Related Experiment Video
Updated: Dec 28, 2025

Enhanced Reproducibility and Precision of High-Throughput Quantification of Bacterial Growth Data Using a Microplate Reader
Published on: July 27, 2022
Top-down evaluation of the matrix effects in microbial enumeration test uncertainty
Francielle Regina Silva Dias1, Felipe Rebelo Lourenço1
1Department of Pharmacy, Faculty of Pharmaceutical Sciences, University of São Paulo, Brazil.
Microbial enumeration tests for pharmaceuticals require uncertainty evaluation. Matrix effects from pharmaceutical ingredients significantly impact test accuracy, increasing uncertainty and affecting results, especially at lower dilutions.
Area of Science:
- Pharmaceutical Microbiology
- Analytical Chemistry
- Quality Control
Background:
- Microbial contamination poses risks to pharmaceutical product safety and efficacy.
- Pharmacopeial compendia mandate microbial enumeration tests, typically using pour-plate methods.
- Measurement uncertainty evaluation is often overlooked in these microbial tests.
Purpose of the Study:
- To assess matrix effects in microbial enumeration tests.
- To evaluate the top-down uncertainty of these tests.
- To understand how pharmaceutical product matrices influence microbial counting accuracy.
Main Methods:
- Validation of microbial counting methods for 18 pharmaceutical products.
- Assessment of trueness (mean recovery) and precision (repeatability, intermediate precision).
- Testing with seven different microbial species.
Main Results:
- Uncertainty factors ranged from 1.1 to 3.3.
- The trueness uncertainty component was dominant in 59% of cases.
- Matrix interference, particularly from preservatives, was more pronounced at lower dilutions.
Conclusions:
- Matrix interference significantly increases measurement uncertainty in microbial enumeration.
- Higher matrix interference leads to larger uncertainty factors and asymmetric measurement intervals.
- Accurate uncertainty evaluation is crucial for reliable pharmaceutical microbial testing.
Related Concept Videos
Microbial Growth Measurement: Direct Methods
Microbial Growth Measurement: Indirect Methods
Antimicrobial Effectiveness

