Literature DB >> 33156342

Application of Measurement Uncertainty on Conformity Assessment in Pharmaceutical Drug Products.

Renan Simabukuro1, Noh Ah Jeong1, Felipe Rebello Lourenço1.   

Abstract

BACKGROUND: Conformity assessment in pharmaceutical drug products usually are based on analytical results. An analytical result always is associated with an uncertainty which must be considered in a compliance assessment.
OBJECTIVE: The objective of the present project aims to estimate the measurement uncertainty associated with the results of average weight, assay, uniformity of content, and dissolution testing in ranitidine tablets manufactured by two different companies (X and Y).
METHODS: The uncertainty was evaluated using the Monte Carlo method. The particular and total risks of false acceptance decisions (consumers' risks) were also estimated by the Monte Carlo method.
RESULTS: The results for ranitidine tablets manufactured by company X were (359.2 ± 2.7) mg of average weight, (108.6 ± 1.6)% of assay, (11.4 ± 2.8) of acceptance value for uniformity of content, and (89.4 ± 1.3)% for dissolution testing. The results for company Y were (312.5 ± 0.9) mg, (107.0 ± 1.4)%, (7.2 ± 1.7), and (93.6 ± 1.3)%, respectively. A 95% confidence level was adopted. According to results obtained from the Monte Carlo simulations, the results of average weight, assay of ranitidine, and uniformity of content are significantly correlated due to shared analytical steps. The correlation between values significantly affected the risk of false decisions.
CONCLUSIONS: Consumers' risks were estimated for both ranitidine tablets and their results ensure compliance for ranitidine tablets manufactured by companies X and Y. HIGHLIGHTS: The use of measurement uncertainty is an important issue regarding the conformity/non-conformity assessment of pharmaceutical products. © AOAC INTERNATIONAL 2020. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Year:  2021        PMID: 33156342     DOI: 10.1093/jaoacint/qsaa151

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  1 in total

1.  Risk Assessment in Monitoring of Water Analysis of a Brazilian River.

Authors:  Luciene Pires Brandão; Vanilson Fragoso Silva; Marcelo Bassi; Elcio Cruz de Oliveira
Journal:  Molecules       Date:  2022-06-06       Impact factor: 4.927

  1 in total

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