Multifunctional low temperature-cured PVA/PVP/citric acid-based hydrogel forming microarray patches: Physicochemical characteristics and hydrophilic drug interaction
Why this work is in the frame
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Bibliographic record
Abstract
The characteristics of multifunctional polymeric hydrogel-forming microarray patches based on poly(vinyl alcohol)/poly(vinylpyrrolidone)/citric acid composite crosslinked at 80 °C were investigated. The swelling study showed that this composite possesses a higher swelling degree than the same polymer heated at 130 °C due to a lower crosslink density, which was then confirmed by FTIR examination. Solid-state studies revealed that lower-temperature crosslinking does not provide enough energy for the polymer to rearrange itself into a crystalline form. However, this composite polymer was shown to possess acceptable mechanical strength to insert/penetrate into the skin. The patch can function both as a means to sample model hydrophilic drugs from the skin and to deliver them when combined with a melt-type polyethylene glycol reservoir. The hydrophilic interaction between the hydrogel and drugs was investigated. A drug with a higher diffusion coefficient, modelled by theophylline (diffusion coefficient = 16.17 × 10-6 cm2/s), can be delivered more efficiently than fluorescent sodium (diffusion coefficient = 2.32 × 10-6 cm2/s) or cyanocobalamin (diffusion coefficient = 7.31 × 10-6 cm2/s). This is mainly due to theophylline’s high permeability (permeability coefficient = 7.40 × 10-5 cm/s) and weak ability to interact with the hydrogel (coefficient of partitioning = 1.3). These results indicated that the diffusion coefficient could be a useful predictive parameter to determine the delivery efficiency of the system. Furthermore, the results provide insight into how to select a suitable hydrogel for drug monitoring or delivery involving hydrophilic compounds based on the hydrophilic interaction between the polymer and the drug.
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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 it