Bacterial Polyesters for Biomedical Applications: In vitro and in vivo Assessments of Sterilization, Degradation Rate and Biocompatibility of Poly (β-hydroxyoctanoate) (PHO)
Bibliographic record
Abstract
Poly (β-hydroxyalkanoates) (PHAs) are bacterial polyesters with chemical and physical properties that make them suitable for medical applications. They are obtained by fermentation techniques, are biodegradable and may be metabolized into normal constituents of the body. A PHA produced by Pseudomonas oleovorans has generated a random copolymer called poly (β-hydroxyoctanoate) (PHO) having elastomeric properties and displaying lower crystallinity and less rigidity than poly (β-hydroxybutyrate) (PHB). As part of an extensive study, we compared the effects of two methods of sterilization on the physical and structural characteristics of PHO, studied the mechanism and degradation rate of PHO in vitro over a 24-month period in physiological media and finally, investigated the biocompatibility and degradation rate of PHO in vivo as a new sealant for the polyester arterial prosthesis. Results have shown that the physical and structural properties of PHO were well-preserved after ethylene oxide sterilization, whereas gamma radiation caused random chain scission and physical cross-linking. In vitro incubation studies demonstrated that the degradation rate of PHO films in water or isoosmotic PBS is a very slow hydrolytic process exceeding two years. In vivo, PHO showed good biocompatibility in terms of tissue enzymatic activity and cellular reactions. Degradation was slow and exhibited similar rate as that observed in vitro. As a sealant in a polyester arterial prosthesis, PHO contributed to the impermeabilization of the graft wall and to the development of an internal collagenous capsule with a confluent endothelium secreting prostacyclin.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.001 |
| 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".