Underground Development of Mineral Subsoil Using Microorganisms: A Mini-Review

Authors

  • G. Jandieri Metallurgical Engineering and Consulting Ltd, 8 Akhvlediani Str., 0109, Tbilisi, Georgia
  • D. Sakhvadze Metal Powder Ltd, 13 Kavtaradze Str., 0186, Tbilisi, Georgia
  • B. Schukin Bio Fertilizer Ltd, 77 Gorgasali Str., Ortachala, 0114, Tbilisi, Georgia

DOI:

https://doi.org/10.15407/microbiolj85.04.066

Keywords:

ANFIS controller, bacterial leaching, ore-bearing deposits, heavy metal extraction

Abstract

This mini-review is devoted to the analysis of the current state of the relatively rarely used underground bio-mining of natural minerals. On the basis of this analysis, it is substantiated that bacterial leaching technology has no alternative for environmentally safe and economically break-even mining of ore-bearing rocks and off -balance metal-bearing formations that are difficult to access, or unprofitable for traditional methods. It is emphasized that the efficiency of biotechnology depends on the accuracy of modeling and operational control of the working parameters of the process of biological extraction of metals, for which it is necessary to develop a new combined hydro-technical system with the possibility of the reverse technological influence on the regimes of leaching. Such controlled modes of the process are the intensity of forced aeration, pH level of the bacterial solution, amount of nutrient medium, and duration of leaching. To improve the accuracy of prediction and control of underground microbiological development, the use of a control method based on an adaptive-network-based fuzzy inference system (ANFIS) is recommended.

Downloads

Download data is not yet available.

References

Levett A, Gleeson SA, Kallmeyer J. From exploration to remediation: A microbial perspective for innovation in mining. Earth-Science Reviews. 2021; 216:103563. https://doi.org/10.1016/j.earscirev.2021.103563

Chingwaru W, Vidmar J, & Chingwaru C. Potential of biotechnology for metals extraction in Zimbabwe: a review. Journal of the Southern African Institute of Mining and Metallurgy. 2017; 117(4):381-386. https://doi.org/10.17159/2411-9717/2017/v117n4a10

Natarajan KA. Biotechnology of metals: principles, recovery methods and environmental concerns. Book. Amsterdam, Netherland: Elsevier. 2018; 488 p.

Jandieri G, Sakhvadze D, Raphava A, Tsirekidze T. Development of innovative technology of manganese bio-extraction from ferroalloys production slags and slimes with obtaining of new products. Probl Environ Biotechnol. 2014. https://doi.org/10.18372/2306-6407.2.7465

Dopson M, Lindstrom EB. Potential role of Thiobacillus caldus in Arsenopyrite bioleaching. Appl Environ Microbiol. 1999; 65(1):36-40. https://doi.org/10.1128/AEM.65.1.36-40.1999

Blajda IA. Izvlechenie cennyh metallov pri pererabotke promyshlennyh othodov biotehnologicheskimi metodami (Extraction of valuable metals in the processing of industrial waste by biotechnological methods). Energotehnologii i resursosberezhenie. 2010; 6:39-45.

Blajda IA. [The use of biohydrometallurgical technologies in solving the problems of utilization of technogenic waste with the production of valuable metals]. Kompleksnoe ispolzovanie mineralnogo syrya. 2015; 3:75-82. russian.

Zheng X, Li D. Synergy between Rhizobium phaseoli and Acidithiobacillus ferrooxidans in the Bioleaching Process of Copper. BioMed Research International. 2016; 9384767. https://doi.org/10.1155/2016/9384767

Xuecheng Zheng, Dongwei Li. Interaction of Acidithiobacillus ferrooxidans, Rhizobium phaseoli and Rhodotorula sp. in bioleaching process based on Lotka-Volterra model. Electronic Journal of Biotechnology. 2016; 22:90-97. https://doi.org/10.1016/j.ejbt.2016.06.004

Shruti Vyas, Yen-Peng Ting. Microbial leaching of heavy metals using Escherichia coli and evaluation of bioleaching mechanism. Bioresource Technology Reports. 2020; 9:100368. https://doi.org/10.1016/j.biteb.2019.100368

Horst M, Wickus S. A new mining concept for extraction metals from deep ore deposits by using biotechnology. D7.4 Identification of potential zones where the BIOMOre process can be implemented in future. 2018; 86 p.

Hallberg KB, Grail BM, Plessis CA. Du, & Johnson DB. Reductive dissolution of ferric iron minerals: A new approach for bio-processing nickel laterites. Minerals Engineering. 2011; 24:620-624. https://doi.org/10.1016/j.mineng.2010.09.005

Levett A, Gleeson SA, Kallmeyer J. From exploration to remediation: A microbial perspective for innovation in mining. Earth-Science Reviews. 2021; 216:103563. https://doi.org/10.1016/j.earscirev.2021.103563

Jandieri G. A generalized model for assessing and intensifying the recycling of metal-bearing industrial waste: A new approach to the resource policy of manganese industry in Georgia. Resource Policy. 2022; 75:S0301420721004700. https://doi.org/10.1016/j.resourpol.2021.102462

Jandieri G, Sakhvadze D. & Raphava A. Manganese Biomining from Manganese-Bearing Industrial Wastes of Georgia. J Inst Eng India Ser D. 2020; 101:303-316. https://doi.org/10.1007/s40033-020-00235-0

Dong B, Jia Y, Tan Q, Sun H, Ruan R. Contributions of Microbial "Contact Leaching" to Pyrite Oxidation under Different Controlled Redox Potentials. Minerals. 2020; 10(10):856. https://doi.org/10.3390/min10100856

Chuncheng Wu, Mengying Jiang, Lichun Hsieh, Yuchen Cai, Yutao Shen, Haizhen Wang, Qi Lin, Chaofeng Shen, Baolan Hu, Liping Lou. Feasibility of bioleaching of heavy metals from sediment with indigenous bacteria using agricultural sulfur soil conditioners. Science of the Total Environment. 2020; 703:134812. https://doi.org/10.1016/j.scitotenv.2019.134812

Roberto FF, Schippers A. Progress in bioleaching: part B, applications of microbial processes by the minerals industries. Appl Microbiol Biotechnol. 2022; 106:5913-5928. https://doi.org/10.1007/s00253-022-12085-9

Vera M, Schippers A, Hedrich S, et al. Progress in bioleaching: fundamentals and mechanisms of microbial metal sulfide oxidation - part A. Appl Microbiol Biotechnol. 2022; 106:6933-6952. https://doi.org/10.1007/s00253-022-12168-7

Alikulov ShSh, Alimov MU, Norkulov AN. Underground leaching of uranium using microorganisms. Journal of Advances in Engineering Technology. 2022; 3(7).

Schlueter R, Mischo H. In-situ underground bioleaching - novel-conditioning technologies. Conference: SME Annual Meeting and Conference At: Denver Convention Center, Denver, CO, USA. 2015; Preprint 15-062:1-5.

Leiva C, Flores V, Salgado F, Poblete D, Acuña L. Applying Softcomputing for Copper Recovery in Leaching Process. Scientific Programming. 2017; 6459582:1-6. https://doi.org/10.1155/2017/6459582

McBride D, Gebhardt J, Croft N, Cross M. Heap Leaching: Modelling and Forecasting Using CFD Technology. Minerals. 2018; 8:9. https://doi.org/10.3390/min8010009

Jin-Kyu Kang, Kang-Hee Cho, Song-Bae Kim, Nag-Choul Choi. Artificial Neural Network Modeling for Prediction of Dynamic Changes in Solution from Bioleaching by Indigenous Acidophilic Bacteria. Applied Sciences. 2020; 10:7569. https://doi.org/10.3390/app10217569

Vakylabad AB, Schaffie M, Naseri A, Ranjbar M, Manafi Z. Optimization of staged bioleaching of low-grade chalcopyrite ore in the presence and absence of chloride in the irrigating lixiviant: ANFIS simulation. Bioprocess Biosyst Eng. 2016; 39(7):1081-104. https://doi.org/10.1007/s00449-016-1586-9

Pham DT, Nguyenthihong D, & Vovan T. Improving the ANFIS Forecating Model for Time Series Based on the Fuzzy Cluster Analysis Algorithm. International Journal of Fuzzy System Applications (IJFSA). 2022; 11(1):1-20. https://doi.org/10.4018/IJFSA.313602

Young A, Rogers PA. Review of Digital Transformation in Mining. Mining, Metallurgy & Exploration. 2019; 36:683-699. https://doi.org/10.1007/s42461-019-00103-w

Utkarsh Chadha, et al. AI-driven techniques for controlling the metal melting production: a review, processes, enabling technologies, solutions, and research challenges. Mater Res Express. 2022; 9:072001. https://doi.org/10.1088/2053-1591/ac7b70

Kumar M, Singh G, Kumar Arya S, Singh Bhatti J, Sharma P. Artificial Neuro-Fuzzy Inference System (ANFIS) based validation of laccase production using RSM model. Biocatalysis and Agricultural Biotechnology. 2018; 14:235-240. https://doi.org/10.1016/j.bcab.2018.03.016

Mokarian P, Bakhshayeshi I, Taghikhah F, Boroumand Y, Erfani E, Razmjou A. The advanced design of bioleaching process for metal recovery: A machine learning approach. Separation and Purification Technology. 2022; 291:120919. https://doi.org/10.1016/j.seppur.2022.120919

Jandieri G, Janelidze I, & Sakhvadze D. Theoretical Prerequisites for The Formation of a Paradigm of Synergy Between Human and Artificial Intelligence in Solving the Problems of Circular Transformation of Metallurgical Enterprises. Sciences of Europe. 2023; 114:96-101. https://doi.org/10.5281/zenodo.7811570

Downloads

Published

2023-08-16

How to Cite

Jandieri, G., Sakhvadze, D., & Schukin, B. (2023). Underground Development of Mineral Subsoil Using Microorganisms: A Mini-Review. Mikrobiolohichnyi Zhurnal, 85(4), 66-71. https://doi.org/10.15407/microbiolj85.04.066
Received 2023-04-09
Accepted 2023-05-30
Published 2023-08-16