Towards an in silico integrated approach for testing and assessment of nanomaterials: from predicted indoor air concentrations to lung dose and biodistribution

P. Tsiros; N. Cheimarios; A. Tsoumanis; A. C. Ø. Jensen; G. Melagraki; I Lynch; H. Sarimveis; A. Afantitis

doi:10.1039/d1en00956g

Towards an in silico integrated approach for testing and assessment of nanomaterials: from predicted indoor air concentrations to lung dose and biodistribution

P. Tsiros, N. Cheimarios, A. Tsoumanis, A. C. Ø. Jensen, G. Melagraki, I Lynch, H. Sarimveis, A. Afantitis

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Originalsprog	Engelsk
Tidsskrift	Environmental Science: Nano
Vol/bind	9
Sider (fra-til)	1282-1297
ISSN	2051-8153
DOI	https://doi.org/10.1039/d1en00956g
Status	Udgivet - mar. 2022

Adgang til dokumentet

10.1039/d1en00956g

NANOsolveIT: Innovative Nanoinformatics models and tools: towards a Solid, verified and Integrated Approach to Predictive (eco)Toxicology
Jensen, K. A. (Projektleder), Fonseca, A. S. (Projektdeltager) & Jensen, A. C. Ø. (Projektdeltager)
01/01/2019 → 31/08/2023
Projekter: Projekt › Forskning

Citationsformater

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title = "Towards an in silico integrated approach for testing and assessment of nanomaterials: from predicted indoor air concentrations to lung dose and biodistribution",

author = "P. Tsiros and N. Cheimarios and A. Tsoumanis and Jensen, {A. C. {\O}.} and G. Melagraki and I Lynch and H. Sarimveis and A. Afantitis",

year = "2022",

month = mar,

doi = "10.1039/d1en00956g",

language = "English",

volume = "9",

pages = "1282--1297",

journal = "Environmental Science: Nano",

issn = "2051-8153",

publisher = "Royal Society of Chemistry",

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T1 - Towards an in silico integrated approach for testing and assessment of nanomaterials: from predicted indoor air concentrations to lung dose and biodistribution

AU - Tsiros, P.

AU - Cheimarios, N.

AU - Tsoumanis, A.

AU - Jensen, A. C. Ø.

AU - Melagraki, G.

AU - Lynch, I

AU - Sarimveis, H.

AU - Afantitis, A.

PY - 2022/3

Y1 - 2022/3

U2 - 10.1039/d1en00956g

DO - 10.1039/d1en00956g

M3 - Journal article

SN - 2051-8153

VL - 9

SP - 1282

EP - 1297

JO - Environmental Science: Nano

JF - Environmental Science: Nano

ER -

Towards an in silico integrated approach for testing and assessment of nanomaterials: from predicted indoor air concentrations to lung dose and biodistribution

Adgang til dokumentet

Projekter

NANOsolveIT: Innovative Nanoinformatics models and tools: towards a Solid, verified and Integrated Approach to Predictive (eco)Toxicology

Citationsformater