Enhancing recovery of uranium column bioleaching by process optimization and kinetic modeling

被引:22
作者
Zare Tavakoli, H. [1 ]
Abdollahy, M. [1 ]
Ahmadi, S. J. [2 ]
Khodadadi Darban, A. [1 ]
机构
[1] Tarbiat Modares Univ, Min Engn Dept, Tehran 14115116, Iran
[2] Nucl Sci & Technol Res Inst, Tehran 113658486, Iran
关键词
column bioleaching; uranium ore; screening; optimization; kinetic model; Acidithiobacillus ferrooxidans; THIOBACILLUS-FERROOXIDANS; ORE; DISSOLUTION; EXTRACTION; OXIDATION; MECHANISM; SULFIDES; REACTORS; SULFUR; PYRITE;
D O I
10.1016/S1003-6326(17)60298-X
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
This research aimed to enhance the column bioleaching recovery of uranium ore by Acidithiobacillus ferrooxidans. Seven factors were examined for their significance on bioleaching using a Plackett-Burman factorial design. Four significant variables ([Fe2+] initial, pH, aeration rate and inoculation percent) were selected for the optimization studies. The effect of these variables on uranium bioleaching was studied using a central composite design (CCD). The optimal values of the variables for the maximum uranium bioleaching recovery (90.27 +/- 0.98)% were as follows: [Fe2+] initial= 2.89 g/L, aeration rate 420 mL/min, pH 1.45 and inoculation 6% (v/v). [Fe2+] initial was found to be the most effective parameter. The maximum uranium recovery from the predicted models was 92.01%. This value was in agreement with the actual experimental value. The analysis of bioleaching residue of uranium ore under optimum conditions confirmed the formation of K-jarosite on the surface of minerals. By using optimal conditions, uranium bioleaching recovery is increased at column and jarosite precipitation is minimized. The kinetic model showed that uranium recovery has a direct relation with ferric ion concentration.
引用
收藏
页码:2691 / 2703
页数:13
相关论文
共 50 条
  • [21] Simultaneous recovery of valuable metal ions and tailings toxicity reduction using a mixed culture bioleaching process
    Liao, Xiaojian
    Ye, Maoyou
    Li, Shoupeng
    Liang, Jialin
    Zhou, Siyu
    Fang, Xiaodi
    Gan, Qiaowei
    Sun, Shuiyu
    JOURNAL OF CLEANER PRODUCTION, 2021, 316
  • [22] The advanced design of bioleaching process for metal recovery: A machine
    Mokarian, Parastou
    Bakhshayeshi, Ivan
    Taghikhah, Firouzeh
    Boroumand, Yasaman
    Erfani, Eila
    Razmjou, Amir
    SEPARATION AND PURIFICATION TECHNOLOGY, 2022, 291
  • [23] Bioleaching process for silver recovery: Structural and rheological studies
    Nunez Ramirez, D. M.
    Medina-Torres, L.
    Calderas, F.
    Lara, Rene H.
    Medrano Roldan, H.
    Manero, O.
    MINERALS ENGINEERING, 2018, 121 : 122 - 128
  • [24] Modeling and multi-optimization of thermal section of Claus process based on kinetic model
    Kazempour, H.
    Pourfayaz, F.
    Mehrpooya, M.
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2017, 38 : 235 - 244
  • [25] The Effect of Particle Size, Irrigation Rate and Aeration Rate on Column Bioleaching of Uranium Ore
    Tavakoli, H. Zare
    Abdollahy, M.
    Ahmadi, S. J.
    Darban, A. Khodadadi
    RUSSIAN JOURNAL OF NON-FERROUS METALS, 2017, 58 (03) : 188 - 199
  • [26] Enhanced bioleaching of granite-type uranium ore pretreated by microwave: process optimisation and kinetics
    Liu, Chao
    Liao, Bingyou
    Nie, Shiyong
    Wang, Xuegang
    Sun, Zhanxue
    Wang, Jian
    Ke, Pingchao
    JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY, 2021, 329 (02) : 1045 - 1060
  • [27] Bioleaching of End-of-Life Printed Circuit Boards: Mathematical Modeling and Kinetic Analysis
    Becci, Alessandro
    Amato, Alessia
    Rodriguez-Maroto, Jose M.
    Beolchini, Francesca
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, 60 (11) : 4261 - 4268
  • [28] Simultaneous recovery of Ni and Cu from computer-printed circuit boards using bioleaching: Statistical evaluation and optimization
    Arshadi, M.
    Mousavi, S. M.
    BIORESOURCE TECHNOLOGY, 2014, 174 : 233 - 242
  • [29] Optimization of bioleaching high-fluorine and low-sulfur uranium ore by response surface method
    Zhou, Zhongkui
    Yang, Zhihui
    Sun, Zhanxue
    Chen, Gongxin
    Xu, Lingling
    Liao, Qi
    JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY, 2019, 322 (02) : 781 - 790
  • [30] Modeling, optimization and kinetic analysis of the hydrolysis process of waste cocoa pod husk to reducing sugars
    Mensah, Mary
    Asiedu, Nana Yaw
    Neba, Fabrice Abunde
    Amaniampong, Prince Nana
    Boakye, Patrick
    Addo, Ahmad
    SN APPLIED SCIENCES, 2020, 2 (07):