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Coal-Packed Methane Biofilter for Mitigation of Green House Gas Emissions from Coal Mine Ventilation Air

Overview of attention for article published in PLOS ONE, April 2014
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Title
Coal-Packed Methane Biofilter for Mitigation of Green House Gas Emissions from Coal Mine Ventilation Air
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0094641
Pubmed ID
Authors

Hendy Limbri, Cindy Gunawan, Torsten Thomas, Andrew Smith, Jason Scott, Bettina Rosche

Abstract

Methane emitted by coal mine ventilation air (MVA) is a significant greenhouse gas. A mitigation strategy is the oxidation of methane to carbon dioxide, which is approximately twenty-one times less effective at global warming than methane on a mass-basis. The low non-combustible methane concentrations at high MVA flow rates call for a catalytic strategy of oxidation. A laboratory-scale coal-packed biofilter was designed and partially removed methane from humidified air at flow rates between 0.2 and 2.4 L min-1 at 30°C with nutrient solution added every three days. Methane oxidation was catalysed by a complex community of naturally-occurring microorganisms, with the most abundant member being identified by 16S rRNA gene sequence as belonging to the methanotrophic genus Methylocystis. Additional inoculation with a laboratory-grown culture of Methylosinus sporium, as investigated in a parallel run, only enhanced methane consumption during the initial 12 weeks. The greatest level of methane removal of 27.2±0.66 g methane m-3 empty bed h-1 was attained for the non-inoculated system, which was equivalent to removing 19.7±2.9% methane from an inlet concentration of 1% v/v at an inlet gas flow rate of 1.6 L min-1 (2.4 min empty bed residence time). These results show that low-cost coal packing holds promising potential as a suitable growth surface and contains methanotrophic microorganisms for the catalytic oxidative removal of methane.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Researcher 6 11%
Student > Ph. D. Student 6 11%
Student > Bachelor 4 7%
Professor > Associate Professor 4 7%
Other 11 20%
Unknown 15 28%
Readers by discipline Count As %
Environmental Science 8 15%
Agricultural and Biological Sciences 5 9%
Chemical Engineering 4 7%
Engineering 4 7%
Earth and Planetary Sciences 2 4%
Other 9 17%
Unknown 22 41%