Spectrophotometric Determination of Zinc in Pharmaceutical Medication Samples Using 8-Hydroxyquinoline Reagent
Bibliographic record
Abstract
Simple, rapid, cheap and sensitive spectrophotometric method has been described for the determination of zinc in pharmaceutical samples. The method is based on the formation of zinc- 8-Hydroxy quinoline chelate, the maximum absorption (lmax) at 384 nm. The method obeyed Beer's law in the range 1-5 mg/mL and the corresponding molar absorptivity value is 0.01578 ´ 103 L.mol-1.cm-1. The Sandell sensitivity values of limits of detection (LOD) and quantification (LOQ) was 0.381mg/mL and 1.156 mg/mL respectively. The recovery percentage of zinc was found 98.00 %, 98.96 %,99.91%, 97.50%, 98.5% and 99.30 % for (Capsule-13 mg), (Tablet-20 mg), (Tablet-40 mg),(Capsule-50 mg), (Capsule-50 mg) and (insulin vial-0.025 mg) respectively. All variable parameters has been optimized according to ICH guidelines. The limiting concentrations of some cations for interference by Mn(II), Fe(II), Co(II), Ni(II), Cu(II), Cd(II),Sn(II) ,Pb(II), Mg(II), Ca(II) and Ba(II) are reported. The method accuracy was established by comparison with conventional flame atomic absorption spectrometric method by using t-test, ttab.= 2.571, tcal. =0.3231 at 95% confidence level, indicating the absence of systematic errors.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".