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Patterns of microparticles in blank samples: A study to inform best practices for microplastic analysis
Keenan Munno1, Amy L Lusher2, Elizabeth C Minor3
1Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
Procedural blanks in microplastic analysis show significant contamination, with black fibers being most common. Standard quality assurance and quality control (QA/QC) methods did not reduce this contamination, suggesting improved blank subtraction is needed.
Area of Science:
- Analytical Chemistry
- Environmental Science
Background:
- Quality assurance and quality control (QA/QC) are vital for accurate microplastic analysis.
- Procedural blanks are essential for quantifying background contamination but are inconsistently used.
- Variability in blank acquisition and data reporting hinders microplastic research.
Purpose of the Study:
- To evaluate laboratory procedural blanks for microplastic quantification and characterization.
- To inform and improve QA/QC procedures in microplastic analysis.
- To assess the effectiveness of common contamination control methods.
Main Methods:
- Collected and analyzed procedural blanks from 12 participating laboratories.
- Investigated contamination levels, including particle count, color, morphology, and size.
- Evaluated the impact of various QA/QC techniques (air filtration, filtered water, enclosed environments).
- Tested different blank subtraction methods.
Main Results:
- Procedural blanks contained significant microplastic contamination (mean 80 particles/sample), predominantly black fibers (20–212 µm).
- Common QA/QC techniques did not significantly reduce blank contamination.
- No clear pattern was observed based on total recovery when testing subtraction methods.
- Particle characteristics varied, with few particles <20 µm detected, possibly due to detection limits.
Conclusions:
- Standard QA/QC methods are insufficient to eliminate microplastic contamination in procedural blanks.
- Blank subtraction using a combination of particle characteristics (color, morphology, size) is recommended for representative results.
- Further research is needed on other QA/QC parameters, including different blank types and detection limits.
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