Development and Validation of a RP-HPLC Method for Simultaneous Quantification of Paracetamol and Phenylephrine Hydrochloride
Bibliographic record
Abstract
A rapid, accurate, and sensitive method for the simultaneous quantification of paracetamol and phenylephrine hydrochloride was developed using RP-HPLC. The procedure utilized a NUCLEODUR C18 separating column (250 4.6 mm id) with a flow rate of 0.8 mL/min and a column temperature of 25. The detector wavelength was set at 234 nm, and the injection volume was 20 L. The mobile phase consisted of a mixture of acetonitrile and buffer solution (45 mM orthophosphoric acid, and the pH was adjusted to 6 using a 10% (w/v) sodium hydroxide solution) in a 52:48 v/v ratio. The method was validated with recovery percentages ranging from 99.36 to 105% for paracetamol and 99.78 to 100.8% for phenylephrine. The correlation coefficients were 0.9999 for both compounds, with linearity ranges of 2-100 g/mL for paracetamol and 5-80 g/mL for phenylephrine. This method has been successfully applied to the simultaneous quantification of these drugs in pharmaceutical preparations available in the local market.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".