Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 8, 2026Aerosol and Air Quality ResearchOpen Access

Evaluating Clean Room Performance in the Pharmaceutical Industry: A Numerical and Experimental Investigation Based on ISO 14644–3 Standards

View Full Paper
Ask AI
Bookmark
Share

Authors

RYRasoul YarahmadiZDZabiholah DamiriAhvaz Jundishapur University of Medical SciencesMDM.-M. DarvishiPayame Noor University

Discussion

Loading...

Member takes

Overview

This investigation evaluates clean room performance in pharmaceuticals, indicating compliance with cleanliness standards.

Key Points

  • The aim is to assess the operational performance of pharmaceutical clean rooms using experimental methods and simulations.
  • Conducted experimental tests on airflow and particle distribution in clean rooms.
  • Utilized Computational Fluid Dynamics (CFD) for modeling airflow patterns and air quality.
  • Measured key parameters: airflow velocity, temperature, and relative humidity based on ISO 14644-3 standards.
  • Tested HEPA filters for leakages and filtration efficiency.
  • All environmental parameters met acceptable standards for clean rooms.
  • Out of 27 HEPA filters, 3 were found leaking, while 24 had 99.997% filtration efficiency.
  • Particle counting confirmed all clean rooms achieved the required cleanliness grade per ISO 14644-3, with airborne particles within standard limits.

Cite This Study

Yarahmadi et al. (2026) studied this question.

synapsesocial.com/papers/69ada892bc08abd80d5bba80https://doi.org/10.1007/s44408-026-00101-w
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Experimental investigation into cleanroom contamination build-up when applying reduced ventilation and pressure hierarchy conditions as part of demand controlled filtration2020 · 38 citations
  2. 2Performance of mechanical filters used in general ventilation against nanoparticles2020 · 7 citations
  3. 3Inertial Classification of Nanoparticles with Fibrous Filters2007 · 67 citations