Electrospun textiles from decellularized bovine pericardium and polyvinyl alcohol (PVA) supporting blood coagulation: innovative approach in biomaterials for research purposes
Bibliographic record
Abstract
Introduction: Current hemostatic agents face several limitations, including reduced effectiveness in controlling massive bleeding or preventing thrombogenic events. Functional bleeding control could allow time for further treatment and decrease mortality rates. Using suitable hemostatic agents may improve surgical outcomes by eliminating avoidable complications. Among all the patches available on the market, nanofibrous materials offer several advantages, among which the possibility to be properly designed in order to meet specific requirements related to bioactivity and biodegradability. Different patch formulations to support blood clotting are characterized in the present study. Methods: The approach used is based on electrospun decellularized bovine pericardium (dECM) blended or layered with polyvinyl alcohol (PVA) and crosslinked by (3-Glycidyloxypropyl)trimethoxysilane (GPTMS). Scanning electron microscopy and energy-dispersive X-ray spectroscopy were used in order to characterize the scaffold's morphology and chemical composition. Mechanical properties were evaluated using a tensile stress test, while wettability was measured using contact angle analysis. The electrospun textiles' surface interaction with whole blood and platelet rich plasma (PRP) was also examined. Thromboelastography (TEG) and in vitro clotting assays were performed in order to evaluate the clot formation, while flow cytometry was used to verify platelet activation. Finally, in order to evaluate the biological response to the degradation by-products of the electrospun textiles, cell viability was characterized through an indirect toxicity test using primary normal human dermal fibroblast (NHDF) as experimental model. Results and Discussion: Overall, the nanofibers-based textiles, optimized through blending and layering of dECM and PVA, successfully support stable clots. These biomaterials represent a valuable starting point for future research aimed to nanofibers'functionalization according to the desired application.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".