Alternative methods for dark fermentation course analysis - Publication - MOST Wiedzy


Alternative methods for dark fermentation course analysis


Dark fermentation course analysis is crucial, as complexed matrix of gaseous components may be formed and revealed during the process. The paper considers key issues related to the microbiological process in which complex organic substances are transformed into hydrogen. For the purposes of hydrogen generation, the application of wastewater mixed sludge pre-treated according to Faloye method (Faloye et al. in Int J Hydrog Energy 38:11765–11773, 2013. ene.2013.06.129; Int J Hydrog Energy 39:5607–5616, 2014. https :// was applied. The main risk of by-product formation is related to the presence of methanogens, i.e., Archea, in the sludge. The application of gaseous chromatography confirmed the presence of hydrogen during the initial, lag and log phases of the culture and methane in the late logarithmic death phase of the culture. However, other fermen-tation gaseous products’ presence was not confirmed, as their concentration was under the limit of detection. Therefore, a revision regarding the application of matrix sensors was proposed, and the levels of gases able to be measured using both gas chromatography and matrix sensors were conducted. The criteria of matrix sensors’ selection should include the selectivity not only for the hydrogen, hydrogen sulfide or methane, but also the sensitivity to the response of other gases contained in the mixture—ammonium, carbon dioxide and oxygen. A comprehensive combination of commer-cially available sensors and their applicability for the purposes of dark fermentation course analysis was presented on the basis of the levels of gas concentrations in the generated gas mixture.


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publikacja w in. zagranicznym czasopiśmie naukowym (tylko język obcy)
Published in:
SN Applied Sciences no. 469, pages 1 - 8,
ISSN: 2523-3963
Publication year:
Bibliographic description:
Słupek E., Kucharska K., Gębicki J.. Alternative methods for dark fermentation course analysis. SN Applied Sciences, 2019, Vol. 469, iss. 1, s.1-8
Digital Object Identifier (open in new tab) 10.1007/s42452-019-0488-2
Sources of funding:
Verified by:
Gdańsk University of Technology

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