Bibliographic record
Abstract
The aim of this study is to compare the initial interactions of Enterococcus faecalis, an uropathogen responsible for catheter-associated infections, with different polymers including polytetrafluoroethylene (PTFE), high-density polyethylene (HDPE), polyurethane (PU), and polymethylmethacrylate (PMMA), which are widely used for the fabrication of medical devices and artificial organs. To follow the kinetics E. faecalis adhesion, polymer samples were incubated at 37°C in bacterial solution, removed from this solution at pre-determined times, and then bacterial concentration on the surface was obtained. Moreover surface hydrophobicity, surface free energy, and surface roughness of the polymers were studied to investigate the parameters influencing bacterial adhesion. Preliminary results of the adhesion kinetics studies suggest that bacteria adhere quickly to the polymer surface independent of polymer composition; the adhesion occurs during the first 45 minutes. Although bacterial adhesion to PMMA occurred as quickly as to the other polymers, elapsed-time studies showed that PMMA seems to be more resistant to E. faecalis adhesion. Contact angle and surface free energy measurements showed that E. faecalis adhesion was lowest on the most hydrophilic and the most energetic surface. Further studies are required to determine if a correlation exists between surface characteristics and E. faecalis adhesion. AFM analyses indicated that all polymers possess a smooth surface with a mean roughness in the range of nanometres. This study suggests that the influence of the bulk properties of these materials is more significant than their surface roughness on bacterial adhesion.
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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".