Controlled PVA Release from Chemical–Physical Interpenetrating Networks to Treat Dry Eyes
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Dry eye disease is becoming increasingly prevalent, and lubricating eye drops, a mainstay of its treatment, have a short duration of time on the ocular surface. Although there are various drug delivery methods to increase the ocular surface residence time of a topical lubricant, the main problem is the burst release from these delivery systems. To overcome this limitation, herein, a chemical–physical interpenetrating network (IPN) was fabricated to take control over the release of poly(vinyl alcohol) (PVA), a well-known therapeutic agent used to stabilize tear film, from gelatin methacrylate (GelMA) hydrogels. In this report, PVA was specifically used as part of a GelMA-based polymeric hydrogel owing to its physical cross-linking ability via a simple freeze-thaw method. The interpenetrating polymer network was fabricated in a sequential manner where GelMA was chemically cross-linked by photo-cross-linking, followed by physical cross-linking of PVA using a relatively short freeze-thaw cycle. Interestingly, upon applying only one short freeze-thaw cycle (of 1 or 2 h), the crystalline domains in PVA were increased in the interpenetrating network. The endothermic peaks at 48 and 60 °C in differential scanning calorimetry (DSC) thermograms and 20°–2θ peaks in X-ray diffraction (XRD) patterns suggest the presence of these crystalline domains. With the help of a suite of characterization, we further delineate the role of freeze-thaw cycles in taking control over the release of PVA. The release profiles of the PVA-containing hydrogels showed highest linearity with the Korsmeyer–Peppas model (0.9944 < R 2 < 0.9952), indicating that these systems follow non-Fickian or anomalous transport.
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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) | 0.000 | 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".