Cargando…
Imaging and identification of single nanoplastic particles and agglomerates
Pollution by nanoplastic is a growing environmental and health concern. Currently the extent of nanoplastic in the environment can only be cumbersomely and indirectly estimated but not measured. To be able to quantify the extent of the problem, detection methods that can identify nanoplastic particl...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290666/ https://www.ncbi.nlm.nih.gov/pubmed/37355695 http://dx.doi.org/10.1038/s41598-023-37290-y |
_version_ | 1785062539140268032 |
---|---|
author | Shorny, Ambika Steiner, Fritz Hörner, Helmut Skoff, Sarah M. |
author_facet | Shorny, Ambika Steiner, Fritz Hörner, Helmut Skoff, Sarah M. |
author_sort | Shorny, Ambika |
collection | PubMed |
description | Pollution by nanoplastic is a growing environmental and health concern. Currently the extent of nanoplastic in the environment can only be cumbersomely and indirectly estimated but not measured. To be able to quantify the extent of the problem, detection methods that can identify nanoplastic particles that are smaller than 1 [Formula: see text] m are critically needed. Here, we employ surface-enhanced Raman scattering (SERS) to image and identify single nanoplastic particles down to 100 nm in size. We can differentiate between single particles and agglomerates and our method allows an improvement in detection speed of [Formula: see text] compared to state-of-the art surface-enhanced Raman imaging. Being able to resolve single particles allows to measure the SERS enhancement factor on individual nanoplastic particles instead of averaging over a concentration without spatial information. Our results thus contribute to the better understanding and employment of SERS for nanoplastic detection and present an important step for the development of future sensors. |
format | Online Article Text |
id | pubmed-10290666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102906662023-06-26 Imaging and identification of single nanoplastic particles and agglomerates Shorny, Ambika Steiner, Fritz Hörner, Helmut Skoff, Sarah M. Sci Rep Article Pollution by nanoplastic is a growing environmental and health concern. Currently the extent of nanoplastic in the environment can only be cumbersomely and indirectly estimated but not measured. To be able to quantify the extent of the problem, detection methods that can identify nanoplastic particles that are smaller than 1 [Formula: see text] m are critically needed. Here, we employ surface-enhanced Raman scattering (SERS) to image and identify single nanoplastic particles down to 100 nm in size. We can differentiate between single particles and agglomerates and our method allows an improvement in detection speed of [Formula: see text] compared to state-of-the art surface-enhanced Raman imaging. Being able to resolve single particles allows to measure the SERS enhancement factor on individual nanoplastic particles instead of averaging over a concentration without spatial information. Our results thus contribute to the better understanding and employment of SERS for nanoplastic detection and present an important step for the development of future sensors. Nature Publishing Group UK 2023-06-24 /pmc/articles/PMC10290666/ /pubmed/37355695 http://dx.doi.org/10.1038/s41598-023-37290-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shorny, Ambika Steiner, Fritz Hörner, Helmut Skoff, Sarah M. Imaging and identification of single nanoplastic particles and agglomerates |
title | Imaging and identification of single nanoplastic particles and agglomerates |
title_full | Imaging and identification of single nanoplastic particles and agglomerates |
title_fullStr | Imaging and identification of single nanoplastic particles and agglomerates |
title_full_unstemmed | Imaging and identification of single nanoplastic particles and agglomerates |
title_short | Imaging and identification of single nanoplastic particles and agglomerates |
title_sort | imaging and identification of single nanoplastic particles and agglomerates |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290666/ https://www.ncbi.nlm.nih.gov/pubmed/37355695 http://dx.doi.org/10.1038/s41598-023-37290-y |
work_keys_str_mv | AT shornyambika imagingandidentificationofsinglenanoplasticparticlesandagglomerates AT steinerfritz imagingandidentificationofsinglenanoplasticparticlesandagglomerates AT hornerhelmut imagingandidentificationofsinglenanoplasticparticlesandagglomerates AT skoffsarahm imagingandidentificationofsinglenanoplasticparticlesandagglomerates |