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Sampling microfibres at the sea surface: The effects of mesh size, sample volume and water depth
Environmental Pollution2019
114 citations
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 40
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Giuseppe Suaria,
Giuseppe Suaria,
Peter G. Ryan
Peter G. Ryan
Peter G. Ryan
Giuseppe Suaria,
Peter G. Ryan
Giuseppe Suaria,
Stefano Aliani,
Stefano Aliani,
Giuseppe Suaria,
Giuseppe Suaria,
Giuseppe Suaria,
Giuseppe Suaria,
Giuseppe Suaria,
Giuseppe Suaria,
Peter G. Ryan
Giuseppe Suaria,
Stefano Aliani,
Giuseppe Suaria,
Giuseppe Suaria,
Peter G. Ryan
Peter G. Ryan
Giuseppe Suaria,
Giuseppe Suaria,
Vonica Perold,
Vonica Perold,
Vonica Perold,
Giuseppe Suaria,
Giuseppe Suaria,
Giuseppe Suaria,
Stefano Aliani,
Peter G. Ryan
Peter G. Ryan
Giuseppe Suaria,
Vonica Perold,
Giuseppe Suaria,
Giuseppe Suaria,
Stefano Aliani,
Giuseppe Suaria,
Stefano Aliani,
Peter G. Ryan
Giuseppe Suaria,
Giuseppe Suaria,
Stefano Aliani,
Stefano Aliani,
Vonica Perold,
Vonica Perold,
Vonica Perold,
Vonica Perold,
Vonica Perold,
Vonica Perold,
Peter G. Ryan
Peter G. Ryan
Peter G. Ryan
Giuseppe Suaria,
Stefano Aliani,
Stefano Aliani,
Giuseppe Suaria,
Giuseppe Suaria,
Giuseppe Suaria,
Stefano Aliani,
Stefano Aliani,
Giuseppe Suaria,
Andrea Pierucci,
Peter G. Ryan
Andrea Pierucci,
Stefano Aliani,
Stefano Aliani,
Stefano Aliani,
Stefano Aliani,
Stefano Aliani,
Stefano Aliani,
Stefano Aliani,
Stefano Aliani,
Peter G. Ryan
Peter G. Ryan
Thomas G. Bornman,
Andrea Pierucci,
Giuseppe Suaria,
Thomas G. Bornman,
Stefano Aliani,
Peter G. Ryan
Thomas G. Bornman,
Peter G. Ryan
Giuseppe Suaria,
Giuseppe Suaria,
Peter G. Ryan
Stefano Aliani,
Peter G. Ryan
Stefano Aliani,
Peter G. Ryan
Stefano Aliani,
Stefano Aliani,
Stefano Aliani,
Stefano Aliani,
Peter G. Ryan
Stefano Aliani,
Peter G. Ryan
Stefano Aliani,
Stefano Aliani,
Giuseppe Suaria,
Giuseppe Suaria,
Stefano Aliani,
Stefano Aliani,
Stefano Aliani,
Stefano Aliani,
Stefano Aliani,
Peter G. Ryan
Giuseppe Suaria,
Giuseppe Suaria,
Giuseppe Suaria,
Giuseppe Suaria,
Stefano Aliani,
Stefano Aliani,
Peter G. Ryan
Giuseppe Suaria,
Peter G. Ryan
Peter G. Ryan
Giuseppe Suaria,
Stefano Aliani,
Peter G. Ryan
Summary
Researchers examined how mesh size, sample volume, and water depth affect microfibre sampling at the sea surface, finding that fibre density increased substantially as mesh size decreased from 63 to 20 micrometres, highlighting significant underestimation in traditional 300-500 micrometer net surveys.
Study Type
Environmental
Microfibres are one of the most ubiquitous particulate pollutants, occurring in all environmental compartments. They are often assumed to be microplastics, but include natural as well as synthetic textile fibres and are perhaps best treated as a separate class of pollutants given the challenges they pose in terms of identification and contamination. Microfibres have been largely ignored by traditional methods used to sample floating microplastics at sea, which use 300-500 μm mesh nets that are too coarse to sample most textile fibres. There is thus a need for a consistent set of methods for sampling microfibres in seawater. We processed bulk water samples through 0.7-63 μm filters to collect microfibres in three ocean basins. Fibre density increased as mesh size decreased: 20 μm mesh sampled 41% more fibres than 63 μm, and 0.7 μm filters sampled 44% more fibres than 25 μm mesh, but mesh size (20-63 μm) had little effect on the size of fibres retained. Fibre density decreased with sample volume when processed through larger mesh filters, presumably because more fibres were flushed through the filters. Microfibres averaged 2.5 times more abundant at the sea surface than in water sampled 5 m sub-surface. However, the data were noisy; counts of replicate 10-L samples had low repeatability (0.15-0.36; CV = 56%), suggesting that single samples provide only a rough estimate of microfibre abundance. We propose that sampling for microfibres should use a combination of <1 μm and 20-25 μm filters and process multiple samples to offset high within-site variability in microfibre densities.