A Hydrogel with Low‐Temperature Photothermal Therapy and ROS Scavenging Capability for Healing Infected Diabetic Wound
Bibliographic record
Abstract
Abstract Photothermal therapy (PTT) in antimicrobial treatment of diabetic wounds faces the challenge of damaging normal tissues with high temperatures. In this study, mesoporous polydopamine (MPDA) as the core, encapsulated by Zeolitic Imidazolate Framework‐8 (ZIF‐8) shell, and loaded with berberine (BBR) are used to fabricate MPDA@ZIF‐8/BBR core–shell nanoparticles (NPs). Then, those NPs are incorporated into hydrogels formed by reacting carboxymethyl chitosan (CMCS) with oxidized hyaluronic acid (OHA) via Schiff base chemistry, creating a photothermal nanocomposite hydrogel capable of scavenging ROS (Gel‐ MPDA@ZIF‐8/BBR). The hydrogel achieves low‐temperature PTT antimicrobial activity by controlled degradation under the weak acidic conditions of the bacterial infection microenvironment and simultaneous release of BBR and Zn 2 ⁺, combined with the mild photothermal effect of MPDA. The released BBR synergistically enhances the photothermal effect by inhibiting bacterial community sensing, effectively disintegrating the bacterial biofilm. More importantly, the composite hydrogels showed good biocompatibility, effectively inhibited the wound inflammatory response, and significantly accelerated wound healing, which achieved low‐temperature PTT antibacterial therapy and has the potential to treat diabetic‐infected chronic wounds.
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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 | 0.000 | 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".