Bioleaching of manganese from a low-grade pyrolusite ore using Aspergillus niger: Process optimization and kinetic studies

Keshavarz, Sahar; Faraji, Fariborz; Rashchi, Fereshteh; Mokmeli, Mohammad

doi:10.1016/j.jenvman.2021.112153

Cited by 32 publications

(9 citation statements)

References 51 publications

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“…The larger coefficients in front of the leaching conditions in the equation were leaching time and sulfuric acid concentration, which were close to the Pearson correlation coefficient heat map, and the importance of the above two leaching conditions was consistent with Zhang et al 4 The importance score analysis according to the GBR model for leaching conditions (Figure 2) revealed that the leaching time has the greatest influence on the leaching effect in the electric-field-enhanced pyrolusite leaching process, which was due to the fact that the pyrolusite acid leaching process is a liquid−solid reaction, which is a nucleation reduction model. 39 The acid leaching reaction occurred on the surface of pyrolusite, while the reaction has not yet occurred inside the mineral. With the increase of reaction time, the leaching of the mineral inside gradually contacted with the liquid surface, and thus, the leaching rate gradually increased.…”

Section: Resultsmentioning

confidence: 99%

“…The importance score analysis according to the GBR model for leaching conditions ( Figure 2 ) revealed that the leaching time has the greatest influence on the leaching effect in the electric-field-enhanced pyrolusite leaching process, which was due to the fact that the pyrolusite acid leaching process is a liquid–solid reaction, which is a nucleation reduction model. 39 The acid leaching reaction occurred on the surface of pyrolusite, while the reaction has not yet occurred inside the mineral. With the increase of reaction time, the leaching of the mineral inside gradually contacted with the liquid surface, and thus, the leaching rate gradually increased.…”

Section: Resultsmentioning

confidence: 99%

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Application of Machine Learning in a Mineral Leaching Process─Taking Pyrolusite Leaching as an Example

Zhang

et al. 2022

ACS Omega

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In this study, several machine learning models were used to analyze the process variables of electric-field-enhanced pyrolusite leaching and predict the leaching rate of manganese, and the applicability of those models in the leaching process of hydrometallurgy was compared. It showed that there was no correlation between the six leaching conditions; in addition to the leaching time, the concentrations of sulfuric acid and ferrous sulfate had great influences on the leaching of pyrolusite. The results of the prediction models showed that the support vector regression model has the best prediction performance, with regression index (R 2) = 0.92 and mean square error = 25.04, followed by the gradient boosting regression model (R 2 > 0.85). In this research, machine learning models were applied to the optimization of the manganese leaching process, and the research process and methods were also applicable to other hydrometallurgical processes for majorization and result prediction.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Application of Machine Learning in a Mineral Leaching Process─Taking Pyrolusite Leaching as an Example

Zhang

et al. 2022

ACS Omega

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“…The reported bioleaching efficiency highlighted the potential of A. niger for manganese bioextraction from environmental samples. This process was recently optimized by Keshavarz et al [24] for the bioleaching of low-grade pyrolusite (pulp density of 1 g•L −1 ) with the extraction maximum of 78.8% achieved through a twostep method using the medium collected after 21 days of dynamic cultivation (120 rpm) of fungus in the glucose medium. The strains of Aspergillus section Nigri also proved to be an efficient extractor of manganese from Mn-Zn batteries [25].…”

Section: Discussionmentioning

confidence: 99%

Bioleaching of Manganese Oxides at Different Oxidation States by Filamentous Fungus Aspergillus niger

Farkas

Bujdoš

Polák

et al. 2021

JoF

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This work aimed to examine the bioleaching of manganese oxides at various oxidation states (MnO, MnO·Mn2O3, Mn2O3 and MnO2) by a strain of the filamentous fungus Aspergillus niger, a frequent soil representative. Our results showed that the fungus effectively disintegrated the crystal structure of selected mineral manganese phases. Thereby, during a 31-day static incubation of oxides in the presence of fungus, manganese was bioextracted into the culture medium and, in some cases, transformed into a new biogenic mineral. The latter resulted from the precipitation of extracted manganese with biogenic oxalate. The Mn(II,III)-oxide was the most susceptible to fungal biodeterioration, and up to 26% of the manganese content in oxide was extracted by the fungus into the medium. The detected variabilities in biogenic oxalate and gluconate accumulation in the medium are also discussed regarding the fungal sensitivity to manganese. These suggest an alternative pathway of manganese oxides’ biodeterioration via a reductive dissolution. There, the oxalate metabolites are consumed as the reductive agents. Our results highlight the significance of fungal activity in manganese mobilization and transformation. The soil fungi should be considered an important geoactive agent that affects the stability of natural geochemical barriers.

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“…Bioleaching consists in the extraction of metals from their ores using living organisms [ 74 ]. This technology has been extensively studied in order to enhance the metal recovery from many different solid matrixes polluted with metals [ 75 , 76 , 77 , 78 , 79 , 80 , 81 ]. Therefore, the coupling of bioleaching with electrodeposition has been extensively evaluated to recover copper from printed circuit boards, obtaining very high copper purities in the final deposits and metal recoveries ranging from 75.8% to 92.85% [ 82 , 83 , 84 ].…”

Section: Integration Of Electrodeposition With Other Processesmentioning

confidence: 99%

An Old Technique with A Promising Future: Recent Advances in the Use of Electrodeposition for Metal Recovery

Delgado¹,

Fernández-Morales²,

Llanos³

2021

Molecules

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Although the first published works on electrodeposition dates from more than one century ago (1905), the uses of this technique in the recovery of metals are attracting an increasing interest from the scientific community in the recent years. Moreover, the intense use of metals in electronics and the necessity to assure a second life of these devices in a context of circular economy, have increased the interest of the scientific community on electrodeposition, with almost 3000 works published per year nowadays. In this review, we aim to revise the most relevant and recent publications in the application of electrodeposition for metal recovery. These contributions have been classified into four main groups of approaches: (1) treatment and reuse of wastewater; (2) use of ionic liquids; (3) use of bio-electrochemical processes (microbial fuel cells and microbial electrolysis cells) and (4) integration of electrodeposition with other processes (bioleaching, adsorption, membrane processes, etc.). This would increase the awareness about the importance of the technology and would serve as a starting point for anyone that aims to start working in the field.

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Bioleaching of manganese from a low-grade pyrolusite ore using Aspergillus niger: Process optimization and kinetic studies

Cited by 32 publications

References 51 publications

Application of Machine Learning in a Mineral Leaching Process─Taking Pyrolusite Leaching as an Example

Application of Machine Learning in a Mineral Leaching Process─Taking Pyrolusite Leaching as an Example

Bioleaching of Manganese Oxides at Different Oxidation States by Filamentous Fungus Aspergillus niger

An Old Technique with A Promising Future: Recent Advances in the Use of Electrodeposition for Metal Recovery

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