Multifunctional mussel-inspired gelatin methacryloyl hydrogels for infection-sensitive applications
Bibliographic record
Abstract
Bacterial infections remain a major health concern, with early and accessible detection critical for effective intervention. Here, we introduce a multifunctional and biocompatible gelatin methacryloyl hydrogel designed for real-time visual monitoring and localized antimicrobial action. The system incorporates bromothymol blue (BTB) encapsulated within pH-responsive smart pigments, enabling a controlled colorimetric shift from yellow to blue in response to basic microenvironments generated by Gram-negative bacteria. In vitro studies using Escherichia coli validate the platform’s utility for rapid infection detection. Catechol functionalization enhances the hydrogel’s mechanical strength and mussel-inspired adhesion, supporting appropriate contact with infection-prone surfaces. As a proof of concept for therapeutic integration, zinc oxide (ZnO) nanoparticles were embedded to demonstrate the hydrogel’s capacity for antimicrobial agent loading and release. This integrated, easy-to-use material provides a promising strategy for simultaneous detection and treatment of bacterial infections, especially in resource-limited or point-of-care settings.
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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) | 0.000 | 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 | 0.000 |
| 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".