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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 Gut & Microbiome Human Health Effects Marine & Wildlife Nanoplastics Remediation Sign in to save

Upscaling sample size for microscopical detection of nanoplastics

2023 Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Arto Hiltunen, Jari Hänninen Arto Hiltunen, Arto Hiltunen, Joona Huopalainen, Joona Huopalainen, Joona Huopalainen, Joona Huopalainen, Sirkku Häkkilä, Sirkku Häkkilä, Sirkku Häkkilä, Sirkku Häkkilä, Sirkku Häkkilä, Sirkku Häkkilä, Sirkku Häkkilä, Pia Damlin, Pia Damlin, Sirkku Häkkilä, Jari Hänninen Jari Hänninen Jari Hänninen Pia Damlin, Pia Damlin, Jari Hänninen Jari Hänninen

Summary

Researchers developed a method to detect nanoplastic particles in a full liter of seawater — far more than the tiny droplet-sized samples typical techniques require. By combining chemical purification steps with a special membrane filter that amplifies Raman signals (SERS), they could identify individual nanoplastics down to nanometer scale. This advance matters because nanoplastics are the smallest and potentially most harmful plastic fragments, yet they have been almost impossible to detect in realistic environmental samples until now.

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 very small sample sizes (typically ∼10 µl). In this work, we describe a method that enables sampling of 1 liter of seawater by the means of correlative Raman- and SEM-techniques. This is achieved by adapting common microplastic sample purification proto- cols (i.e. chemical digestion) 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 in- dividual nanoplastic particles from significantly larger sample sizes than before. These results aim to provide useful tools for researchers in the fight against plastic pollution.

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