DOI: 10.14466/CefasDataHub.67

Description

This dataset contains 2 csv files. One file contains data on microplastic abundance expressed in number of particles per 5g dried sediment from 6 riverine, transitional and coastal locations on Guadalcanal Island (Solomon Islands) in 2017. One file contains spectrum analysis for some of the particles carried out with a ATR-FTIR. A READ-ME text file contains description of columns content for these two csv files. There is a .zip file that includes a csv file with the description of the plastic particles larger than 5mm (macroplastic) found in the samples and their pictures. Microplastics are plastic particles with size less than 5 mm in diameter (Arthur et al., 2008). 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 dried for 3 days (less than 50 degrees centigrade) and weighted. Density separation using NaCl solution and a centrifuge, filtering the supernatant. This was followed by a chemical digestion with a KOH:NaClO solution for 3 days at 50 degrees centigrade whilst shaking. Plastic particles were then stained with Nile Red dye and a digital image was acquired through a microscope. Microplastic particles were then counted and a subsample of particles (between 1 and 10 percent) was processed through a ATR—FTIR to identify particle composition comparing their spectrum to a polymers library. The presence and number of particles of plastic more than 5mm was also noted for each sample.

Contributors

Maes, Thomas / Smith, Andy / Bakir, Adil / Desender, Marieke / Leigh Smyth, Maddie / Lukaszewicz, Sonja / Trnski, Lena / Vanuatu Bureau of Standards

Subject

Sediment / Marine Litter / Litter abundance and type

Start Date

26/11/2017

End Date

27/11/2017

Year Published

2019

Version

1

Citation

Maes et al (2019). CLiP Solomon Islands Microplastics in sediment 2017. Cefas, UK. V1. doi: https://doi.org/10.14466/CefasDataHub.67

Rights List

Open Government Licence

DOI

10.14466/CefasDataHub.67