Maintaining microbial control in cleanroom environments is a cornerstone of biopharmaceutical manufacturing, ensuring the safety and sterility of high-value therapeutic products. Conventional environmental monitoring techniques, including settle plates and active air sampling, are often limited by delayed results and the inability to detect viable but non-culturable (VBNC) organisms. As regulatory expectations evolve alongside advances in bioprocessing, there is a critical need to validate and integrate rapid molecular-based microbial monitoring approaches that can enhance real-time contamination detection and process control. This study evaluates the performance of qPCR-based microbial detection, ATP bioluminescence assays, and 16S rRNA sequencing as alternatives and complements to traditional culture-based methods in ISO-classified cleanrooms. Cleanroom surface and air samples were collected across multiple critical zones in a commercial biopharmaceutical facility. Parallel analysis using both classical and molecular methods was conducted to assess detection sensitivity, specificity, response time, and operational feasibility. Results demonstrate that molecular techniques detected a broader range of microbial taxa, including fastidious and stressed organisms not captured by culture. qPCR assays enabled quantification within 2–3 hours, while 16S profiling provided taxonomic resolution useful for source-tracking and contamination mapping. Validation data showed strong correlation between rapid methods and traditional counts in controlled inoculation studies, meeting regulatory thresholds for alternative method acceptance per USP <1223> and PDA TR33 guidelines. Implementation of these tools reduced time-to-intervention and supported continuous process verification (CPV). The findings support integrating molecular tools into environmental monitoring programs for enhanced microbial risk management in biopharmaceutical production.
@artical{c1322024ijcatr13021007,
Title = "Validation of Cleanroom Microbial Monitoring Techniques Using Rapid Molecular Methods In Biopharmaceutical Production",
Journal ="International Journal of Computer Applications Technology and Research (IJCATR)",
Volume = "13",
Issue ="2",
Pages ="58 - 74",
Year = "2024",
Authors ="Chiamaka Francisca Igweonu"}