3PC-012 Content uniformity of sodium benzoate capsules: validation of a method using QcPrep®
Bibliographic record
Abstract
Background and Importance In response to the lack of paediatric formulation of sodium benzoate in the market, we have been producing 250mg capsules of pure active ingredient (AI), without excipients, intended for patients with urea cycle disorders. The AI content is verified via high-performance liquid chromatography spectrometry, but this method has limitations (high cost and limited availability). Aim and Objectives The objective of this study was to develop and validate a dosage method of AI to perform routine capsule content testing using UV/Raman spectrophotometry. Material and Methods After opening the capsule and dissolving the powder in sterile water, we used the QcPrep® automated system UV/Raman spectrophotometry for AI measurement and identification. The method validation was conducted according to ICH-Q2-R1 criteria. This consisted of six steps. 1) Search for the most relevant spectral band (maximum correlation between absorbance and linearity). 2) Linearity of the calibration curve was assessed between 2.5 and 50.0mg/mL through linear regression and validated if the correlation coefficient (r2) is > 0.999. 3) Repeatability was determined by repeating the analysis (n=6) for the routine dosage concentration (RDC: 25.0mg/mL) and validated if the coefficient of variation (CV) < 2%. 4) Intermediate precision was evaluated by repeating the analysis (n=3) on three different days for the RDC and validated if CV < 5%. 5) Accuracy was assessed at three concentrations, 75%, 100%, and 125% of the RDC (n=3 per concentration) and validated if the deviation was < 5% of the expected value. 6) Specificity was not assessed due to the exclusive composition of the capsules with the AI. Results The obtained results are as follows: The most relevant spectral band: 279 nm. Linearity: r2 was equal to 0.99993. Repeatability: CV=1.94%. Intermediate precision: CV=0,99%. Accuracy for 75%, 100%, and 125% of the RDC are 0.7%, 0.5%, and 1.1%, respectively. All criteria met the specified requirements. Conclusion and Relevance The method is validated: it has demonstrated linearity, repeatability, intermediate precision, and accuracy. The Qc-Prep® is user-friendly, fast, and reliable for the routine content uniformity control of our preparations. The implementation of this pre-release control will be continued for other preparations intended for multiple patients, thereby ensuring the safety of our preparations. References and/or Acknowledgements Conflict of Interest No conflict of interest.
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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 | 0.008 | 0.012 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".