Enhancing Confidence in Cleanroom Air Sampling Validation by Bridging ISO Standards with the ARMM Framework: Poster

Corina Keller1

  • 1MBV AG corina.keller@mbv.ch.

Insights

This study enhances portable air sampler validation for pharmaceutical cleanrooms by integrating Alternative or Rapid Microbiological Methods (ARMM) criteria into ISO standards. This improves the reliability of microbial monitoring in real-world manufacturing settings.

Area of Science:

  • Pharmaceutical Manufacturing
  • Microbiology
  • Quality Control

Background:

  • Ensuring GMP-compliant cleanrooms requires reliable airborne microbial contamination monitoring.
  • Existing ISO standards (EN ISO 14698, EN 17141) for air sampler validation may not fully represent production conditions.
  • Methodological robustness in air sampling validation needs enhancement.

Purpose of the Study:

  • To strengthen the validation of portable air samplers used in pharmaceutical cleanrooms.
  • To integrate Alternative or Rapid Microbiological Methods (ARMM) criteria into conventional ISO-based validation.
  • To improve the assessment of air sampler performance under real-world cleanroom conditions.

Main Methods:

  • Incorporated ARMM criteria (ruggedness, robustness, equivalence, specificity) from Ph. Eur. 5.1.6, USP <1223>, and PDA TR 33.
  • Applied an integrative validation approach combining ISO standards and ARMM principles.
  • Validated a portable air sampler in a real-world cleanroom setting in collaboration with Hoffmann-La Roche AG.

Main Results:

  • Demonstrated the practical application of ARMM criteria in enhancing air sampler validation.
  • Showcased an integrative methodology for more robust cleanroom monitoring.
  • Provided a framework for improved confidence in air sampler performance assessments.

Conclusions:

  • ARMM criteria significantly enhance the reliability of microbial monitoring in pharmaceutical cleanrooms.
  • The integrative approach supports more robust and practical cleanroom validation strategies.
  • This methodology offers a pathway to more dependable airborne contamination assessments in manufacturing.