Validation of Cleanroom Microbial Monitoring Techniques Using Rapid Molecular Methods In Biopharmaceutical Production
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.
Publication Details
- Journal
- International Journal of Computer Applications Technology and Research
- Published
- 2025-05-30
- DOI
- https://doi.org/10.7753/ijcatr1302.1007
- Citations
- 5
- Primary Topic
- Viral Infectious Diseases and Gene Expression in Insects
- Type
- article
- Field-Weighted Citation Impact
- 4.03