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Modelling of the Joint Toxicity of Heavy Metals (Ni2+, Co2+, Cr3+ and Pb2+) on Photobacteria Based on the Factorial Experiment (24)
The joint toxicity of heavy metals (Ni2+, Co2+, Cr3+, Pb2+) and trends in toxicity were analysed by multiple linear regression and back propagation-artificial neural network models, using photobacteria as an indication organism in factorial experiments. The joint toxicity of Ni2+, Co2+, Cr3+ and Pb2+ mainly occurs through multiple interactions. Interactions between Ni2+, Co2+ and Cr3+ weaken the single toxicity and binary interaction of Pb2+. Binary or quaternary heavy metal mixtures exert mainly antagonistic effects, while ternary interactions are mainly synergistic. Increased concentrations of Pb2+, Cr3+ and Ni2+ corresponded with increased toxicity of the mixed system, but Co2+ showed the opposite trend. The toxic effects of the mixed system were greatest with high Cr3+ concentration, while Pb2+ exerted the smallest effect.
Keywords
Heavy Metal, Joint Toxicity, Factorial Experiment, Multiple Linear Regression, BP-ANN.
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