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Determination of optimum isotherm and kinetic models for phosphate sorption onto iron oxide nanoparticles: nonlinear regression with various error functions

机译:确定磷酸盐吸附在氧化铁纳米颗粒上的最佳等温线和动力学模型:具有各种误差函数的非线性回归

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摘要

The aim of this study was to determine optimum kinetic and isotherm models for phosphate (P) sorption onto iron oxide nanoparticles through nonlinear regression analysis. Equilibrium batch experiments were conducted at the experimental conditions of initial P concentration=0.5-20mg/L, adsorbent doses=0.1, 0.2, 0.3, 0.4, 0.5, and 0.6g/L, and shaking time=24h. Kinetic batch experiments were also performed at the experimental conditions of initial P concentrations=1, 2, 4, 6, 8, and 10mg/L, adsorbent dose=0.6g/L, and shaking time=10min-24h. Six isotherm models (Langmuir, Freundlich, Temkin, Redlich-Peterson, Khan, and Sips) were used to analyze the equilibrium data through nonlinear regression analysis. Three kinetic models (pseudo-first-order, pseudo-second-order, and Elovich) were used to analyze the kinetic data through nonlinear regression. Error functions including the sum of the squared errors, hybrid fractional error function (HYBRID), average relative error, Marquardt's percent standard deviation, and sum of the absolute errors (EABS) were used to minimize the error distribution between experimental data and predicted model fits in the optimization process. To compare the five error values, the results of each set were normalized and summed. Considering both coefficient of determination (R-2) and Chi-square ((2)), the Redlich-Peterson (Freundlich) model was found to provide the best fit to the experimental data in the equilibrium model analyses, and the optimum parameter values were obtained by the HYBRID error function with the parameter values of K-R/a(R)=3.59-4.15mg/g and g=0.69-0.89 from the Redlich-Peterson model. Considering both R-2 and (2), the Elovich (or pseudo-second-order) model was found to provide the best fit to the kinetic data in the kinetic model analyses, and the optimum parameter values produced by the EABS error function with the parameter values of =(3.60x10(5))-(4.80x10(6))mg/g/h and =4.43-13.07g/mg from the Elovich model.
机译:这项研究的目的是通过非线性回归分析,确定磷酸盐(P)吸附在氧化铁纳米颗粒上的最佳动力学和等温线模型。在初始P浓度= 0.5-20mg / L,吸附剂量= 0.1、0.2、0.3、0.4、0.5和0.6g / L,摇动时间= 24h的实验条件下进行平衡分批实验。还以初始P浓度= 1、2、4、6、8和10mg / L,吸附剂剂量= 0.6g / L,振摇时间= 10min-24h的实验条件下进行动力学间歇实验。使用六个等温模型(Langmuir,Freundlich,Temkin,Redlich-Peterson,Khan和Sips)通过非线性回归分析来分析平衡数据。三种动力学模型(伪一阶,伪二阶和Elovich)用于通过非线性回归分析动力学数据。误差函数包括平方误差和,混合分数误差函数(HYBRID),平均相对误差,Marquardt标准偏差百分比和绝对误差和(EABS),用于最小化实验数据与预测模型拟合之间的误差分布在优化过程中。为了比较五个误差值,将每个集合的结果归一化并求和。同时考虑到确定系数(R-2)和卡方((2)),发现Redlich-Peterson(Freundlich)模型可以最理想地拟合平衡模型分析中的实验数据,并提供最佳参数值由Redlich-Peterson模型通过HYBRID误差函数获得参数值KR / a(R)= 3.59-4.15mg / g和g = 0.69-0.89。同时考虑到R-2和(2),发现Elovich(或伪二级)模型可以为动力学模型分析中的动力学数据提供最佳拟合,并且由EABS误差函数产生的最佳参数值为Elovich模型的参数值=(3.60x10(5))-(4.80x10(6))mg / g / h和= 4.43-13.07g / mg。

著录项

  • 来源
    《Desalination and water treatment》 |2016年第7期|3107-3118|共12页
  • 作者单位

    Seoul Natl Univ, Environm Funct Mat & Biocolloids Lab, Seoul 151921, South Korea;

    Seoul Natl Univ, Environm Funct Mat & Biocolloids Lab, Seoul 151921, South Korea;

    Seoul Natl Univ, Environm Funct Mat & Biocolloids Lab, Seoul 151921, South Korea;

    Seoul Natl Univ, Environm Funct Mat & Biocolloids Lab, Seoul 151921, South Korea;

    Seoul Natl Univ, Environm Funct Mat & Biocolloids Lab, Seoul 151921, South Korea;

    Seoul Natl Univ, Environm Funct Mat & Biocolloids Lab, Seoul 151921, South Korea|Seoul Natl Univ, Dept Rural Syst Engn, Seoul 151921, South Korea|Seoul Natl Univ, Res Inst Agr & Life Sci, Seoul 151921, South Korea;

    Korea Inst Sci & Technol, Ctr Water Resource Cycle Res, Seoul 136791, South Korea|Korea Univ, Grad Sch Convergence Green Technol & Policy, Seoul 136701, South Korea;

    Korea Inst Sci & Technol, Ctr Water Resource Cycle Res, Seoul 136791, South Korea;

    Korea Inst Sci & Technol, Ctr Water Resource Cycle Res, Seoul 136791, South Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Error function; Isotherm model; Iron oxide nanoparticle; Kinetic model; Nonlinear regression; Phosphate sorption;

    机译:误差函数;等温模型;氧化铁纳米颗粒;动力学模型;非线性回归;磷酸盐吸附;

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