화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Journal of Industrial and Engineering Chemistry, Vol.48, 162-172, April, 2017
DOI10.1016/j.jiec.2016.12.035  Export Citation
Highly efficient simultaneous biosorption of Hg2+, Pb2+ and Cu2+ by Live yeast Yarrowia lipolytica 70562 following response surface methodology optimization: Kinetic and isotherm study
Ebrahim Alipanahpour Dil, Mehrorang Ghaedi†, Gholam Reza Ghezelbash1, †, Arash Asfaram, and Mihir Kumar Purkait2
  • Chemistry Department, Yasouj University, Yasouj, 75918-74831, Iran
  • 1Biology Department, Faculty of Science, Shahid Chamran University of Ahvaz, 61357-831351, Iran
  • 2Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
E-mail:,
In this research, biosorption of Hg2+, Pb2+ and Cu2+ from aqueous solution via Yarrowia lipolytica 70562 living mass was described. Correction and dependency of biosorption efficiency to effective variables like pH, initial Hg2+, Pb2+ and Cu2+ concentration, contact time and temperature was studied by central composite design under response surface methodology. Three responses were simultaneously studied by numerical optimization methodology. The optimum biosorption efficiency of Hg2+, Pb2+ and Cu2+ ions at 18, 22 and 25 mg L-1 onto Y. lipolytica 70562 was found to be 99.26%, 101.15% and 99.74% at pH of 6.4 and 25 C after around 8 h under well mixing. Finally, optimum condition for acceptable and repeatable agreement among experimental and real data was explored. The artificial neural network (ANN) model was used for predicting simultaneous biosorption of Hg2+, Pb2+ and Cu2+ ions based on experimental data. It was found that using ANN model with 12 neurons at hidden layer for all three ions, the R2 of 0.989 and MSE of 993 for Hg2+ ion were obtained. The R2 of 0.981 and MSE of 1.155 for Pb2+ ion were obtained and also for Cu2+ ion the values of the R2 and MSE were found to be 0.971 and 1.589, respectively. Langmuir isotherm model was best fitted with the equilibrium experimental. The experimental kinetic data was represented well by using pseudo-second-order model and intraparticle diffusion model.
Keywords:Artificial neural network;Kinetic and isotherm;Response surface methodology;Simultaneous biosorption;Yarrowia lipolytica 70562
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