Modification of the properties of a suture thread with a tough gel coating: A baseline ex‐vivo study
Bibliographic record
Abstract
The mechanical properties of sutures are important for wound closure and meniscus repair. A tough gel coating technology has been developed to modify and functionalize sutures, but its effects on suture degradation remain unexplored. Our aim is to investigate how a tough gel coating mediates the properties of the suture. The Polyglactin910 (Vicryl) suture was chosen because it is widely used, strong, easy to handle, and degradable. This study compared six pristine Vicryl sutures and six coated Vicryl sutures at 0, 2, 4, and 6 weeks. All the sutures were soaked in phosphate-buffered saline (PBS), to mimic degradation in physiological conditions, and tensile strength was tested at each time point. The pH of the soaking mediums was measured weekly and compared at 4, 5, and 6 weeks. No significant difference (p = 0.059 and p = 0.576) was found between the absolute and normalized breaking force of coated and pristine Vicryl sutures at 0, 2, 4, and 6 weeks. After 4 weeks of immersion, the soaking medium became more acidic for both suture types. The decrease in pH was less significant for coated Vicryl sutures than for pristine ones (p < 0.001) at 4, 5, and 6 weeks of immersion. Although coating does not affect the strength of Vicryl sutures soaked in PBS, it can effectively act as a buffer to the acidic environment caused by suture degradation, which could help reduce inflammation. Hydrogel coating is a promising technology to modify suture characteristics.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".