Recent advances on antimicrobial peptide and polysaccharide hydrogels
Bibliographic record
Abstract
The three-dimensional structure and network that compose naturally or synthetically derived polymers, such as hydrogels, allow for a wide variety in customization of the biomaterial characteristics, thus resulting in various applications. In medical care, hydrogels formed by intrinsic or exogenous antimicrobial components can act as effective vehicles for the administration of drugs and bioactive compounds, as alternatives to traditional wound dressings, and as antimicrobial coatings on implanted medical devices. In food safety, hydrogels with antimicrobial properties are desirable as food spoilage inhibitors. There has been a recent heightened focus on naturally derived hydrogels, due to their cost effectiveness and lack of concern for toxicity, which enhance their potential for a variety of food and biomedical applications. This concise review focuses on the recent advances of naturally derived peptide and polysaccharide antimicrobial hydrogels in the biomedical and food industries.
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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 | 0.000 | 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 | 0.000 |
| 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".