Development of antimicrobial polypeptide bioactive fluorinated surface modifiers for biofilm reduction
Bibliographic record
Abstract
Previous studies have demonstrated the ability of bioactive fluorinated surface modifiers (BFSMs) to co-deliver bioactive groups to the surface of a polycarbonate polyurethane (PCNU). In order to address the problem of medical device infections, it was the objective of this study to design cationic antimicrobial peptide (CAP) BFSMs, and test their biofilm-reducing abilities against Streptococcus mutans and Staphylococcus epidermidis, due in part to the latter peptides ability to kill a broad range of microorganisms at low concentrations and in a rapid manner. Dansyl labelled (*) CAPs, Bac8c (NH2-GGGK*GRIWVIWRR-CONH2) and Bac020 (NH2-GGGK*GRRAAVVLIVIRR-CONH 2), were attached to BFSM precursor molecules, and were shown to enrich the surfaces of PCNU films using 2-photon confocal microscopy. A 96-well plate safranin-staining assay was preformed, and demonstrated that both CAP-BFSMs were able to significantly reduce biofilm formation in a medium-dependent manner. This work demonstrates the potential of this approach as a coating strategy for reducing biomaterial-related infections.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".