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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Human Health Effects Marine & Wildlife Nanoplastics Remediation Sign in to save

Expanding sample volume for microscopical detection of nanoplastics

Marine Environmental Research 2024 5 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 55 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Jari Hänninen Arto Hiltunen, Arto Hiltunen, Joona Huopalainen, Joona Huopalainen, Joona Huopalainen, Joona Huopalainen, Sirkku Häkkilä, Sirkku Häkkilä, Sirkku Häkkilä, Sirkku Häkkilä, Ermei Mäkilä, Ermei Mäkilä, Sirkku Häkkilä, Sirkku Häkkilä, Sirkku Häkkilä, Pia Damlin, Pia Damlin, Sirkku Häkkilä, Jari Hänninen Pia Damlin, Jari Hänninen Jari Hänninen Pia Damlin, Jari Hänninen Jari Hänninen

Summary

Scientists developed a new method that can detect nanoplastics in much larger water samples than was previously possible, scaling up from tiny droplets to full liters of seawater. The technique combines specialized membrane filters with enhanced Raman spectroscopy to identify individual nanoplastic particles. This advancement addresses a major technical barrier in understanding how widespread nanoplastic contamination really is in ocean environments.

Study Type Environmental

The extent of nanoplastic pollution has raised severe environmental and health concerns. While the means for microplastic detection are abundant, improved tools for nanoplastic detection are called-for. State-of-the-art microscopic techniques can detect nanoplastics down to tens of nanometers, however, only from small sample sizes (typically ∼10μl). In this work, we describe a method that enables sampling of 1 l of seawater by the means of correlative Raman- and SEM-techniques. This is achieved by adapting common microplastic sample purification protocols to suit the nanoplastic study. In addition, we decorate a membrane filter with SERS-property to amplify the Raman signals. Together, the purification method combined with the use of the SERS-activated-membrane-filter enables identification and imaging of individual nanoplastic particles from significantly larger sample sizes than before. In the nanoscale the average recovery rate is 5 %. These results aim to provide useful tools for researchers in the fight against plastic pollution.

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