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2021-01-01
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METAGENOMIC ANALYSIS OF A DESULPHURISATION SYSTEM USED TO TREAT BIOGAS FROM VINASSE METHANISATION
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Universidade Federal de Minas Gerais. Departament de Engenharia e Desenvolvimento Sanitario. Belo Horizonte, MG, Brasil
Universidade Federal de Minas Gerais. Departament de Engenharia e Desenvolvimento Sanitario. Belo Horizonte, MG, Brasil/Methanum Waste and Energy. Nova Lima, MG, Brasil
Methanum Waste and Energy. Nova Lima, MG, Brasil
Fundação Oswaldo Cruz. Centro de Pesquisa René Rachou. Grupo de Genomica e Biologia Computacional. Belo Horizonte, MG, Brasil
Fundação Oswaldo Cruz. Centro de Pesquisa René Rachou. Grupo de Genomica e Biologia Computacional. Belo Horizonte, MG, Brasil
Universidade Federal de Minas Gerais. Departament de Engenharia e Desenvolvimento Sanitario. Belo Horizonte, MG, Brasil
Universidade Federal de Minas Gerais. Departament de Engenharia e Desenvolvimento Sanitario. Belo Horizonte, MG, Brasil
Universidade Federal de Minas Gerais. Departament de Engenharia e Desenvolvimento Sanitario. Belo Horizonte, MG, Brasil/Methanum Waste and Energy. Nova Lima, MG, Brasil
Methanum Waste and Energy. Nova Lima, MG, Brasil
Fundação Oswaldo Cruz. Centro de Pesquisa René Rachou. Grupo de Genomica e Biologia Computacional. Belo Horizonte, MG, Brasil
Fundação Oswaldo Cruz. Centro de Pesquisa René Rachou. Grupo de Genomica e Biologia Computacional. Belo Horizonte, MG, Brasil
Universidade Federal de Minas Gerais. Departament de Engenharia e Desenvolvimento Sanitario. Belo Horizonte, MG, Brasil
Universidade Federal de Minas Gerais. Departament de Engenharia e Desenvolvimento Sanitario. Belo Horizonte, MG, Brasil
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 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.
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