4.7 Article

Using a forensic science approach to minimize environmental contamination and to identify microfibres in marine sediments

Journal

MARINE POLLUTION BULLETIN
Volume 95, Issue 1, Pages 40-46

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.marpolbul.2015.04.044

Keywords

Microplastic; Microfibre; Sediment; Deep-sea; Pollution

Funding

  1. NERC [NE/F005504/1]
  2. ERC [278705, JC94]
  3. Phillip Leverhulme Prize
  4. Marie Curie International Reintegration Grant
  5. NERC [NE/F005504/1] Funding Source: UKRI
  6. European Research Council (ERC) [278705] Funding Source: European Research Council (ERC)
  7. Natural Environment Research Council [NE/F005504/1] Funding Source: researchfish

Ask authors/readers for more resources

There is growing evidence of extensive pollution of the environment by microplastic, with microfibres representing a large proportion of the microplastics seen in marine sediments. Since microfibres are ubiquitous in the environment, present in the laboratory air and water, evaluating microplastic pollution is difficult. Incidental contamination is highly likely unless strict control measures are employed. Here we describe methods developed to minimize the amount of incidental post-sampling contamination when quantifying marine microfibre pollution. We show that our protocol, adapted from the field of forensic fibre examination, reduces fibre abundance by 90% and enables the quick screening of fibre populations. These methods therefore allow an accurate estimate of microplastics polluting marine sediments. In a case study from a series of samples collected on a research vessel, we use these methods to highlight the prevalence of microfibres as marine microplastics. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available