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

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Autores principales: Valsesia, Andrea, Quarato, Monica, Ponti, Jessica, Fumagalli, Francesco, Gilliland, Douglas, Colpo, Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801455/
https://www.ncbi.nlm.nih.gov/pubmed/33432047
http://dx.doi.org/10.1038/s41598-020-79714-z
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author Valsesia, Andrea
Quarato, Monica
Ponti, Jessica
Fumagalli, Francesco
Gilliland, Douglas
Colpo, Pascal
author_facet Valsesia, Andrea
Quarato, Monica
Ponti, Jessica
Fumagalli, Francesco
Gilliland, Douglas
Colpo, Pascal
author_sort Valsesia, Andrea
collection PubMed
description 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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spelling pubmed-78014552021-01-12 Combining microcavity size selection with Raman microscopy for the characterization of Nanoplastics in complex matrices Valsesia, Andrea Quarato, Monica Ponti, Jessica Fumagalli, Francesco Gilliland, Douglas Colpo, Pascal Sci Rep Article 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. Nature Publishing Group UK 2021-01-11 /pmc/articles/PMC7801455/ /pubmed/33432047 http://dx.doi.org/10.1038/s41598-020-79714-z Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Valsesia, Andrea
Quarato, Monica
Ponti, Jessica
Fumagalli, Francesco
Gilliland, Douglas
Colpo, Pascal
Combining microcavity size selection with Raman microscopy for the characterization of Nanoplastics in complex matrices
title Combining microcavity size selection with Raman microscopy for the characterization of Nanoplastics in complex matrices
title_full Combining microcavity size selection with Raman microscopy for the characterization of Nanoplastics in complex matrices
title_fullStr Combining microcavity size selection with Raman microscopy for the characterization of Nanoplastics in complex matrices
title_full_unstemmed Combining microcavity size selection with Raman microscopy for the characterization of Nanoplastics in complex matrices
title_short Combining microcavity size selection with Raman microscopy for the characterization of Nanoplastics in complex matrices
title_sort combining microcavity size selection with raman microscopy for the characterization of nanoplastics in complex matrices
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801455/
https://www.ncbi.nlm.nih.gov/pubmed/33432047
http://dx.doi.org/10.1038/s41598-020-79714-z
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