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 |
|