CEFASb775d58b-c4b8-4279-a2f3-a23c19de59f1
English
dataset
Centre for Environment, Fisheries & Aquaculture Science
Data Manager
+44 (0)1502 562244
Cefas Lowestoft Laboratory
Pakefield Road
Lowestoft
Suffolk
NR33 0HT
UK
data.manager@cefas.co.uk
pointOfContact
2020-09-10T14:04:33
MEDIN Discovery Metadata Standard
Version 2.3.7
urn:ogc:def:crs:EPSG::4030
OGP
2018 - 2018 Centre for Environment, Fisheries & Aquaculture Science (Cefas) CLiP Vanuatu Microplastics in sediment 2018
2020-09-10
publication
CEFASb775d58b-c4b8-4279-a2f3-a23c19de59f1
http://www.cefas.co.uk/
This dataset contains 2 csv files. One file reports data on microplastic
abundance in sediment expressed in number of particles for 5g sediment.
Sediment was collected from 20 grabs deployed in Port Vila Bay and Mele Bay in
Efate Island (Vanuatu) in 2018. The file also reports information on blank
used, grab GPS coordinates and deployment time and the particulate size
analysis (PSA) of the sediment. The other file contains the profile of a
ATR-FT-IR spectrum analysis of a plastic particle (>5mm). A READ-ME text file
contains the description of columns content for the two csv files . A .zip
file contains the picture of the plastic particle analysed with ATR-FT-IR.
Centre for Environment, Fisheries & Aquaculture Science
Data Manager
+44 (0)1502 562244
Cefas Lowestoft Laboratory
Pakefield Road
Lowestoft
Suffolk
NR33 0HT
UK
data.manager@cefas.co.uk
originator
Centre for Environment, Fisheries & Aquaculture Science
Data Manager
+44 (0)1502 562244
Cefas Lowestoft Laboratory
Pakefield Road
Lowestoft
Suffolk
NR33 0HT
UK
data.manager@cefas.co.uk
custodian
notPlanned
Delimited
NDGO0005
Litter abundance and type
SeaDataNet P021 parameter discovery vocabulary
2011-03-25
revision
Sediment
GEMET, version 1.0
2008-06-01
publication
Human health and safety
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
Public data (Crown Copyright) - Open Government Licence Terms and Conditions apply
otherRestrictions
Public data (Crown Copyright) - Open Government Licence Terms and Conditions apply
English
health
SeaVoX Vertical Co-ordinate Coverages
2010-05-18
revision
Unknown
160
170
-20
-10
2018-11-19T00:00:00.000Z
2018-12-05T00:00:00.000Z
Maes, T., Jessop, R., Wellner, N., Haupt, K. and Mayes, A.G., 2017. A
rapid-screening approach to detect and quantify microplastics based on
fluorescent tagging with Nile Red. Scientific Reports, 7, p.44501.
http://data.cefas.co.uk/#/View/19807/order
dataset
The Commonwealth Litter Project (CLiP) supported Solomon Islands to take
action on plastics entering the oceans. The assessment of microplastics in
seawater was part of the action plan to define scientific baselines for future
monitoring purposes and comparison. Samples were acquired deploying a small
Van Veen grab (Duncan and Associates, UK, sampled area 0.025 square metre) off
small vessels by hand. Grab were done only if the bottom was well visible and
clear of live coral. Sediment grabs were subsampled with a steel spoon into
sample jars for microplastics and PSA. Sample were then frozen (-18 degrees
Celsius). A control jar was left exposed to the atmosphere during the
subsampling to investigate background contamination. In the lab, visible
plastic particles greater than 5mm were removed and analysed using ATR-FT-IR
to identify particle composition comparing their spectrum to a polymers
library. The rest of the sample was dried and homogenised, chemically digested
with 30 percent KOH:NaClO solution for 3 days at 50 degrees Celsius. Samples
were then filtered, stained with Red Nile dye and a digital image was acquired
through a microscope. Number of particles was counted and corrected for blank
samples. ATR-FT-IR is the attenuated total reflection Fourier Transform
infrared spectroscopy. A Thermo Fisher Scientific Nicolet iS5 ATR-FTIR with an
OMNIC software (version 9.9.473) was used and polymers were identified based
on the percentage match of IR spectra to a polymer library. Only spectra
matched greater than 70 percent were accepted Spectra were collected in the
range 4000 – 650 1/cm at a resolution of 4 1/cm. Particulate size analysis was
performed measuring the weight of the sample and of its gravel, sand and mud
components. The percentage of the three components over the total weight was
also measured.