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Sampling, Sorting, and Characterizing Microplastics in Aquatic Environments with High Suspended Sediment Loads and Large Floating Debris
Published on: July 28, 2018
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What You Net Depends on if You Grab: A Meta-analysis of Sampling Method's Impact on Measured Aquatic Microplastic
Lisa Watkins1, Patrick J Sullivan2, M Todd Walter1
1Department of Biological and Environmental Engineering, Cornell University, Ithaca, New York 14853, United States.
Environmental Science & Technology
|September 22, 2021
Summary
Different microplastic sampling methods yield varying results. Small-volume grab samples show higher concentrations than large-volume net samples, highlighting the need for standardized contamination control in microplastic research.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Ecotoxicology
Background:
- Microplastic pollution is a global concern, necessitating accurate measurement techniques.
- Current sampling methods for microplastics in surface waters, such as net, pump, and grab samples, are known to produce non-equivalent concentration data.
- The comparability of these diverse methods remains a critical challenge in microplastic research.
Purpose of the Study:
- To investigate the comparability of different microplastic sampling methods.
- To identify systematic relationships between measured microplastic concentrations and methodological factors.
- To provide recommendations for improving the reliability and comparability of microplastic data.
Main Methods:
- A meta-analysis was conducted on 121 surface water microplastic studies.
- Data on measured microplastic concentration, sampled volume, collection method, and mesh size were analyzed.
- Statistical relationships between these variables and potential biasing factors were explored.
Main Results:
- A significant log-linear relationship was found between sample volume and measured microplastic concentration.
- Small-volume grab samples reported concentrations up to 10^4 particles/L higher than large-volume net samples.
- Filtration size, net volume overestimation, and contamination were identified as potential biasing factors, with contamination potentially explaining observed differences.
Conclusions:
- Direct comparison of microplastic concentrations across studies using different methods is cautioned against.
- Combining data from multiple studies to identify regional patterns may be unreliable due to methodological variability.
- Emphasized the critical importance of implementing and reporting contamination reduction and quantification strategies, including the use of blank samples.
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