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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 Food & Water Gut & Microbiome Marine & Wildlife Nanoplastics Sign in to save

Combining microcavity size selection with Raman microscopy for the characterization of Nanoplastics in complex matrices

Scientific Reports 2021 28 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Andrea Valsesia, Monica Quarato, Jessica Ponti, Francesco Fumagalli, Douglas Gilliland, Pascal Colpo

Summary

Researchers developed a method combining enzymatic digestion, filtration, and Raman microscopy with microcavity size selection to extract and identify nanoplastic particles from salt-water mussel tissues, enabling detection of nanoplastics in the presence of complex biological matrices.

Nanoplastic particulates (pNP) are widely considered as being potentially harmful to the environment and living organisms while also being technically difficult to detect and identify in the presence of biological matrices. In this study, we describe a method for the extraction and subsequent Raman analysis of pNP present in the tissues of salt-water mussels. The process combines a step of enzymatic digestion/filtering to eliminate the biological matrix with a detection/identification procedure, which uses a micro-machined surface, composed of arrays of cavities with well-defined sub-micron depths and diameters. This sensor surface, exploits capillary forces in a drying droplet of analyte solution to drive the self-assembly of suspended nanoparticles into the cavities leaving the individual particles isolated from each other over the surface. The resulting array, when analysed using confocal Raman microscopy, permits the size selective analysis of the individual sub-micron pNP trapped in the cavities structure.

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