Formulation Development for ER Tablets of Furosemide with Statistical Optimization and Characterization by RSM Factorial approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aim of this research was to formulate extended-release Furosemide tablets using Polylacticcoglycolic acid (PLGA) and Hydroxy Propyl Methyl Cellulose (HPMC) polymers. The wet granulation method was employed in the preparation, and a 32 Response Surface Methodology (RSM) factorial design was utilized, yielding a total of nine formulations (F1 to F9). The formulations were then subjected to thorough evaluation, which included assessing their physical parameters such as weight variation, hardness, friability, and thickness, as well as drug content and in vitro release profiles. All formulations conformed to the standards set forth by the Pharmacopoeia. The in-vitro dissolution experiments were performed utilizing the USP dissolution apparatus type-II (paddle method). Analyzing the dissolution profiles, formulation F1 emerged as the most optimal, showing the best extended-release profile.
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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