Extraction-Spectrophotometric Determination of Lidocaine Hydrochloride in Pharmaceuticals
Bibliographic record
Abstract
Simple, selective and highly detectable spectrophotometric method has been developed and validated for the determination of Lidocaine hydrochloride in standard and commercial solutions .The method is based on the formation of a soluble colored Lidocaine hydrochloride-eriochrome black T ion-pair complex at pH 1.80. The colored complex was extracted quantitatively into chloroform and measured at 508 nm. Beer’s law was obeyed in the concentration range of 0.10-10 mg L -1 with molar absorptivity of 2.3623 x104 L mol-1 cm-1.The limits of detection and quantification were 0.024 mg L -1, and 0.100 mg L -1 respectively. Using Job’s continuous variations method, the stoichiometry of the ion-pair complex was found to be 1:1. Intra-day accuracy and precision of the method were estimated with a relative error (0.57%), and the relative standard deviation (0.25-1.23). This developed method has been successfully employed to determine concentration of Lidocaine hydrochloride in injection and spray without interference by the common co-formulated substances.The numerical results obtained using both proposed and official methods were in concordance with each other.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".