Data Quality in Biofilm High-Throughput Routine Analysis: Intralaboratory Protocol Adaptation and Experiment...

Area of Science:

• Microbiology
• Biotechnology

Background:

• Biofilm research increasingly relies on high-throughput methods, leading to challenges in data validation.
• Experimental protocols are often modified within laboratories without statistical validation, hindering data interchange.

Purpose of the Study:

• To investigate the impact of intralaboratory protocol adaptation and inadequate documentation on biofilm data.
• To assess the reliability of common biofilm assays when protocols are modified.

Main Methods:

• A case study using a modified workflow for *Pseudomonas aeruginosa* biofilm development.
• Evaluation of crystal violet (CV), XTT, and colony forming units (CFU) assays.
• Assessing protocol ruggedness by introducing minor variations in growth conditions.

Main Results:

• Minor changes in biofilm growth conditions significantly impacted experimental outcomes.
• The crystal violet, XTT, and CFU assays demonstrated a lack of repeatability.
• Protocol variations highlight issues with data interchange and validation in biofilm research.

Conclusions:

• Intralaboratory adaptation of biofilm protocols can introduce variability and affect data reliability.
• Rigorous validation of non-standard protocols within laboratories is essential for ensuring data quality.
• Standardized and validated protocols are critical for enabling meaningful comparison of biofilm research findings.