Development of Spectrophotometric Method for the Determination of Atenolol in Normoten Drug
Bibliographic record
Abstract
This research aimed to develop inexpensive, safe, rapid, efficent spectrophotometric method for the assay of atenolol in some antihypertensive drugs namely Normoten in its pharmaceutical formulation. The studied method is depend on the reaction of the drug with phenol red in acidic medium, at pH 3.0. The analytical parameters have been investigated. The maximum absorbance was obtained at 429 nm and the molar absorptivity of 0.054 L mol-1 cm-1. Beer’s law is linear in the concentration range of 0.5-100 μg/mL for atenolol in Normoten. The detection and quantification limits were found to be 0.038 and 0.113μg/mL for the atenolol in Normoten respectively, and with a linear regression correlation coefficient of 0.997. The recovery was found to be 98.94 to 100.31%. The studied method is can be applied for the determination of atenolol (active ingredient) of the antihypertensive drugs in their pharmaceutical formulations.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".