Dataset for: Validation of a method to quantify microfibers present in aquatic surface microlayer
Dataset for: Validation of a method to quantify microfibers present in aquatic surface microlayer
Here we present the accomaning dataset for 'Validation of a method to quantify microfibers present in aquatic surface microlayer'- Birkenhead et al., 2020.
Many of the methods for microplastics quantification in the environment are criticised creating problems with data validity. Quantification of microplastics in the surface microlayer of aquatic environments using glass plate dipping holds promise as a simple field method, but its efficiency has yet to be validated. We tested a standard glass plate dipping method to assess recovery of four common polymer microfibres and two common natural fibres, under three different salinities (freshwater, brackish water, saltwater). Overall recovery rates were low (26.8 ± 1.54%) but higher recoveries were observed under saltwater treatments (36.5 ± 3.01 %) than brackish water (24.5 ± 1.92%) or freshwater (19.3 ± 1.92%). The fibre types showed different recovery rates, with acrylic yielding significantly higher recovery rates (37.0 ± 2.71%) than other fibres across treatments. No clear relationship between the density of the fibres and the recovery efficiency was seen. We suggest that, where this method is used for monitoring microplastics, the results will typically underestimate the total amount present, but that recovery is sufficiently consistent to allow comparison of differences between sampling locations. When comparing data across river-estuarine or similar transects salinity should be monitored to account for salinity-induced differences in sampling recovery.
microplastics, surface microlayer
University of Southampton
Birkenhead, Joshua
8015d34f-d114-462c-ba01-8304156a2e83
Radford, Freya
f43f5d73-b100-424a-9021-8f17f7715e35
Stead, Jessica Laura
abd3bc01-cf97-4692-a191-cd3ce2fb79f7
Cundy, Andrew
994fdc96-2dce-40f4-b74b-dc638286eb08
Hudson, Malcolm
1ae18506-6f2a-48af-8c72-83ab28679f55
Birkenhead, Joshua
8015d34f-d114-462c-ba01-8304156a2e83
Radford, Freya
f43f5d73-b100-424a-9021-8f17f7715e35
Stead, Jessica Laura
abd3bc01-cf97-4692-a191-cd3ce2fb79f7
Cundy, Andrew
994fdc96-2dce-40f4-b74b-dc638286eb08
Hudson, Malcolm
1ae18506-6f2a-48af-8c72-83ab28679f55
Birkenhead, Joshua, Radford, Freya, Stead, Jessica Laura, Cundy, Andrew and Hudson, Malcolm
(2020)
Dataset for: Validation of a method to quantify microfibers present in aquatic surface microlayer.
University of Southampton
doi:10.5258/SOTON/D1409
[Dataset]
Abstract
Here we present the accomaning dataset for 'Validation of a method to quantify microfibers present in aquatic surface microlayer'- Birkenhead et al., 2020.
Many of the methods for microplastics quantification in the environment are criticised creating problems with data validity. Quantification of microplastics in the surface microlayer of aquatic environments using glass plate dipping holds promise as a simple field method, but its efficiency has yet to be validated. We tested a standard glass plate dipping method to assess recovery of four common polymer microfibres and two common natural fibres, under three different salinities (freshwater, brackish water, saltwater). Overall recovery rates were low (26.8 ± 1.54%) but higher recoveries were observed under saltwater treatments (36.5 ± 3.01 %) than brackish water (24.5 ± 1.92%) or freshwater (19.3 ± 1.92%). The fibre types showed different recovery rates, with acrylic yielding significantly higher recovery rates (37.0 ± 2.71%) than other fibres across treatments. No clear relationship between the density of the fibres and the recovery efficiency was seen. We suggest that, where this method is used for monitoring microplastics, the results will typically underestimate the total amount present, but that recovery is sufficiently consistent to allow comparison of differences between sampling locations. When comparing data across river-estuarine or similar transects salinity should be monitored to account for salinity-induced differences in sampling recovery.
Spreadsheet
SMLmethodspaper_rawdata.xlsx
- Dataset
More information
Published date: 8 June 2020
Keywords:
microplastics, surface microlayer
Identifiers
Local EPrints ID: 444440
URI: http://eprints.soton.ac.uk/id/eprint/444440
PURE UUID: 4abfbf36-a639-48ac-a8d5-9882e44b5886
Catalogue record
Date deposited: 19 Oct 2020 16:33
Last modified: 06 May 2023 01:50
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Contributors
Creator:
Joshua Birkenhead
Creator:
Freya Radford
Creator:
Jessica Laura Stead
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