Bibliographic record
Abstract
Objective: The present research aims towards studying the formulation and evaluation of Riboflavin-2-hydroxypropy-β-cyclodextrin complexes in increasing its stability and dissolution which is susceptible to degrade in the presence of light.The present research focuses on the formulation and comprehensive evaluation of Riboflavin-2-hydroxypropyl-β-cyclodextrin (HPβCD) complexes to enhance the stability and dissolution profile of riboflavin, a water-soluble vitamin (Vitamin B2) that is highly susceptible to photodegradation. Riboflavin undergoes rapid degradation when exposed to light, leading to reduced bioavailability and therapeutic efficacy.Materials and Methods: Riboflavin-2-hydroxypropy-β-cyclodextrin complexes in three ratios 1:1, 1:2 and 2:1 were prepared by kneading method and characterized by FT-IR, DSC and XRD. the pure drug and inclusion complex formulation were simultaneously subjected to accelerated photostability studies according to Q1B ICH 1996 guidelines. The samples were withdrawn in duplicate every day for seven days and were analyzed for the quantitative estimation of riboflavin by UV visible spectrophotometer method and the results were compiled.Result and conclusion: After the seventh day the percentage drug degraded in the 1:1complexes at 25˚C, 40˚C and 4˚C was 54.15%, 37.03%, and 67.77% respectively. In the end of seventh day pure drug at 25˚C, 40˚C and 4˚C degraded to was 24.05%, 18.35%, and 29.14%. The photo degradation follows1st order kinetics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".