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Integrated Assessment of Digestion Methods, Analytical Techniques, and Sampling Strategies for Microplastics Characterization in Municipal Wastewater Influent

ACS ES&T Water 2026
Kanchan J. Nakarmi, Maria Hyvönen, Mirka Viitala, Marco Mattonai, Hans Peter H. Arp, Amit Bhatnagar

Summary

Scientists tested different lab methods for detecting tiny plastic particles (microplastics) in wastewater flowing into treatment plants, since wastewater is a major route by which plastics enter rivers, oceans, and potentially our water supply. They found that no single testing method catches everything—one technique is better at counting particles while another better identifies total plastic mass—so combining methods gives a more accurate picture of how much plastic pollution is really there. This matters because better detection methods are a necessary first step toward understanding how much microplastic exposure we face from water systems and improving treatment to remove it.

Study Type Environmental

High Resolution Image Download MS PowerPoint Slide Microplastics entering wastewater treatment plants (WWTPs) are challenging to quantify due to the presence of complex organic matter. This study evaluates microplastic extraction and quantification workflows (particle size: 25–1000 μm) based on their performance, limitations, types of information, and potential biases. Among the tested extraction methods, enzymatic digestion coupled with sequential wet peroxidation provided the best balance between sample cleanliness and particle recovery (47%, for 45 μm polystyrene (PS) microspheres). This method was used for extracting microplastics from municipal wastewater influent (MWWI) samples collected from Helsinki. The extracted microplastics were quantified using Fourier transform infrared microspectroscopy (μFTIR) and pyrolysis gas chromatography/mass spectrometry (Py-GC/MS). The μFTIR quantified nonfiber particles, revealing an abundance of small-sized microplastics (<350 μm) with broadly comparable microplastic concentration in composites and grab samples. Prevalent polymer types were alkyd resin/polyester, polyethylene (PE), and polypropylene (PP). Microplastic concentration variability was observed across sequential sampling days, sampling strategies, and replicates. Py-GC/MS analysis indicated the most abundant polymer mass concentrations were not the same as the most abundant particle number concentrations as identified by μFTIR, highlighting the complementary nature of these methods. Overall, this study demonstrates complementary analytical techniques are needed for comprehensiveness microplastic characterization in wastewater samples.

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