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Record W1995564951 · doi:10.1002/macp.201200251

Surface Engineering of Poly(ethylene terephthalate) for Durable Hemocompatibility via a Surface Interpenetrating Network Technique

2012· article· en· W1995564951 on OpenAlexaff
Jiang Li, Francis Lin, Lingdong Li, Jing Li, Song Liu

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2012
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsHeparinNuclear chemistrySurface modificationMaterials scienceAdhesionFourier transform infrared spectroscopyPlatelet adhesionPolymer chemistryInertLeaching (pedology)Covalent bondSubstrate (aquarium)ChemistryBiomedical engineeringChemical engineeringComposite materialOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Abstract Heparin was covalently bonded on chemically inert PET substrate using a surface modification technique–surface interpenetrating network with the purpose of fabricating long‐lasting biocompatible materials as vascular grafts. FTIR and XPS spectra confirmed the successful heparinization of PET (PET‐Hep). The density of surface‐immobilized heparin as quantified by a colorimetric method could reach 2.4 μg cm −2 (in the reported optimal range: 1.5–3.0 μg cm −2 ). The hemocompatibility of the heparin‐immobilized PET was improved as evidenced by a platelet adhesion test: significantly less platelet adhesion on PET‐Hep (11.60%) than on untreated PET (48.91%). An MTT assay indicated PET‐Hep was nontoxic to human dermal fibroblast cells. After an initial 5.24% loss of heparin from PET‐Hep in the first 14 h immersion in PBS buffer solution, no further leaching of heparin was found.

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 score0.218
Threshold uncertainty score0.734

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 head0.007
GPT teacher head0.235
Teacher spread0.228 · 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

Citations21
Published2012
Admission routes1
Has abstractyes

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