Saba Golshan Shandi, Faramarz Doulati Ardejani, Fereydoun Sharifi. Assessment of Cu (II) removal from an aqueous solution by raw Gundelia tournefortii as a new low-cost biosorbent: Experiments and modelling[J]. 中国化学工程学报(英文版), 2019,27(8):1945-1955. DOI: 10.1016/j.cjche.2018.12.027.
as a new low-cost biosorbent: Experiments and modelling[J]. 中国化学工程学报, 2019, 27(8): 1945-1955.
Saba Golshan Shandi, Faramarz Doulati Ardejani, Fereydoun Sharifi. Assessment of Cu (II) removal from an aqueous solution by raw Gundelia tournefortii as a new low-cost biosorbent: Experiments and modelling[J]. 中国化学工程学报(英文版), 2019,27(8):1945-1955. DOI: 10.1016/j.cjche.2018.12.027.DOI:
as a new low-cost biosorbent: Experiments and modelling[J]. 中国化学工程学报, 2019, 27(8): 1945-1955.DOI: 10.1016/j.cjche.2018.12.027.
Assessment of Cu (II) removal from an aqueous solution by raw Gundelia tournefortii as a new low-cost biosorbent: Experiments and modelling
摘要
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 pseudo
second-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
Keywords
references
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相关作者
Abdul Samad
Muhammad Imran Din
Mahmood Ahmed
Saghir Ahmad
Raza Khalid
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Aamir Abbas
Waqar Ahmad
相关机构
Institute of Chemistry, University of the Punjab
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2 Department of Chemical Engineering, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
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Key Laboratory of Coal Science and Technology, Ministry of Education, Taiyuan University of Technology