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Determination of large microplastics: wet-sieving of dewatered digested sludge, co-substrates, and compost

Water Science & Technology 2020 53 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Larissa Schwinghammer, Steffen Krause, Christian Schaum

Summary

This study tested wet-sieving as a method to quantify large microplastic particles (1-5 mm) in dewatered digested sewage sludge and compost, which can transfer microplastics to agricultural soils. Reliable measurement methods for microplastics in sludge are needed because land application of treated sewage is a major pathway for microplastic contamination of farmland.

Study Type Environmental

Dewatered digested sludge and compost may act as a conduit for microplastics (<5 mm) in terrestrial and subsequently aquatic systems. However, standardized methods for microplastics analyses are lacking. Thus, the aim is to demonstrate the applicability of wet-sieving as a way to quantify large microplastic particles (MPP, 1-5 mm) in dewatered digested sludge and compost. Additionally, we investigated the organic fraction of municipal solid waste, expired drinks and slaughterhouse waste used as co-substrate for anaerobic digestion at wastewater treatment plants (WWTP). Therefore, we collected samples from six WWTP and two biogas plants. These were then wet-sieved and potential MPP analysed via attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR). In dewatered digested sludge the amount of microplastics ranged from 0 to 326 MPP/kg TS (total solids) while compost contained 39-102 MPP/kg TS. Our results show that with 0-36 MPP/kg TS co-substrates are not necessarily a source of microplastics in WWTP. Furthermore, we found film to be the most abundant shape in the biogas plant samples, whereas, in WWTP samples film, fragments and fibers were detected the most. ATR-FTIR revealed that polyvinyl chloride, polyester, polypropylene, and polyethylene were the most abundant materials found across all samples.

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