Development of a nano-QSAR model for predicting the toxicity of nano-metal oxide mixtures to <i>Aliivibrio fischeri</i>-Reference-Cited by-同舟云学术

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Development of a nano-QSAR model for predicting the toxicity of nano-metal oxide mixtures to Aliivibrio fischeri

Published:2023 Issue:1 Volume:10 Page:325-337
ISSN:2051-8153
Container-title:Environmental Science: Nano
language:en
Short-container-title:Environ. Sci.: Nano

Author:

Na Minju¹²,Nam Sang Hwan³^ORCID,Moon Kyonghwan²,Kim Jongwoon¹^ORCID

Affiliation:

1. Chemical Safety Research Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea

2. Department of Public Health, College of Health Science, Korea University, Seoul, Republic of Korea

3. Laboratory for Advanced Molecular Probing, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea

Abstract

In this study, we developed nano-mixture QSAR models using molecular dynamic (MD) descriptors to predict the toxicity of MONPs to A. fischeri.

Funder

Korea Research Institute of Chemical Technology

Horizon 2020 Framework Programme

Publisher

Royal Society of Chemistry (RSC)

Subject

General Environmental Science,Materials Science (miscellaneous)

Link

http://pubs.rsc.org/en/content/articlepdf/2023/EN/D2EN00672C

Reference35 articles.

1. Toxicity and mechanisms of action of titanium dioxide nanoparticles in living organisms

2. Health impact and safety of engineered nanomaterials

3. Multi-element analysis of single nanoparticles by ICP-MS using quadrupole and time-of-flight technologies

4. A chemoinformatics approach for the characterization of hybrid nanomaterials: safer and efficient design perspective

5. Reliable predictive computational toxicology methods for mixture toxicity: toward the development of innovative integrated models for environmental risk assessment

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