VALIDATED RP-HPLC METHOD FOR SIMULTANEOUS ESTIMATION OF ALISKIREN AND VALSARTAN IN TABLET DOSAGE FORM
Why this work is in the frame
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Bibliographic record
Abstract
A simple, precise and accurate stability indicating RP-HPLC method has been developed and Subsequently validated for simultaneous estimation of Aliskiren (ALN) and Valsartan (VAL) from their combination dosage form. Water’s HPLC equipped with UV-Visible and Diode Array detectors, with Empower -2 software was used. Column used was XTerra® RP8, 5 μm, 100 mm × 4.6 mm i.d., at ambient temprature.Mobile phase consisting of 0.05M Ammonium Acetate and 0.5% TEA buffer having pH 5.5and Acetonitrile in the ratio of 68:32 v/v at a flow rate of 1.0 mL/ min and UV detection was carried out at 238 nm and 271 nm for ALN and VAL, respectively. ALN, VAL and their combined dosage form were exposed to thermal, photolytic, oxidative, acid-base hydrolytic stress conditions, the stressed samples were analyzed by proposed method. Peak purity results suggested no other co-eluting, interfering peaks from excipients, impurities, or degradation products due to variable stress condition, and the method is specific for the estimation of ALN and VAL in presence of their degradation products and impurities within 6 minutes. The retention time of Aliskiren and Valsartan were 1.98 and 4.03 minutes respectively. The method was found linear over the range of 1-20 μg per ml for Aliskiren and 1.6-240 μg per ml for Valsartan. The proposed method was validated as per the ICH and USP guidelines.
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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 | 0.002 | 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