Distinguishing the sources of silica nanoparticles by dual isotopic fingerprinting and machine learning

One of the key shortcomings in the field of nanotechnology risk assessment is the lack of techniques capable of source tracing of nanoparticles (NPs). Silica is the most-produced engineered nanomaterial and also widely present in the natural environment in diverse forms. Here we show that inherent i...

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Detalles Bibliográficos
Autores principales: Yang, Xuezhi, Liu, Xian, Zhang, Aiqian, Lu, Dawei, Li, Gang, Zhang, Qinghua, Liu, Qian, Jiang, Guibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6453897/
https://www.ncbi.nlm.nih.gov/pubmed/30962437
http://dx.doi.org/10.1038/s41467-019-09629-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6453897/
https://www.ncbi.nlm.nih.gov/pubmed/30962437
http://dx.doi.org/10.1038/s41467-019-09629-5

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