Surface modification of polydimethylsiloxane with a covalent antithrombin–heparin complex to prevent thrombosis
Bibliographic record
Abstract
To prevent coagulation in contact with blood, polydimethylsiloxane (PDMS) was modified with an antithrombin-heparin (ATH) covalent complex using polyethylene glycol (PEG) as a linker/spacer. Using NHS chemistry, ATH was attached covalently to the distal chain end of the immobilized PEG linker. Surfaces were characterized by contact angle and X-ray photoelectron spectroscopy; attachment was confirmed by decrease in contact angles and an increase in nitrogen content as determined by X-ray photoelectron spectroscopy. Protein interactions in plasma were investigated using radiolabeled proteins added to plasma as tracers, and by immunoblotting of eluted proteins. Modification of PDMS with PEG alone was effective in reducing non-specific protein adsorption; attachment of ATH at the distal end of the PEG chains did not significantly affect protein resistance. It was shown that surfaces modified with ATH bound antithrombin selectively from plasma through the pentasaccharide sequence on the heparin moiety of ATH, indicating the ability of the ATH-modified surfaces to inhibit coagulation. Using thromboelastography, the effect of ATH modification on plasma coagulation was evaluated directly. It was found that initiation of coagulation was delayed and the time to clot was prolonged on PDMS modified with ATH/PEG compared to controls. For comparison, surfaces modified in a similar way with heparin were prepared and investigated using the same methods. The data suggest that the ATH-modified surfaces have superior anticoagulant properties compared to those modified with heparin.
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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".