Assessing the ecotoxicity of multicomponent nanomaterials using a classification SAR approach

A classification SAR approach is developed for the ecotoxicity assessment of multicomponent nanomaterials. Using their structure and composition, the nanomaterials are classified for toxicity towards Bacteria, Eukaryotes, Crustacean, Plants, Fish.

Authors

Institutions

Publication Details

Journal
Environmental Science Nano
Published
2025-01-01
DOI
https://doi.org/10.1039/d4en01183j
Citations
2
Primary Topic
Nanoparticles: synthesis and applications
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the ecotoxicity of multicomponent nanomaterials using a classification SAR approach

Ioannis G. Aviziotis, Costas A. Charitidis, Georgios P. Gakis
2 citations
Environmental Science Nano
Nanoparticles: synthesis and applications
1.04
article

Assessing the ecotoxicity of multicomponent nanomaterials using a classification SAR approach

Ioannis G. Aviziotis, Costas A. Charitidis, Georgios P. Gakis
article en
2 citations

Abstract

A classification SAR approach is developed for the ecotoxicity assessment of multicomponent nanomaterials. Using their structure and composition, the nanomaterials are classified for toxicity towards Bacteria, Eukaryotes, Crustacean, Plants, Fish.

Environmental Science NanoVol. 12(5)
National Technical University of Athens (GR)
Hellenic Academic Libraries Link, Horizon 2020 Framework Programme
Openalex Percentile: Top 26%
Nanoparticles: synthesis and applications
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.