Literature DB >> 21632238

Manganese biomining: A review.

A P Das1, L B Sukla, N Pradhan, S Nayak.   

Abstract

Biomining comprises of processing and extraction of metal from their ores and concentrates using microbial techniques. Currently this is used by the mining industry to extract copper, uranium and gold from low grade ores but not for low grade manganese ore in industrial scale. The study of microbial genomes, metabolites and regulatory pathways provide novel insights to the metabolism of bioleaching microorganisms and their synergistic action during bioleaching operations. This will promote understanding of the universal regulatory responses that the biomining microbial community uses to adapt to their changing environment leading to high metal recovery. Possibility exists of findings ways to imitate the entire process during industrial manganese biomining endeavor. This paper reviews the current status of manganese biomining research operations around the world, identifies factors that drive the selection of biomining as a processing technology, describes challenges in exploiting these innovations, and concludes with a discussion of Mn biomining's future.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21632238     DOI: 10.1016/j.biortech.2011.05.018

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  13 in total

Review 1.  Microbial leaching of metals from solid industrial wastes.

Authors:  Debaraj Mishra; Young Ha Rhee
Journal:  J Microbiol       Date:  2014-01-04       Impact factor: 3.422

2.  Manganese the protector.

Authors:  John Emsley
Journal:  Nat Chem       Date:  2013-11       Impact factor: 24.427

3.  Manganese and cobalt recovery by surface display of metal binding peptide on various loops of OmpC in Escherichia coli.

Authors:  Murali Kannan Maruthamuthu; Vidhya Selvamani; Saravanan Prabhu Nadarajan; Hyungdon Yun; You-Kwan Oh; Gyeong Tae Eom; Soon Ho Hong
Journal:  J Ind Microbiol Biotechnol       Date:  2017-11-28       Impact factor: 3.346

4.  Mineral Types and Tree Species Determine the Functional and Taxonomic Structures of Forest Soil Bacterial Communities.

Authors:  Y Colin; O Nicolitch; M-P Turpault; S Uroz
Journal:  Appl Environ Microbiol       Date:  2017-02-15       Impact factor: 4.792

5.  Heavy metal contamination in "chemicalized' green revolution banana fields in southern India.

Authors:  Nidheesh Kammadavil Sahodaran; Joseph George Ray
Journal:  Environ Sci Pollut Res Int       Date:  2018-07-13       Impact factor: 4.223

6.  Responses of Vallisneria natans (Lour.) Hara to the combined effects of Mn and pH.

Authors:  Jun Yin; Pei Fan; Guidi Zhong; Zhonghua Wu
Journal:  Ecotoxicology       Date:  2019-11-06       Impact factor: 2.823

Review 7.  A Review on Heavy Metal Ion Adsorption on Synthetic Microfiber Surface in Aquatic Environments.

Authors:  Sunanda Mishra; Debasis Dash; Abdel Rahman Mohammad Said Al-Tawaha; Alok Prasad Das
Journal:  Appl Biochem Biotechnol       Date:  2022-07-02       Impact factor: 3.094

8.  Indirect Manganese Removal by Stenotrophomonas sp. and Lysinibacillus sp. Isolated from Brazilian Mine Water.

Authors:  Natália Rocha Barboza; Soraya Sander Amorim; Pricila Almeida Santos; Flávia Donária Reis; Mônica Mendes Cordeiro; Renata Guerra-Sá; Versiane Albis Leão
Journal:  Biomed Res Int       Date:  2015-12-01       Impact factor: 3.411

9.  Population structure of manganese-oxidizing bacteria in stratified soils and properties of manganese oxide aggregates under manganese-complex medium enrichment.

Authors:  Weihong Yang; Zhen Zhang; Zhongming Zhang; Hong Chen; Jin Liu; Muhammad Ali; Fan Liu; Lin Li
Journal:  PLoS One       Date:  2013-09-12       Impact factor: 3.240

10.  High Manganese Tolerance and Biooxidation Ability of Serratia marcescens Isolated from Manganese Mine Water in Minas Gerais, Brazil.

Authors:  Natália R Barboza; Mônica M C A Morais; Pollyana S Queiroz; Soraya S Amorim; Renata Guerra-Sá; Versiane A Leão
Journal:  Front Microbiol       Date:  2017-10-09       Impact factor: 5.640

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