Ecotoxicological read-across models for predicting acute toxicity of freshly dispersed versus medium-aged NMs to Daphnia magna.

Animals Daphnia Ecotoxicology Nanostructures
Ecological corona Machine learning Nanoinformatics Nanomaterials ageing Nanosafety Read-across

Journal

Chemosphere
ISSN: 1879-1298
Titre abrégé: Chemosphere
Pays: England
ID NLM: 0320657

Informations de publication

Date de publication:
Dec 2021
Historique:
received: 24 04 2021
revised: 29 06 2021
accepted: 04 07 2021
pubmed: 16 7 2021
medline: 29 10 2021
entrez: 15 7 2021
Statut: ppublish

Résumé

Nanoinformatics models to predict the toxicity/ecotoxicity of nanomaterials (NMs) are urgently needed to support commercialization of nanotechnologies and allow grouping of NMs based on their physico-chemical and/or (eco)toxicological properties, to facilitate read-across of knowledge from data-rich NMs to data-poor ones. Here we present the first ecotoxicological read-across models for predicting NMs ecotoxicity, which were developed in accordance with ECHA's recommended strategy for grouping of NMs as a means to explore in silico the effects of a panel of freshly dispersed versus environmentally aged (in various media) Ag and TiO

Identifiants

DOI: 10.1016/j.chemosphere.2021.131452 PMID: 34265725
pubmed: 34265725
pii: S0045-6535(21)01924-X
doi: 10.1016/j.chemosphere.2021.131452
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

131452

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Auteurs

Dimitra-Danai Varsou (DD)

Nanoinformatics Department, NovaMechanics Ltd, Nicosia, Cyprus.

Laura-Jayne A Ellis (LA)

School of Geography, Earth and Environmental Sciences, University of Birmingham, B15 2TT, Birmingham, UK.

Antreas Afantitis (A)

Nanoinformatics Department, NovaMechanics Ltd, Nicosia, Cyprus.

Georgia Melagraki (G)

Division of Physical Sciences and Applications, Hellenic Military Academy, Vari, Greece. Electronic address: gmelagraki@sse.gr.

Iseult Lynch (I)

School of Geography, Earth and Environmental Sciences, University of Birmingham, B15 2TT, Birmingham, UK. Electronic address: i.lynch@bham.ac.uk.

Articles similaires

Evaluating the efficacy of telesurgery with dual console SSI Mantra Surgical Robotic System: experiment on animal model and clinical trials.

Sudhir Prem Srivastava, Vishwajyoti Pascual Srivastava, Avinesh Singh et al.
1.00
Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell

FBXO22 inhibits colitis and colorectal carcinogenesis by regulating the degradation of the S2448-phosphorylated form of mTOR.

Minle Li, Xuan Chen, Pengfei Qu et al.
1.00
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice

Use of organic material provided by an automatic enrichment device by weaner pigs and its influence on tail lesions.

Philipp Heseker, Jeanette Probst, Stefanie Ammer et al.
1.00
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Ecotoxicological read-across models for...
questionsmedicales.fr › Eucaryotes › Animaux › Invertébrés › Arthropodes › Crustacea › Cladocera › Daphnia › Ecotoxicological read-across models for...
questionsmedicales.fr › Professions de santé › Toxicologie › Écotoxicologie › Ecotoxicological read-across models for...
questionsmedicales.fr › Technologie, industrie et agriculture › Produits manufacturés › Nanostructures › Ecotoxicological read-across models for...