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Bioresource Technology
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Bioresource Technology
Article . 2016 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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Metagenomic analysis of a desulphurisation system used to treat biogas from vinasse methanisation

Authors: Marcela França, Dias; Luis Felipe, Colturato; João Paulo, de Oliveira; Laura Rabelo, Leite; Guilherme, Oliveira; Carlos Augusto, Chernicharo; Juliana Calabria, de Araújo;

Metagenomic analysis of a desulphurisation system used to treat biogas from vinasse methanisation

Abstract

We investigated the response of microbial community to changes in H2S loading rate in a microaerated desulphurisation system treating biogas from vinasse methanisation. H2S removal efficiency was high, and both COD and DO seemed to be important parameters to biomass activity. DGGE analysis retrieved sequences of sulphide-oxidising bacteria (SOB), such as Thioalkalimicrobium sp. Deep sequencing analysis revealed that the microbial community was complex and remained constant throughout the experiment. Most sequences belonged to Firmicutes and Proteobacteria, and, to a lesser extent, Bacteroidetes, Chloroflexi, and Synergistetes. Despite the high sulphide removal efficiency, the abundance of the taxa of SOB was low, and was negatively affected by the high sulphide loading rate.

Keywords

Bacteria, Microbial Consortia, Sulfides, Saccharum, Bioreactors, Biofuels, Biomass, Hydrogen Sulfide, Metagenomics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
hybrid