SCI和EI收录∣中国化工学会会刊

中国化学工程学报 ›› 2019, Vol. 27 ›› Issue (8): 1945-1955.DOI: 10.1016/j.cjche.2018.12.027

• Energy, Resources and Environmental Technology • 上一篇    下一篇

Assessment of Cu (II) removal from an aqueous solution by raw Gundelia tournefortii as a new low-cost biosorbent: Experiments and modelling

Saba Golshan Shandi1, Faramarz Doulati Ardejani1, Fereydoun Sharifi2   

  1. 1 School of Mining, College of Engineering, University of Tehran, Tehran, Iran;
    2 Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran
  • 收稿日期:2018-10-14 修回日期:2018-12-13 出版日期:2019-08-28 发布日期:2019-11-16
  • 通讯作者: Faramarz Doulati Ardejani

Assessment of Cu (II) removal from an aqueous solution by raw Gundelia tournefortii as a new low-cost biosorbent: Experiments and modelling

Saba Golshan Shandi1, Faramarz Doulati Ardejani1, Fereydoun Sharifi2   

  1. 1 School of Mining, College of Engineering, University of Tehran, Tehran, Iran;
    2 Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran
  • Received:2018-10-14 Revised:2018-12-13 Online:2019-08-28 Published:2019-11-16
  • Contact: Faramarz Doulati Ardejani

摘要: Lignocellulosic materials can be used as biosorbent for refinement of the wastewaters when they are available in large quantities. Many studies were conducted to uptake Cu (II) ion from aqueous solutions. In this paper, the biosorption efficiency of Cu (II) ions from a synthetic aqueous solution was investigated using Gundelia tournefortii (GT), without any pre-treatment. Fourier transform infrared spectroscopy, scanning electron microscopy and determining the point of zero charge were employed to characterise the biosorbent. Batch experiments were performed to study the influence of pH, biosorbent dosage, contact time, temperature and initial Cu (II) concentration on Cu (II) removal. The biosorption isotherms were investigated using the Langmuir, Freundlich, Temkin and D-R isotherm models. The findings show that the biosorption isotherm was better fitted by the Langmuir equation and the maximum adsorption capacity of GT was found to be 38.7597 mg·g-1. The kinetics data were analysed by pseudo-first order, pseudo-second order, and intra-particle diffusion equations. The results indicate that the pseudosecond-order model was found to explain the adsorption kinetics most effectively. The values of thermodynamic parameters including Gibbs free energy (△G°), enthalpy (△H°), and entropy (△S°) demonstrate that the biosorption process was exothermic and spontaneous. The multiple nonlinear regression (MnLR) and artificial neural network (ANN) analyses were applied for the prediction of biosorption capacity. A relationship between the predicted and observed data was obtained and the results show that the MnLR and ANN models provided successful predictions.

关键词: Adsorption, Batch experiment, Kinetics, Isotherms, Thermodynamic, Multiple nonlinear regression, Artificial neural network

Abstract: Lignocellulosic materials can be used as biosorbent for refinement of the wastewaters when they are available in large quantities. Many studies were conducted to uptake Cu (II) ion from aqueous solutions. In this paper, the biosorption efficiency of Cu (II) ions from a synthetic aqueous solution was investigated using Gundelia tournefortii (GT), without any pre-treatment. Fourier transform infrared spectroscopy, scanning electron microscopy and determining the point of zero charge were employed to characterise the biosorbent. Batch experiments were performed to study the influence of pH, biosorbent dosage, contact time, temperature and initial Cu (II) concentration on Cu (II) removal. The biosorption isotherms were investigated using the Langmuir, Freundlich, Temkin and D-R isotherm models. The findings show that the biosorption isotherm was better fitted by the Langmuir equation and the maximum adsorption capacity of GT was found to be 38.7597 mg·g-1. The kinetics data were analysed by pseudo-first order, pseudo-second order, and intra-particle diffusion equations. The results indicate that the pseudosecond-order model was found to explain the adsorption kinetics most effectively. The values of thermodynamic parameters including Gibbs free energy (△G°), enthalpy (△H°), and entropy (△S°) demonstrate that the biosorption process was exothermic and spontaneous. The multiple nonlinear regression (MnLR) and artificial neural network (ANN) analyses were applied for the prediction of biosorption capacity. A relationship between the predicted and observed data was obtained and the results show that the MnLR and ANN models provided successful predictions.

Key words: Adsorption, Batch experiment, Kinetics, Isotherms, Thermodynamic, Multiple nonlinear regression, Artificial neural network