Prediction of cytotoxicity of heavy metals adsorbed on nano-TiO2 with periodic table descriptors using machine learning approaches

Prediction of cytotoxicity of heavy metals adsorbed on nano-TiO2 with periodic table descriptors using machine learning approaches

Nanoparticles with their unique features have attracted researchers over the past decades. Heavy metals, upon release and emission, may interact with different environmental components, which may lead to co-exposure to living organisms. Nanoscale titanium dioxide (nano-TiO2) can adsorb heavy metals....

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Bibliographic Details
Main Authors: Joyita Roy, Souvik Pore, Kunal Roy
Format: Article
Language:English
Published: Beilstein-Institut 2023-09-01
Series:Beilstein Journal of Nanotechnology
Subjects:
heavy metals
hk-2 cell
ml algorithm
periodic table descriptors
qsar
Online Access:https://doi.org/10.3762/bjnano.14.77

Internet

https://doi.org/10.3762/bjnano.14.77

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