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Title: Surface Interactions Affect the Toxicity of Engineered Metal Oxide Nanoparticles toward Paramecium
Date: 8/2012
  Link to Journal Abstract
Abstract: To better understand the potential impacts of engineered metal oxide nanoparticles (NPs) in the ecosystem, we investigated the acute toxicity of seven different types of engineered metal oxide NPs against Paramecium multimicronucleatum, a ciliated protozoan, using the 48 h LC50 (lethal concentration, 50%) test. Our results showed that the 48 h LC50 values of these NPs to Paramecium ranged from 0.81 (Fe2O3 NPs) to 9269 mg/L (Al2O3 NPs); their toxicity to Paramecium increased as follows: Al2O3 < TiO2 < CeO2 < ZnO < SiO2 < CuO < Fe2O3 NPs. On the basis of the Derjaguin–Landau–Verwey–Overbeek (DLVO) theory, interfacial interactions between NPs and cell membrane were evaluated, and the magnitude of interaction energy barrier correlated well with the 48 h LC50 data of NPs to Paramecium; this implies that metal oxide NPs with strong association with the cell surface might induce more severe cytotoxicity in unicellular organisms.
Non-technical Summary: In this study, the acute toxicity of seven different types of engineered metal oxide nanoparticles (NPs) against Paramecium multimicronucleatum, a ciliated protozoan, was investigated using the 48 h LC50 (lethal concentration, 50%) test in order to better understand the potential impacts of engineered metal oxide nanoparticles (NPs) in the ecosystem.
Content Emphasis Peer Reviewed Journal Article
Exposure Or Hazard Target Aquatic Ecosystem
Exposure Pathway Other/Unspecified
Method Of Study Environmental Study
Paper Type Environmental Fate and Transport
Particle Type Oxide
Production Method Engineered
Risk Exposure Group Ecosystem
Target Audience Technical Research
Citation: Chemical Research in Toxicology, 25(8): 1675-1681 (August 2012)
Publication: Chemical Research in Toxicology
Author: Li K, Chen Y, Zhang W, Pu Z, Jiang L, Chen Y
Volume: 25
Number: 8
Pages: 1675-1681
     


Last updated on September 6, 2012
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This work is supported in part by the Nanoscale Science and Engineering Initiative of the National Science Foundation
under NSF Award Number EEC-0118007.

 		 
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