Quantification of biomass in a biooxidation system

[Page1 is in the PDF] The aim of this study was to investigate and compare various methods to enumerate the number of bacteria in a minerals biooxidation system. In this system most of the bacteria are attached to fine particles of ore and therefore cannot be enumerated by direct cell counting. This...

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Main Author: Moon, Jo-Ann Helen
Format: Others
Language:English
Published: University of Cape Town 2017
Subjects:
Online Access:http://hdl.handle.net/11427/24823
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-248232020-12-10T05:11:13Z Quantification of biomass in a biooxidation system Moon, Jo-Ann Helen Bioprocess Engineering [Page1 is in the PDF] The aim of this study was to investigate and compare various methods to enumerate the number of bacteria in a minerals biooxidation system. In this system most of the bacteria are attached to fine particles of ore and therefore cannot be enumerated by direct cell counting. This has hindered attempts to understand the mechanism by which the bacteria assist in the leaching process. The methods reported in the literature to enumerate both the free and attached bacteria in a biooxidation system can be divided into 2 categories: direct methods and indirect methods. The direct methods involve the quantification of the bacteria by direct observation. It is difficult to enumerate attached bacteria by direct observation but attempts have been made to desorb or dislodge these bacteria. Such experiments have had limited success in achieving dislodgement of all the attached bacteria. However, the results have shown that desorption of the bacteria from the mineral surface is possible. Indirect methods involve the monitoring of a cell component such as protein, nitrogen and carbon. Biomass concentrations have been estimated using its metabolic activity by means of a maximum specific oxygen utilisation rate. The purpose of this study was to compare the various methods and test their suitability to the quantification of biomass in a biooxidation system. In particular the biooxidation system investigated treated an arsenopyrite-pyrite concentrate from Fairview Gold Mine, Barberton, South Africa. The elemental analysis of the concentrate is 5.84% arsenic, 21.71 % sulphur,24.01 % iron and 1.41 % carbon. The dominant bacteria present in the biooxidation system were Leptospirillum ferrooxidans and Thiobacillus thiooxidans as shown by 16S rDNA analysis. The methods investigated are microscopic counting, gravimetric dry weight determination, desorption, determination of chemical oxygen demand, ashing, protein analysis, nitrogen analysis, total organic carbon analysis and measurement of oxygen utilisation rate. The oxygen utilisation rate method differs from the other methods as it uses the metabolic activity of the bacteria to measure the bacterial concentrations. 2017-07-28T11:52:36Z 2017-07-28T11:52:36Z 1996 2017-07-28T08:18:35Z Thesis http://hdl.handle.net/11427/24823 eng application/pdf University of Cape Town Faculty of Engineering and the Built Environment Department of Chemical Engineering
collection NDLTD
language English
format Others
sources NDLTD
topic Bioprocess Engineering
spellingShingle Bioprocess Engineering
Moon, Jo-Ann Helen
Quantification of biomass in a biooxidation system
description [Page1 is in the PDF] The aim of this study was to investigate and compare various methods to enumerate the number of bacteria in a minerals biooxidation system. In this system most of the bacteria are attached to fine particles of ore and therefore cannot be enumerated by direct cell counting. This has hindered attempts to understand the mechanism by which the bacteria assist in the leaching process. The methods reported in the literature to enumerate both the free and attached bacteria in a biooxidation system can be divided into 2 categories: direct methods and indirect methods. The direct methods involve the quantification of the bacteria by direct observation. It is difficult to enumerate attached bacteria by direct observation but attempts have been made to desorb or dislodge these bacteria. Such experiments have had limited success in achieving dislodgement of all the attached bacteria. However, the results have shown that desorption of the bacteria from the mineral surface is possible. Indirect methods involve the monitoring of a cell component such as protein, nitrogen and carbon. Biomass concentrations have been estimated using its metabolic activity by means of a maximum specific oxygen utilisation rate. The purpose of this study was to compare the various methods and test their suitability to the quantification of biomass in a biooxidation system. In particular the biooxidation system investigated treated an arsenopyrite-pyrite concentrate from Fairview Gold Mine, Barberton, South Africa. The elemental analysis of the concentrate is 5.84% arsenic, 21.71 % sulphur,24.01 % iron and 1.41 % carbon. The dominant bacteria present in the biooxidation system were Leptospirillum ferrooxidans and Thiobacillus thiooxidans as shown by 16S rDNA analysis. The methods investigated are microscopic counting, gravimetric dry weight determination, desorption, determination of chemical oxygen demand, ashing, protein analysis, nitrogen analysis, total organic carbon analysis and measurement of oxygen utilisation rate. The oxygen utilisation rate method differs from the other methods as it uses the metabolic activity of the bacteria to measure the bacterial concentrations.
author Moon, Jo-Ann Helen
author_facet Moon, Jo-Ann Helen
author_sort Moon, Jo-Ann Helen
title Quantification of biomass in a biooxidation system
title_short Quantification of biomass in a biooxidation system
title_full Quantification of biomass in a biooxidation system
title_fullStr Quantification of biomass in a biooxidation system
title_full_unstemmed Quantification of biomass in a biooxidation system
title_sort quantification of biomass in a biooxidation system
publisher University of Cape Town
publishDate 2017
url http://hdl.handle.net/11427/24823
work_keys_str_mv AT moonjoannhelen quantificationofbiomassinabiooxidationsystem
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