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dc.contributor.author
Nowack, Bernd
dc.contributor.author
Baalousha, Mohamed
dc.contributor.author
Bornhöft, Nikolaus
dc.contributor.author
Chaudhry, Qasim
dc.contributor.author
Cornelis, Geert
dc.contributor.author
Cotterill, Jane
dc.contributor.author
Gondikas, Andreas
dc.contributor.author
Hassellöv, Martin
dc.contributor.author
Lead, Jamie
dc.contributor.author
Mitrano, Denise
dc.contributor.author
von der Kammer, Frank
dc.contributor.author
Wontner-Smith, Tim
dc.date.accessioned
2021-02-18T14:43:30Z
dc.date.available
2021-02-17T10:23:11Z
dc.date.available
2021-02-18T14:43:30Z
dc.date.issued
2015-10-01
dc.identifier.issn
2051-8153
dc.identifier.issn
2051-8161
dc.identifier.other
10.1039/c5en00100e
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/469956
dc.description.abstract
Environmental exposure modeling has been used extensively in the last years to obtain estimates of environmental concentrations of engineered nanomaterials (ENMs). In this perspective piece, we explore the issues when aiming to validate modeled environmental concentrations and propose options for both modelers and analytical chemists on how to proceed in the future to better compliment one another's efforts. In this context, validation means to determine the degree to which the simulation results from a model are accurate representations of the real world by comparison with analytical data. Therefore, for such a model validation procedure, analytical methods need to be available which provide information in the same subject area. Currently, a major issue with nanometrology is that a multitude of nanomaterials are present in natural systems but only some are ENMs; various other particles of natural origin are abundant in the same systems. The analytical tools available are not yet capable to distinguish the natural from engineered nanomaterials at the low ENM concentrations expected in complex environmental matrices. However, both modeling and analytical studies are able to provide an orthogonal view on nanomaterials: modeling is able to yield estimates of the presence of ENMs in various environmental compartments while analytics can provide physical characterization of ENMs in these systems with hints towards the total nanomaterial concentration. While we need to make strides to improve the two approaches separately, using the resulting data together in a mutually supportive way will advance the field of ENM risk assessment. © The Royal Society of Chemistry 2015.
en_US
dc.language.iso
en
en_US
dc.publisher
Royal Society of Chemistry
en_US
dc.title
Progress towards the validation of modeled environmental concentrations of engineered nanomaterials by analytical measurements
en_US
dc.type
Journal Article
dc.date.published
2015-07-10
ethz.journal.title
Environmental Science: Nano
ethz.journal.volume
2
en_US
ethz.journal.issue
5
en_US
ethz.journal.abbreviated
Environ. Sci.: Nano
ethz.pages.start
421
en_US
ethz.pages.end
428
en_US
ethz.publication.place
Cambridge
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02721 - Inst. f. Biogeochemie u. Schadstoffdyn. / Inst. Biogeochem. and Pollutant Dynamics::09717 - Mitrano, Denise M. / Mitrano, Denise M.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02721 - Inst. f. Biogeochemie u. Schadstoffdyn. / Inst. Biogeochem. and Pollutant Dynamics::09717 - Mitrano, Denise M. / Mitrano, Denise M.
en_US
ethz.date.deposited
2021-02-17T10:23:23Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-02-18T14:43:45Z
ethz.rosetta.lastUpdated
2021-02-18T14:43:45Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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