Study on the Competitive Adsorption of Dimethoate with Multiple Pesticides and Heavy Metals Based on Fractional Factorial Design

Bing Chuan Cheng; Lin Liu; Xiao Yu Cai; Meng Wang; Yu Li

doi:10.4028/www.scientific.net/AMR.864-867.229

Paper Titles

Supercritical CO₂ Extraction of Plumula nelumbinis Oil Rich in γ-Sitosterol Using Response Surface Methodology
p.213

Organic Complex Chelators for Stabilization of Heavy Metals in Fly Ash
p.217

Optimization of the Heterologous Expression of Sesuvium portulacastrum Betaine Aldehyde Dehydrogenase in Escherichia coli
p.221

Continuous Biohydrogen Production with CSTR Reactor under High Organic Loading Rate Condition
p.225

Study on the Competitive Adsorption of Dimethoate with Multiple Pesticides and Heavy Metals Based on Fractional Factorial Design
p.229

A Preliminary Study on Mercury Pollution in Fish and Shellfish from Jiaozhou Bay in North of China
p.234

Effects of Submergence and Nitrogen Concentration on the Resources Utilization of Alternanthera philoxeroides
p.239

Cadmium Impairs Early Seedling Growth, Mineral and Carbohydrate Mobilization during the Germination of Rice Seeds
p.243

Research on Nitrogen and Phosphorus Release from Sediments in Small Inland Freshwater Lakes
p.248

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 864-867Study on the Competitive Adsorption of Dimethoate...

Study on the Competitive Adsorption of Dimethoate with Multiple Pesticides and Heavy Metals Based on Fractional Factorial Design

Abstract:

In order to reveal the composite contaminations characteristic of dimethoate adsorption onto the surficial sediments, the competitive adsorption of dimethoate in pesticide (dimethoate, metalaxyl, atrazine, malathion, and prometryn)/heavy metals (copper, zinc, lead, cadmium and nickel) system is investigated. A 2^10-5 fractional factorial design method at resolution IV and a multiple linear regression adsorption model are used to identify the main effects and interactions of above ten pollutions. The adsorption amount of dimethoate surficial sediments is set as the dependent variable, and the main effects and second-order interactions of ten pollutions are set as independent variables. Thus, a multiple linear regression model of dimethoate adsorption is screened and established. The results of model show that the main effects of Cd, malathion and prometryn performed a significant antagonistic effect (α=0.05) on the adsorption of dimethoate onto the sediment (competitive adsorption effects), and the order is: prometryn (-0.0925) > Cd (-0.0878) > malathion (-0.0827); while heavy metal Zn performed a significant synergy effect on the adsorption of dimethoate. The second-order interaction effects of Zn*prometryne, Pb*atrazine and Pb*atrazine has a significant antagonistic impact on the adsorption of dimethoate in sediments, which is in a sequence of Zn*prometryne (-0.0967) > Pb*atrazine (-0.0945) > Cd*atrazine (-0.0922). Moreover, according to the rate of contributions of main effects and second-order interaction effects in composite contaminations system, we can also estimate and definite the pollution levels of target pollutant.