In vitro and in silico study of mixtures cytotoxicity of metal oxide nanoparticles to Escherichia coli: a mechanistic approach-Reference-Cited by-同舟云学术

In vitro and in silico study of mixtures cytotoxicity of metal oxide nanoparticles to Escherichia coli: a mechanistic approach

Published:2022-05-28 Issue:5 Volume:16 Page:566-579
ISSN:1743-5390
Container-title:Nanotoxicology
language:en
Short-container-title:Nanotoxicology

Author:

Kar Supratik¹²^ORCID,Pathakoti Kavitha²³,Leszczynska Danuta²⁴,Tchounwou Paul B.²³,Leszczynski Jerzy²^ORCID

Affiliation:

1. Chemometrics and Molecular Modeling Laboratory, Department of Chemistry, Kean University, Union, NJ, USA

2. Interdisciplinary Center for Nanotoxicity, Department of Chemistry, Physics and Atmospheric Sciences, Jackson State University, Jackson, MS, USA

3. RCMI Center for Environmental Health, Department of Biology, Jackson State University, Jackson, MS, USA

4. Department of Civil and Environmental Engineering, Jackson State University, Jackson, MS, USA

Funder

National Science Foundation

National Institutes of Health

Publisher

Informa UK Limited

Subject

Toxicology,Biomedical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17435390.2022.2123750

Reference37 articles.

1. Administrator Memo Prioritizing Efforts to Reduce Animal Testing. 2019. (accessed April 15 10, 2022). https://www.epa.gov/sites/default/files/2019-09/documents/image2019-09-09-231249.pdf

2. Proxy Measures for Simplified Environmental Assessment of Manufactured Nanomaterials

3. Chung, E. J., L. Leon, and C. Rinaldi. 2019. Nanoparticles for Biomedical Applications, Fundamental Concepts, Biological Interactions and Clinical Applications. Amsterdam, The Netherlands: Elsevier, 440.

4. Determination of the mechanism of photoinduced toxicity of selected metal oxide nanoparticles (ZnO, CuO, Co3O4 and TiO2) to E. coli bacteria

5. Second generation periodic table-based descriptors to encode toxicity of metal oxide nanoparticles to multiple species: QSTR modeling for exploration of toxicity mechanisms

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Introducing third-generation periodic table descriptors for nano-qRASTR modeling of zebrafish toxicity of metal oxide nanoparticles;Beilstein Journal of Nanotechnology;2024-09-10

2. Computational Nanotoxicology and its Applications;Computational Toxicology for Drug Safety and a Sustainable Environment;2023-12-17

3. Machine learning-driven QSAR models for predicting the mixture toxicity of nanoparticles;Environment International;2023-07

4. An Insight into the Combined Toxicity of 3,4-Dichloroaniline with Two-Dimensional Nanomaterials: From Classical Mixture Theory to Structure-Activity Relationship;International Journal of Molecular Sciences;2023-02-13

5. Evaluating metal oxide nanoparticle (MeOx NP) toxicity with different types of nano descriptors mainly focusing on simple periodic table-based descriptors: a mini-review;Environmental Science: Nano;2023