Modernizing Growth Promotion Testing using APAS^® Independence: Poster Presented at PDA Week 2026

Area of Science:

• Microbiology
• Environmental Monitoring
• Laboratory Automation

Background:

• Agar-based methods are essential for detecting microorganisms in cleanrooms.
• The Growth Promotion Test (GPT) is a regulatory requirement for culture media batch verification.
• Manual colony enumeration in GPT introduces variability and potential for error.

Purpose of the Study:

• To explore the application of AI and advanced imaging for streamlining GPT workflows.
• To enhance accuracy and efficiency in microbial colony counting.
• To improve traceability and performance trending in cleanroom monitoring.

Main Methods:

• Utilizing the APAS Independence system with artificial intelligence (AI) and advanced imaging.
• Automating colony enumeration to mitigate manual counting inaccuracies.
• Integrating results with Laboratory Information Management Systems (LIMS).

Main Results:

• AI-powered system mitigates inaccuracies from lighting, plate markings, and user fatigue.
• Consistent and auditable results are achieved, enhancing data reliability.
• Improved traceability and support for long-term performance trending.

Conclusions:

• The APAS Independence system modernizes GPT by leveraging AI for accurate and efficient microbial detection.
• The technology ensures compliance with regulations like 21 CFR Part 11.
• It provides a valuable tool for enhancing quality control in cleanroom environments without disrupting existing procedures.