University of TehranInternational Journal of Mining and Geo-Engineering2345-693060220260601Performance assessment of structured and unstructured meshes in inversion of electrical resistivity and induced polarization surveys: Kabudan gold area, NE Iran11312210443310.22059/ijmge.2025.401349.595298ENSeyed MohammadSadatyan JouybariFaculty of Mining Engineering, Amirkabir University of Technology, Tehran, Iran.AhmadAfsharFaculty of Mining Engineering, Amirkabir University of Technology, Tehran, Iran.0000-0002-9963-733XHamid RezaRamaziFaculty of Mining Engineering, Amirkabir University of Technology, Tehran, Iran.Journal Article20250826This research investigated the inversion of electrical resistivity and induced polarization (IP) data acquired along geoelectrical profiles in the Kabudan gold prospect, Razavi Khorasan Province, northeastern Iran. To achieve higher modeling accuracy, two discretization schemes—structured quadrilateral meshes and unstructured triangular meshes—were implemented. The inversion results from both approaches were generally consistent and successfully depicted major subsurface geological features; however, the triangular mesh configuration achieved a lower RMS error and more effectively resolved fine-scale structural variations. Interpretation of the results delineated several geophysical anomalies, some of which showed strong agreement with drilling and assay data, most notably in borehole BH02. While resistivity models displayed the highest correlation with drill-core information, chargeability models provided complementary constraints for resolving sulfide-rich zones. Overall, the integration of geoelectrical survey results with drilling data proved to be a reliable approach for the detection of sulfide mineralization zones and for enhancing the resolution of subsurface structural interpretations.https://ijmge.ut.ac.ir/article_104433_7068569fe48c089491a567683f0859e0.pdfUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-693060220260601Assessment of potentially toxic elements (PTEs) in kaolin dust and associated human health risks near mining areas in eastern Iran12313010578010.22059/ijmge.2026.409947.595357ENAliNajmeddinSchool of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran.0000-0001-8408-0519Gholam RezaLashkaripourDepartment of Geology, College of Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.ZohreBoskabadiDepartment of Geology, College of Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.Journal Article20250924Following reports of silicosis outbreaks among refractory industry workers in eastern Iran, this study analyzed the chemical composition and mineralogical characteristics of mining-derived dust in Ghaenat city and its potential environmental impacts. This study was aimed to investigate the potentially toxic elements (PTEs) concentrations in mine dust and evaluate the human health risk assessment and health effects near mining areas. To achieve this goal, a series of instrumental analyses including XRD, XRF, and ICP-OES have been performed on dust particles. For the better risk assessment, the oral bioaccessibility of PTEs using a simple bioaccessibility extraction test (SBET) was also investigated. X-ray diffraction analysis of dust samples shows that quartz, kaolinite, pyrophyllite, and illite are more abundant, indicating the prevalence of silicates in the dust particles. Calculation of geoaccumulation index indicated that the median Igeo values decreased in the following order: As > S > Sr >> Al ≈ Li ≈ La ≈ Nd ≈ Cu ≈ Pb ≈ Fe ≈ Mg ≈ Zn. Bioaccessibility results revealed pronounced inter-element variability, with arsenic showing the highest bioaccessible fraction (up to 73.1%), particularly in samples collected from the mining area. Although all calculated hazard indices were below the accepted safety threshold, arsenic emerged as the primary contributor to potential health risk.https://ijmge.ut.ac.ir/article_105780_02d70493931ba94a003a00fc6bb030f1.pdfUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-693060220260601Modeling and control of Ag mill energy consumption based on ore hardness distribution in a large-scale iron ore plant13113710674910.22059/ijmge.2026.397207.595273ENMiladSfaram JooneghaniDepartment of Mining Engineering, Faculty of Engineering, University of Kashan, Kashan, Iran.Seyed MohammadRazavianDepartment of Mining Engineering, Faculty of Engineering, University of Kashan, Kashan, Iran.0000-0002-1537-203XMojtabaGhorbannejadGohare- farzanegan Pelletizing Project Management, Kerman.Journal Article20250625The performance of autogenous (AG) grinding circuits is highly sensitive to variations in ore hardness, particularly in dry processing operations with limited buffering capacity. This study investigated on the influence of ore hardness variability on the operational behavior of the AG mill in Line 3 of the Gole-Gohar Iron Ore Concentration Plant. A total of 82 feed samples were collected and analyzed using the SAG Power Index (SPI) test to quantify ore hardness. The SPI results ranged from 48 to 236 minutes, revealing substantial heterogeneity in the run-of-mine feed. Correlation analyses demonstrated that increasing ore hardness resulted in reduced mill feed rate and increased specific energy consumption, primarily due to extended residence time and lower breakage efficiency. A linear regression model was developed to predict the mill’s specific energy demand as a function of SPI, providing a practical tool for energy forecasting and operational optimization. Furthermore, hardness-based ore classification and blending strategies were designed to mitigate the adverse impact of hard feed on mill performance. These homogenization approaches, supported by block model data and SPI testing, offer a cost-effective means to enhance process stability and energy efficiency. Overall, the findings underscore the importance of incorporating quantitative hardness characterization into comminution circuit design, control systems, and mine-to-mill planning frameworks.https://ijmge.ut.ac.ir/article_106749_4d2aa6228146245e4d9f2f2fb98dfdb7.pdfUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-693060220260601Integrated petrographic and XRD characterization of carboniferous-aged sandstones from the Zonguldak basin (NW Turkey): insights into tectonic provenance and sedimentary processes13914810679110.22059/ijmge.2026.401802.595302ENZikrullah SametGüloğluDepartment of Mining and Mineral Extraction, Caycuma Vocational School, Zonguldak Bulent Ecevit University, Zonguldak, Türkiye.0000-0002-7171-6810ÇağrıAldıDepartment of Mining and Mineral Extraction, Caycuma Vocational School, Zonguldak Bulent Ecevit University, Zonguldak, Türkiye.0000-0003-4029-0527HalilBölükDepartment of Mining and Mineral Extraction, Caycuma Vocational School, Zonguldak Bulent Ecevit University, Zonguldak, Türkiye.0000-0002-9447-499XOlgayYaralıDepartment of Mining Engineering, Faculty of Engineering, Zonguldak Bulent Ecevit University, Zonguldak, Türkiye.0000-0003-4965-0330Journal Article20250904This study presents an integrated petrographic and mineralogical evaluation of Carboniferous-aged sandstone units from the Zonguldak Basin, located in northwestern Turkey. A total of four representative samples from the Kozlu, Armutçuk, Üzülmez, and Karadon formations were analyzed through thin-section petrography and X-ray Diffraction (XRD) techniques to investigate their compositional characteristics, provenance signatures, and depositional environments. Petrographic analysis revealed that the majority of the samples fall into Feldspathic Litharenite, Arkose and Lithic Arkose categories, based on Folk’s sandstone classification scheme. The dominance of quartz and feldspar, alongside lithic fragments derived from felsic igneous and high-grade metamorphic sources, suggests deposition under tectonically active conditions with limited chemical weathering and short sediment transport distances. XRD analyses confirmed the presence of quartz, feldspar, clay minerals (illite, muscovite), and minor calcite. The diffraction patterns exhibit sharp peaks for quartz and feldspar, indicating well-crystallized detrital grains, whereas broader peaks for clay minerals imply diagenetic alteration during burial. Grain size assessments indicate a wide spectrum ranging from fine- to coarse-grained textures, which points to fluctuating depositional energies—likely controlled by fluvio-deltaic processes in an actively uplifting basin margin. The presence of angular lithic fragments and feldspar-rich assemblages supports a provenance associated with nearby orogenic highlands. These findings are consistent with previous tectonic reconstructions that associate the Zonguldak Basin with the closure of the Intrapontide Ocean and collisional events during the Paleozoic–Mesozoic transition. Overall, this study provides significant insights into the sedimentary and tectonic evolution of the Zonguldak Basin and contributes to a better understanding of the basin's geodynamic history and sedimentary processes.https://ijmge.ut.ac.ir/article_106791_374ad92e28ff7e130fb88205d8f49384.pdfUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-693060220260601High-grade zone estimation using the SVM and BPPN algorithms in Chah Firuzeh porphyry copper deposit14915910679210.22059/ijmge.2026.401926.595303ENKamranMostafaeiAssistant Professor, Department of Mining Engineering, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran.0000-0002-4039-4628ArdeshirHezarkhaniFaculty of Mining Engineering, Amirkabir University of Technology, Tehran, Iran.0009-0002-4114-1611ShahooMalekiFaculty of Mining Engineering, Amirkabir University of Technology, Tehran, Iran.0000-0003-1357-3978MohammadZamani Ahmad MahmoudiDepartment of Drilling and Geo-engineering, Faculty of Drilling, Oil and Gas, AGH University of Krakow, Krakow, Poland.MitraKhalilidermaniDepartment of Drilling and Geo-engineering, Faculty of Drilling, Oil and Gas, AGH University of Krakow, Krakow, Poland.DariuszKnezDepartment of Drilling and Geo-engineering, Faculty of Drilling, Oil and Gas, AGH University of Krakow, Krakow, Poland.Journal Article20250906In the Chah Firuzeh porphyry copper deposit, a number of thirteen coring boreholes were drilled to evaluate the copper grades in the anomaly. While twelve of the boreholes intersected only the low- and medium-grade copper zones, the borehole CHF06 reached a high-grade zone. As such a high-grade zone is economically invaluable in the financial perspective of the mine, the corresponding copper grades must be estimated precisely. The primary goal of the current study is to estimate the copper grades in such high-profit zone using three artificial intelligence (AI) techniques: Support Vector Machine (SVM) and Back Propagation Neural Network (BPNN). Due to the porphyry nature of deposit, no clear relation was found between the copper grades of the borehole CHF06 and the rest. To address this issue, the Genetic Algorithm-Artificial Neural Network (GA-ANN) and Principal Component Analysis (PCA) algorithms were utilized to choose the best input dataset for those three AI techniques. Both the GA-ANN and PCA algorithms detected that the copper grades of the boreholes CHF05, CHF21, CHF24, and CHF26 are the most appropriate input data to be imported into the SVM and BPNN models. After grade estimation, the R-square (R2) of the SVM and BPNN, techniques were obtained as 0.98 and 0.72, respectively. Moreover, further analysis uncovered that the SVM model has the least sensitivity to the ratio of training data to testing data. Hence, the SVM approach was recognized as the most reliable AI technique to accurately solve the complex resource estimation problems in mining projects. This key finding implies that a SVM estimator can be applied not only for the uniform-mineralization ores but also for the deposits exhibiting a highly inconsistent grade-trend in their structures.https://ijmge.ut.ac.ir/article_106792_5625e8f2af5389b0225c17fbe0de3bac.pdfUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-693060220260601Optimization of the powder factor during rock masses blasting according to their intrinsic properties.16117010682610.22059/ijmge.2026.402794.595306ENAbdelhakTabetDepartment of Earth and Universe Sciences, Faculty of Natural and Life Sciences, Earth and Universe Sciences, Mohamed Khider University Biskra,
Algeria.0009-0008-0198-6023OussamaZezourDepartment of Mines and Geo-technology, Echahid Echeikh Larbi Tebessi University Tebessa, Algeria.0009-0004-2845-6496HaythemDinarCentre de Recherche en Aménagement du Territoire (CRAT), Campus Zouaghi Slimane, Route de Aïn El Bey, Algeria.0000-0002-4504-2963ToufikBatoucheDepartment of Mining Engineering, Metallurgy and Materials. Laboratory of Mines, Metallurgy and Materials (L3M), National Higher School of Technology and Engineering, Annaba, Algeria.0000-0002-1813-5590Ali AhmedBen YoucefDepartment of Mines and Geo-technology, Echahid Echeikh Larbi Tébessi University Tebessa, Algeria.0009-0005-7219-5622MahboubaMoussaouiDepartment of Mines and Geo-technology, Echahid Echeikh Larbi Tebessi University Tebessa, Algeria.0009-0008-3430-5175BachirLamouriFaculty of Naturel and Life Sciences, University of Jijel, Laboratory of Geological Engineering (LGG), Algeria.0000-0001-9066-0296Journal Article20250921The primary aim of mining enterprises is to extract commodities that can be sold commercially. As a result, it is always essential to look for technological solutions to minimize production costs with the most optimized working results. Optimizing rock blasting parameters is one of the technological solutions used. These parameters differ from one mine to another, as each mine has different conditions. The present work was carried out at the Kef Essenoun phosphate mine in northeastern Algeria, with the main aim of optimizing the powder factor when blasting rock massifs according to their intrinsic characteristics to attain optimal outcomes from both technical and economic perspectives. To achieve this objective, we carried out field measurements to understand the characteristics of rock mass discontinuities. These measurements were then mapped using DIPS software. Laboratory studies were conducted to examine the physical and mechanical properties of the rock matrices (limestone and phosphate). Fragmentation results were analyzed using the Kuz-Ram model to compare the firing plans proposed by the company with those actually carried out. The results obtained by the Kuz-Ram model were validated using Wip-Frag software. The results show great convergence on the technical side (degree of fragmentation) and a significant difference on the economic side. This difference corresponds to the extraction cost of limestone and phosphate rock, which could be reduced approximately 812,000 USD per year through the optimization of the amount of explosives used in the proposed blasting plans. The optimization also diminishes the vibrations linked to blasting, leading to improved safety and enhanced slope stability.https://ijmge.ut.ac.ir/article_106826_b5dd44e859fddd824255601f057fee36.pdfUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-693060220260601A mechanical earth model with velocity matching algorithm for predicting shear wave velocity using offset well data from an Iranian oilfield17117810674710.22059/ijmge.2026.387231.595213ENAbolfazlAbdollahipourSchool of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran.0000-0003-2687-4470Journal Article20241222A Mechanical Earth Model (MEM) provides the geomechanical properties required for wellbore stability, well completion, hydraulic fracturing, and mud weight design. This study presents a one-dimensional MEM for a vertical well in a Berriasian–Santonian oilfield in southwest Iran. Shear wave velocity was not measured in the target well and was instead predicted from an adjacent offset well using a velocity matching algorithm that aligns compressional delay times. The novelty of this approach lies in systematically reconstructing missing shear data to enable MEM construction under data-limited conditions. The MEM includes pore pressure, in situ stress fields, and rock mechanical properties along the well path. Static laboratory tests were correlated with dynamic log data to generate continuous rock strength profiles. Using these inputs, a mud weight window was computed and compared with drilling operations. The predicted window showed good agreement with observed breakouts in FMI logs and daily drilling reports. Stability analysis across several intervals indicated that the most stable wellbore trajectory varies with depth due to changes in stress regime and mechanical properties. The method assumes sonic similarity between adjacent wells and is limited by the small number of core samples and incomplete log coverage. Nevertheless, the study demonstrates that velocity matching from an offset well is a practical tool for MEM development, improving wellbore stability prediction and trajectory optimization.https://ijmge.ut.ac.ir/article_106747_d8f0c27f57ef5c118ae2cb1b49ce657b.pdfUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-693060220260601Integrated analysis method for rock slope stability of the deep open pits17918610675310.22059/ijmge.2026.400817.595294ENVictor MwangoBowaCopperbelt University, Mining Department, School of Mines and Minerals, Kitwe, Zambia.0000-0003-2639-9673Precious CChisalaCopperbelt University, Mining Department, School of Mines and Minerals, Kitwe, Zambia.Journal Article20250816Due to increasing demands of mineral commodities, modern pits are faced with the challenges of deepening and widening the existing pits. As the pit deepens, the perimeter of the pit and the quantity of the material to be hauled rises, practically exponentially. Excessively steep slopes induce failures, which is counter intuitive to the economic benefits that may have initially been planned for. In open pit mining, several rock slope stability analysis methods are routinely performed to predict the safe and functional design and excavation of slopes based on varying external loads. Current literature indicates that all the existing rock slope stability analysis methods have got limitations in the accurate stability assessments as the pit deepens. To address the limitations introduced by modern slope stability methods, integration of these stability methods was applied on a real deep slope. The study results shows that integrating the stability methods improves the understanding of the slope behavior, and contributes to more accurate stability assessments as the pit deepens beyond the anticipations. This enhances the accuracy and reliability of stability assessments, addressing the complexities introduced by modern technologies and geological factors.https://ijmge.ut.ac.ir/article_106753_d156afa604c62121b8f472f457fa2c8f.pdfUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-693060220260601Influence of blast geometry in the prediction of blast-induced vibration: a case study of granite aggregate quarries18719610674610.22059/ijmge.2026.382402.595196ENShaib AbdulazeezShehuDepartment of Civil and Mining Engineering, Confluence University of Science and Technology (CUSTECH), Osara Kogi State, Nigeria.School of Materials and Mineral Resources Engineering, University Sains Malaysia, Engineering Campus, Nibong Tebal, Malaysia.0000-0001-9022-1277Mohd HazizanMohd HashimSchool of Materials and Mineral Resources Engineering, Universiti Sains Malaysia (USM).0000-0003-0263-7446HareyaniZabidiSchool of Materials and Mineral Resources Engineering, Universiti Sains Malaysia (USM).Michael AdebolaJethroDepartment of Civil and Mining Engineering, Confluence University of Science and Technology (CUSTECH), Osara Kogi State, Nigeria.Kudirat OziohuYusufDepartment of Civil Engineering, Kogi State Polytechnic, Lokoja, Nigeria.Abdullateef OnimisiJimohDepartment of Geology, Federal University, Lokoja, Nigeria.Journal Article20240916Ground vibration is an inherent hazard of rock blasting and can impair the safety of lives and properties. Therefore, accurate prediction of vibration is imperative. Vibration is commonly evaluated using scaled distance without considering blast geometry. This study investigated the influence of blast geometry on the prediction of blast-induced vibration by using datasets from two quarries. Blast geometry was incorporated into the traditional scaled distance model to predict peak particle velocity (PPV). PPV was predicted by performing regression analyses using scaled distance and blast geometry as independent variables. Furthermore, the evaluated trend, sensitivity, and associated errors compared the predicted PPV with the measured PPV. The blast geometry modified approach in a nonlinear multiple regression model ranked best with an overall average grading of 90% and 92% on Excel Solver and SPSS iterations, respectively. Scaled distance is still the most potent factor in predicting blast vibration but yields lower accuracy when used without blast geometry. The cumulative performance of the investigated parameters using a neural network shows an excellent relationship between the predicted and measured peak particle velocities with a correlation coefficient of 0.93. Therefore, the traditional scaled distance should be complemented with blast geometry for better accuracy.https://ijmge.ut.ac.ir/article_106746_04be0c6c27f44f9b11430be10e0b5852.pdfUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-693060220260601Flotation optimization and sulfidation strategies for maximizing copper recovery from a complex mixed oxide-sulfide ore19720810675010.22059/ijmge.2026.398627.595278ENAliBehnamfardDepartment of Mining Engineering, Faculty of Engineering, University of Birjand, Birjand, South Khorasan, Iran.0000-0002-9024-1881FoadJamal OmidiDepartment of Mining Engineering, Faculty of Engineering, University of Birjand, Birjand, South Khorasan, Iran.FrancescoVeglioDepartment of Industrial and Information Engineering and Economics, University of L’Aquila, 67040 Monteluco di Roio, L’Aquila, Italy.Journal Article20250715This study systematically examined the flotation optimization and sulfidation strategies for enhancing copper recovery from a complex mixed oxide-sulfide ore containing approximately 62% copper oxide and 38% copper sulfide. Comprehensive mineralogical characterization using XRD, SEM-EDS, and EPMA identified a silicate-rich gangue and delineated copper-bearing mineral phases. Laboratory flotation experiments investigated the influence of particle size, reagent type and dosage, pulp pH, and reagent addition sequence on copper recovery. Optimal conditions resulted in a copper oxide recovery of 76% at a particle size of 53 μm and pH 10.5, with total copper recovery reaching 81% through staged reagent addition. Sodium sulfide and sodium hydrosulfide proved effective as sulfidizing agents, with potassium amyl xanthate (PAX)—especially in combination with a co-collector—significantly improving performance. Distributing the sulfidizing agent between the grinding mill and flotation cell balanced the activation of oxide and sulfide minerals, maximizing overall recovery. These results highlight the importance of integrated mineralogical analysis and process parameter optimization for efficient beneficiation of complex copper oxide-sulfide ores, providing practical insights for developing robust flotation flowsheets for similar mineral systems.https://ijmge.ut.ac.ir/article_106750_d47e659a5731eded76a2994247681a25.pdfUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-693060220260601Phytomining: a sustainable approach for heavy metal removal20922810675510.22059/ijmge.2026.401164.595297ENEhitua JuliusOziegbeDepartment of Geosciences, Faculty of Science, University of Lagos, Nigeria.0000-0001-5772-0461OlubukolaOziegbeDepartment of Biological Sciences, Covenant University, Ota, Nigeria.0000-0001-8001-0919Ibrahim AjibolaOladeniDepartment of Geology, Georgia State University, USA.Journal Article20250822Researchers are learning more about how plants fight off the harmful effects of heavy metal pollutants as the environment gets worse with these pollutants. Also, investigation on how to better manage these pollutants sustainably are on the rise. Phytomining is a phytoremediation technique that utilizes plants to extract precious heavy metals from mineralized or contaminated soils to generate revenue. This can be achieved by recovering valuable levels of metals from the biomass of plants. Aside, being a sustainable and cost-effective technique, phytomining financial viability depends on valuable biomass of obtained from the contaminated environments. Natural heavy metal hyperaccumulators are currently attracting attention due to the enormous opportunities presented by phytomining. Hyperaccumulator plants such as Berkheya coddii, Eleocharis acicularis, and Myriophyllum aquaticum are some of the efficient plants for phytomining of heavy metals. Genetic engineering of specific species of hyperaccumulators of certain heavy metals could improve the efficiency of phytomining technology. Potential biorefineries using phytomining techniques could be supported by the circular bioeconomy of heavy metals. Thus making appropriate the reuse of high-value heavy metals (Au, Co, Cu, and Ni) from polluted sites and also concentrating valuable heavy metals within the plants from mines with low concentration. This review highlights the potential use of phytomining in the cleanup of heavy metal contaminated sites as well as wealth creation. Thereby, making heavy metal phytomining a promising bioremediation strategy.https://ijmge.ut.ac.ir/article_106755_dd7e4b862d01e93a968655c83a7cac82.pdfUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-693060220260601Exploring the potential of acidithiobacillus in bioleaching: keys to sustainable metal extraction22924710674810.22059/ijmge.2026.396449.595266ENFernandoGarcia-AvilaCarrera de Ingeniería Ambiental, Facultad de Ciencias Químicas, Universidad de Cuenca, Ecuador.0000-0002-9274-9769FlavioArmijos-SalinasCarrera de Ingeniería Ambiental, Facultad de Ciencias Químicas, Universidad de Cuenca, Ecuador.AlexisCastillo-EspinosaCarrera de Ingeniería Ambiental, Facultad de Ciencias Químicas, Universidad de Cuenca, Ecuador.Maria D.Tonon-OrdoñezCarrera de Ingeniería Ambiental, Facultad de Ciencias Químicas, Universidad de Cuenca, EcuadorEmigdioAlfaro-ParedesEscuela de Posgrado, Universidad San Ignacio de Loyola, Peru.LorgioValdiviezo-GonzalesFacultad de Ingeniería Industrial, Universidad Tecnológica del Perú, Lima, Perú.Journal Article20250601The Acidithiobacillus genus is a set of acidophilic bacteria that has a crucial participation in the bioleaching process, because they can oxidize iron and sulfur and contribute to the sulfide mineral dissolution, releasing metals such as: copper, gold, and other valuable items. This systematic review compiled the environmental factors and optimal conditions for the use of the Acidithiobacillus proteobacteria in the bioleaching process in the Scopus database since January 2014 until December 2024. PRISMA’s guidelines were used for the identification, selection, and analysis of relevant primary studies. The results and discussions of each article were examined, synthesizing the answers to the questions posed and highlighting the most relevant findings along with their implications for the field of biomining. In conclusion, it is evident that biomining with Acidithiobacillus emerges as an innovative and sustainable alternative for the metal extraction, offering environmental, economic and technical advantages compared to traditional methods. Despite it, the associated technical challenges are recognized, such as the control of leaching conditions, where factors such as: pH, temperature, redox potential, oxygen concentration, and the presence of metal ions can influence the growth and the activity of Acidithiobacillus, as well as the kinetics and leaching mechanisms. Research opportunities were identified for improving this innovative technology.https://ijmge.ut.ac.ir/article_106748_f46e819836d184543676315f566870f3.pdf