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dc.contributor.author | Nigamatzyanova L. | |
dc.contributor.author | Fakhrullin R. | |
dc.date.accessioned | 2022-02-09T20:33:31Z | |
dc.date.available | 2022-02-09T20:33:31Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 0269-7491 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/169001 | |
dc.description.abstract | Microplastics pollution is a serious ecological threat, severely affecting environments and human health. Tackling microplastics pollution requires an effective methodology to detect minute polymer particles in environmental samples and organisms. Here were report a novel methodology to visualise and identify nanoscale (down to 100 nm) and microscale synthetic commercially-available uniform spherical polymer particles using dark-field hyperspectral microscopy in visible-near infrared (400–1000 nm) wavelength range. Polystyrene particles with diameters between 100 nm–1 μm, polymethacrylate 1 μm and melamine formaldehyde 2 μm microspheres suspended in pure water samples were effectively imaged and chemically identified based on spectral signatures and image-assisted analysis. We succeeded in visualisation and spectral identification of pure and mixed nano- and microplastics in vivo employing optically-transparent Caenorhabditis elegans nematodes as a model to demonstrate the ingestion and tissue distribution of microplastics. As we demonstrate here, dark-field hyperspectral microscopy is capable for differentiating between chemically-different microplastics confined within live invertebrate intestines. Moreover, this optical technology allows for quantitative identification of microplastics ingested by nematodes. We believe that this label-free non-destructive methodology will find numerous applications in environmental nano- and microplastics detection and quantification, investigation of their biodistribution in tissues and organs and nanotoxicology. | |
dc.relation.ispartofseries | Environmental Pollution | |
dc.subject | Caenorhabditis elegans | |
dc.subject | Dark-field hyperspectral microscopy | |
dc.subject | Microplastics | |
dc.subject | Minimum detection size | |
dc.subject | Polystyrene | |
dc.title | Dark-field hyperspectral microscopy for label-free microplastics and nanoplastics detection and identification in vivo: A Caenorhabditis elegans study | |
dc.type | Article | |
dc.relation.ispartofseries-volume | 271 | |
dc.collection | Публикации сотрудников КФУ | |
dc.source.id | SCOPUS02697491-2021-271-SID85098221521 |