Details

Autor(en) / Beteiligte

• Parga Martínez, K.B.
• da Silva, V.H.
• Andersen, T.J.
• Posth, N.R.
• Strand, J.

Titel

Improved separation and quantification method for microplastic analysis in sediment: A fine-grained matrix from Arctic Greenland

Ist Teil von

• Marine pollution bulletin, 2023-11, Vol.196, p.115574-115574, Article 115574

Ort / Verlag

Elsevier Ltd

Erscheinungsjahr

2023

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Microplastic analysis requires effective separation and purification methods, which greatly depend on the matrix and target particle size. Microplastics-sediment extraction usually involves intermediate steps, increasing processing time and particle loss, particularly for particles <100 μm. Here, we propose an improved separation and quantification method for fine-grained sediment that minimizes microplastic loss by reducing intermediate steps. First, the sample is treated with CH3COOH, KOH and NaClO, and only transferred for the density separation (ZnCl2). The extraction efficiency, visually evaluated on spiked samples, was higher than 90% for particles >100 μm and 83% for 63‐75 μm particles. This indicates that a sequential extraction method reduces the risk of particle loss, particularly of the small size fraction. Comparatively, the extraction of ABS particles (20‐100 μm) was low (30%) but the recovery, assessed via μFTIR, was higher (55%). Additionally, the proposed method can be adapted to other sediment types and environmental matrices. [Display omitted] •Microplastics were isolated from fine-grained sediment targeting the small fraction (20 – 100 μm, 80% extraction; > 100 μm, > 90% extraction)•This sequential four-step method improves MP extraction by reducing particle loss•The novel stainless-steel filtration unit allows sequential size fractionation•The implementation of a silicon membrane during μFTIR adds more infrared spectral information on the fingerprint region (< 1300 cm-1).•The method can be adapted to different types of sediment and environmental matrices.