RP-HPLC Method for Simultaneous Quantification of Withanolides in <i>Withania somnifera</i>
Bibliographic record
Abstract
Background: Withanolides are the primary bioactive components of Withania somnifera (L.) Dunal. Among them, withanolide A, and 12-deoxy-withastramonolide are the herb’s most physiologically active ingredients. The steroidal lactones are isomers, which makes them difficult to separate. Aim: In the current research, a simple, precise, accurate, and decent RP-HPLC method has been developed, optimised and validated for simultaneous quantification and separation. Methods: Resolution was conducted on Gemini, Phenominex C18 (250mm X 4.6mm, 5 μ) column at 40oC utilising binary mobile phases of acetonitrile and ammonium acetate (10 mM) in gradient mode with 1.0 mL/min flow rate and observed at 230 nm. The total run time was twenty-five minutes. The procedure complied with ICH guidelines, covering the limit of detection, specificity, linearity, quantification, precision, accuracy, and robustness. Results: The standard curves of both relevant analytes displayed a linear pattern with regression values > 0.999 in the 1–10 μg/mL range. For both herbal markers, 1 μg/mL was the lowest limit of quantification. The method’s accuracy was 100.38-100.93 % and 99.13-100.75 % for with withanolide A, and 12-deoxy-withastramonolide respectively. The precision of within and between days was found in the tolerable limit of >2% for both herbal markers. Conclusion: The suggested method worked well for simultaneously analyzing the extracted samples and identifying withanolides.
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How this classification was reachedexpand
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".