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Drip flow reactor method exhibits excellent reproducibility based on a 10-laboratory collaborative study.

Darla M Goeres1, Albert E Parker2, Diane K Walker1

  • 1Center for Biofilm Engineering, Montana State University, Bozeman, MT, United States.

Journal of Microbiological Methods
|May 27, 2020
PubMed
Summary

A standard method for growing Pseudomonas aeruginosa biofilms was validated across 10 labs. The Drip Flow Biofilm Reactor method demonstrated high repeatability and reproducibility, ensuring reliable biofilm density data.

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Area of Science:

  • Microbiology
  • Biotechnology
  • Medical Science

Background:

  • Pseudomonas aeruginosa is an opportunistic pathogen known for forming robust biofilms.
  • Standardized biofilm cultivation methods are crucial for reproducible research and drug development.
  • The Drip Flow Biofilm Reactor (DFBR) is a model system for studying biofilm formation.

Purpose of the Study:

  • To assess the performance and inter-laboratory reproducibility of a standard method for cultivating Pseudomonas aeruginosa biofilms.
  • To validate the use of the Drip Flow Biofilm Reactor for generating consistent biofilm cultures.
  • To establish the statistical reliability of biofilm density measurements obtained through the standardized protocol.

Main Methods:

  • A standardized protocol for growing Pseudomonas aeruginosa biofilms using the Drip Flow Biofilm Reactor was implemented.
  • Ten independent laboratories participated in a multi-center study to evaluate the method.
  • Biofilm density was quantified using Log10(CFU/cm2) measurements.

Main Results:

  • The mean biofilm density achieved was 9.29 Log10(CFU/cm2).
  • The standard deviation for repeatability was 0.22.
  • The standard deviation for reproducibility between laboratories was 0.24.

Conclusions:

  • The standardized Pseudomonas aeruginosa biofilm cultivation method using the Drip Flow Biofilm Reactor is reliable and reproducible across multiple laboratories.
  • The low standard deviations for repeatability and reproducibility indicate high statistical confidence in the generated data.
  • This validated method provides a robust platform for future research on Pseudomonas aeruginosa biofilms, including antimicrobial efficacy testing.