Lessons learned from an intercalibration exercise on the quantification and characterisation of microplastic particles in sediment and water samples. (May 2020)

• Record Type: Journal Article
• Authors: Cadiou, J.-F.; Gerigny, O.; Koren, Š.; Zeri, C.; Kaberi, H.; Alomar, C.; Panti, C.; Fossi, M.C.; Adamopoulou, A.; Digka, N.; Deudero, S.; Concato, M.; Carbonell, A.; Baini, M.; Galli, M.; Galgani, F.
• Is Part Of: Marine pollution bulletin. Volume 154(2020)
• Publication Date: 2020-05
• Subjects: Microplastics -- Intercalibration -- Protocols -- Sediment -- Seawater; Marine pollution -- Periodicals; Marine Biology -- Periodicals; Water Pollution -- Periodicals; Mer -- Pollution -- Périodiques; Publications périodiques; Pollution des mers; Lutte antipollution; Electronic journals; 363.7394
• DOI: 10.1016/j.marpolbul.2020.111097
• Languages: English
• ISSNs: 0025-326X

Abstract

Abstract: An intercalibration exercise on the characterisation of microplastics in marine sediment and water samples was carried out among five laboratories involved in the implementation of the Marine Strategy Framework Directive (MSFD) in their country. The samples were prepared by mixing cleaned natural sediment and sea water with microplastics sets made of particles of various polymers, shapes and colours. Overall, the errors on total counts were under 25% in absolute value. The risk of non-detection and loss of particles is greater than the risk of contamination during sample analysis. Significant differences are observed among particle types. It appears difficult to obtain reliable and comparable data on the colour of microplastics. A comparison of the errors with regards to the protocols used led to recommend NaCl [1.2 g/cm 3 ] density separation for sediment and one filtering step (200 μm). The operators' experience appears as a key factor for the quality of the results. Highlights: Underestimation is the most frequent cause of error on the total counts Recommended protocol: NaCl density separation for sediment, filtering 200 µm. Operators' experience is a key quality factor Data on colour is not reliable and comparable Obtaining clean natural sediment reference material is an issue FT-IR analysis is useful to remove ambiguities on mineral and biological particles