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Record W2142942860 · doi:10.1109/tps.2008.2010706

Atmospheric Pressure Plasma Jet Deposition of Patterned Polymer Films for Cell Culture Applications

2009· article· en· W2142942860 on OpenAlexaff
Mathieu Leduc, Sylvain Coulombe, Richard L. Leask

Bibliographic record

VenueIEEE Transactions on Plasma Science · 2009
Typearticle
Languageen
FieldMedicine
TopicPlasma Applications and Diagnostics
Canadian institutionsMontreal Heart InstituteMcGill University
Fundersnot available
KeywordsArgonPlasmaNozzleMaterials scienceAnalytical Chemistry (journal)PolymerAcetyleneJet (fluid)ChemistryAtomic physicsPhysicsChromatographyComposite materialOrganic chemistryNuclear physics

Abstract

fetched live from OpenAlex

A miniature nonthermal atmospheric plasma jet was used to deposit patterns of plasma polymers on standard Pyrex Petri dishes from an argon/acetylene gas mixture. The injection of the C2H2monomer through the powered capillary electrode ending in the nozzle section allowed a stable operation of the plasma jet and the successful deposition of plasma-polymer tracks ap500 mum wide. The line-averaged gas temperature was measured from the OH molecular band emission originating from the entrainment of air into the plasma jet. The gas temperature decreased monotonically from ap440 K at the nozzle exit to ap385 K at 5 mm downstream. The emission profiles of the C2(516 nm) band showed a peak ap0.5 mm downstream the nozzle exit. The maximum emission for the CH band (431 nm) was obtained at the torch exit. An ATR-FTIR spectroscopy analysis of the deposited plasma-polymer films revealed the presence of C-H, O-H, and C = O functional groups. Mammalian cells grown on the argon/acetylene plasma-treated dishes showed migration and greater density compared to the control and dishes treated with an argon plasma jet. This preliminary study opens the door to the localized enhancement of cell coverage on various substrates (shape and material).

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 score0.004

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)0.0010.001

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 head0.254
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 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

Citations28
Published2009
Admission routes1
Has abstractyes

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