title: Using factorial experiments to study the toxicity of metal mixtures.
abstract: Two-level factorial experiments were employed in this study for understanding and predicting the toxicity of binary and ternary metal mixtures. Toxicity of metal mixtures with concentrations between the respective EC10 and EC80 values was experimentally measured. Models were fit to the experimental data and the resultant models were of high quality as reflected by R2 (coefficient of determination). Interactions between mixture components were indicated by the existence of statistically significant interaction terms in the models. Toxicity predictions based on the models were compared with observed toxicity for binary and ternary metal mixtures. The models developed did not assume additivity between metals, were simple and interpretable, and gave satisfactory predictions of the toxicity of metal mixtures in aqueous solutions without requiring knowledge on synergism or antagonism.
authors.affiliation: Department of Statistics, 331 Stokely Management Center, University of Tennessee, Knoxville, TN 37996, USA. sren@engr.utk.edu
authors.forename: Shijin
authors.initials: S
authors.lastname: Ren
authors.forename: Robert W
authors.initials: RW
authors.lastname: Mee
authors.forename: Paul D
authors.initials: PD
authors.lastname: Frymier
mesh_terms: D001426:Bacterial Proteins / Q000032:analysis*; D002104:Cadmium / Q000633:toxicity; D003300:Copper / Q000633:toxicity; D004784:Environmental Monitoring; D005163:Factor Analysis, Statistical; D005544:Forecasting; D007854:Lead / Q000633:toxicity; D008163:Luminescent Measurements; D008962:Models, Theoretical; D014874:Water Pollutants, Chemical / Q000633:toxicity*
chemical_list: D001426:Bacterial Proteins; D014874:Water Pollutants, Chemical; D002104:Cadmium; D007854:Lead; D003300:Copper