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Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies
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Published on: March 17, 2023

Quantitative risk modeling in aseptic manufacture.

Edward C Tidswell1, Bernard McGarvey

  • 1Sterility Assurance Leader, Eli Lilly & Co., Indianapolis, IN 46221, USA. tidswell_edward@lilly.com

PDA Journal of Pharmaceutical Science and Technology
|November 9, 2006
PubMed
Summary

Quantitative risk modeling with Monte Carlo simulations offers a faster, more accurate way to assess aseptic manufacturing risks. This innovative approach reduces assumptions and subjectivity for improved product quality assurance.

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Area of Science:

  • Pharmaceutical Manufacturing
  • Risk Assessment
  • Microbial Contamination Control

Background:

  • Current risk assessments for aseptic manufacturing often suffer from assumptions and subjectivity, leading to inaccurate results.
  • There is a need for more efficient and precise methods for evaluating risks in aseptic processes.

Purpose of the Study:

  • To introduce quantitative risk modeling (QRM) with Monte Carlo simulations as an improved method for aseptic process risk assessment.
  • To describe the steps and requirements for assessing bioburden ingress risk in aseptic manufacturing.

Main Methods:

  • Utilized quantitative risk modeling integrated with Monte Carlo simulations.
  • Applied the technique to assess the risk of bioburden ingress during aseptic filling of a parenteral product.

Main Results:

  • The case study demonstrated that QRM and Monte Carlo simulations provide a more rapid and accurate determination of bioburden ingress risk.
  • This method reduces reliance on assumptions and subjectivity, yielding more realistic risk estimates.

Conclusions:

  • Quantitative risk modeling with Monte Carlo simulations offers a novel, efficient, and more realistic approach to aseptic manufacturing risk assessment.
  • The technique has broader applications in batch disposition, cleanroom management, and real-time microbial monitoring.