STRATEGY FOR VALIDATION OF NEW MYCOPLASMA NUCLEIC ACID DETECTION CLOSED SYSTEM AND IT USE IN ROUTINE...

Area of Science:

• Microbiology
• Biotechnology
• Pharmaceutical Manufacturing

Background:

• Mollicutes (e.g., mycoplasma species) are common, hard-to-detect bacterial contaminants in eukaryotic cell cultures.
• Contamination negatively impacts cell health, bioreactor yields, and in vitro test accuracy, necessitating robust detection methods.
• Traditional compendial mycoplasma testing methods are time-consuming, posing a challenge for short shelf-life products and efficient manufacturing.

Purpose of the Study:

• To propose recommendations and a validation path for a novel mycoplasma nucleic acid-based test, the BIOFIRE® Mycoplasma Test.
• To address the need for rapid, reliable mycoplasma detection in pharmaceutical manufacturing processes.
• To facilitate the adoption of nucleic acid amplification techniques (NATs) as alternatives to compendial methods.

Main Methods:

• Summarized discussions from pharmaceutical experts on method validation and suitability testing.
• Evaluated the BIOFIRE® Mycoplasma Test, a closed, fully automated "lab in a pouch" NAT system.
• Focused on recommendations for validating this new NAT for commercial drug product release.

Main Results:

• The BIOFIRE® Mycoplasma Test provides a fully automated NAT solution with minimal hands-on time and user skill requirements.
• This innovative test delivers results in approximately one hour, significantly reducing turnaround time compared to conventional methods.
• Key recommendations for the validation and suitability testing of the BIOFIRE® Mycoplasma Test were outlined.

Conclusions:

• The BIOFIRE® Mycoplasma Test offers a rapid and efficient alternative for mycoplasma detection in pharmaceutical manufacturing.
• Automated NAT systems like BIOFIRE® can overcome the bottlenecks associated with traditional mycoplasma testing.
• Successful validation of this test supports its use for lot release and in-process testing, enhancing product quality and manufacturing efficiency.