Dissolution Enhancement and Physicochemical Characterization of Valsartan in Solid Dispersions with β-CD, HP β-CD, and PVP K-30
Why this work is in the frame
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Bibliographic record
Abstract
Solid dispersions (SDs) and physical mixtures (PMs) of valsartan in -cyclodextrin (-CD), hydroxypropyl -cyclodextrin (HP -CD), and polyvinyl pyrollidone (PVP K-30) were prepared to increase its solubility characteristics. The drug formulations were characterized in the solid state by Fourier transform infrared spectroscopy (FTIR) and differential scanning calorimetry (DSC). By these physical determinations, drug-polymer interactions were found. Both the solubility and the dissolution rate of the drug in these formulations were increased. Drug contents were determined by UV spectrophotometry at a max of 249.5 nm. The phase solubility behavior of valsartan in various concentrations of -CD, HP -CD, and PVP K-30 (0.25-1.0% w/v) in distilled water was obtained at 37 2 C. The dissolution of valsartan is increased with increasing amounts of the hydrophilic carriers (i.e., -CD, HP -CD, and PVP K-30). Gibbs free energy (G o tr ) values were all negative, indicating the spontaneous nature of valsartan solubilization. The SDs of valsartan with -CD and HP -CD were prepared at 1:1, 1:3, and 1:5 drug/carrier ratios by a kneading method, and PVP K-30 SDs were prepared at the same ratios (i.e., 1:1, 1:3 and 1:5 drug/carrier) by a lyophilization technique. The FTIR spectroscopic studies show the stability of valsartan and the absence of well-defined drug-polymer interaction. Compared with -CD, HP -CD showed better enhancement of dissolution rate; compared with HP -CD, PVP K-30 showed better solubility and dissolution enhancement.
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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 | 0.001 |
| 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