Surface Engineering of Poly(ethylene terephthalate) for Durable Hemocompatibility via a Surface Interpenetrating Network Technique
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".