‍Abstract: Microbiological methods remain deeply rooted in traditional practices and new technologies are being considered to improve the agility, accuracy, consistency, and data integrity within pharmaceutical laboratories. One such technology, APAS PharmaQC, is an autonomous plate reader that uses artificial intelligence to detect microbial growth on environmental monitoring plates without any significant change to ways of working.

Pilot primary validation with a suite of model organisms has demonstrated levels of performance for Linearity, Accuracy, Ruggedness, Precision, and Limit of Detection that are in line with compendial guidelines.

These data demonstrate that APAS PharmaQC can provide benefits to pharmaceutical laboratories conducting environmental monitoring.

‍White Paper

Date: September 2023

‍Authors: Giglio, S., Winson, J., and Hill, R.

‍Citation: Giglio, S., Winson, J., and   Hill, R. 2023.Preliminary performance testing of the APAS®  Independence with APAS® PharmaQC artificial intelligence system for  environmental monitoring in sterile manufacturing. White Paper. Sep 23.