexaff
Maria José Garcia‐Fernandez, Laura Martínez-Calvo, Juan‐Carlos Ruiz, M. R. Wertheimer, Ángel Concheiro, Carmen Alvarez‐Lorenzo

Bibliographic record

VenuePlasma Processes and Polymers · 2012
Typearticle
Languageen
FieldChemistry
TopicAntimicrobial agents and applications
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsX-ray photoelectron spectroscopyFourier transform infrared spectroscopyEthyleneOxygenPolymerMaterials scienceNuclear chemistryPolymer chemistryChemistryChemical engineeringOrganic chemistryComposite materialCatalysis

Abstract

fetched live from OpenAlex

Abstract Low‐pressure plasma‐polymerized ethylene film coatings rich in bonded oxygen groups (L‐PPE:O) were deposited on poly(ethylene terephthalate; PET) in order to act as hosts for antimicrobial drugs. Increasing O2 content in the ethylene (C2H4)/Ar–diluted oxygen (O2) gas mixture reduced the deposition rate, but increased the concentration of bonded oxygen, [O], including that of carboxylic acid groups, [COOH], as determined by X‐ray photoelectron‐ (XPS) and Fourier transform infrared (FTIR) spectroscopies, and by toluidine blue O (TBO) assays. L‐PPE:O coatings took up and sustained the release of ciprofloxacin for several hours. Steric hindrance impeded vancomycin penetration into the cross‐linked L‐PPE:O coatings. Ciprofloxacin‐loaded L‐PPE:O coatings inhibited in vitro the growth of Staphylococcus aureus. Deposition of L‐PPE:O on medical devices may endow them with ability to prevent nosocomial infections. magnified 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.223
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), 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

Citations35
Published2012
Admission routes1
Has abstractyes

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