Kiragosyan Karine, Klok Johannes B M, Keesman Karel J, Roman Pawel, Janssen Albert J H
Wetsus, European Centre of Excellence for Sustainable Water Technology, Oostergoweg 9, 8911, MA, Leeuwarden, the Netherlands.
Environmental Technology, Wageningen University, P.O. Box 17, 6700, AA, Wageningen, the Netherlands.
Water Res X. 2019 Jul 2;4:100035. doi: 10.1016/j.wroa.2019.100035. eCollection 2019 Aug 1.
Hydrogen sulfide is a toxic and corrosive gas that must be removed from gaseous hydrocarbon streams prior to combustion. This paper describes a gas biodesulfurization process where sulfur-oxidizing bacteria (SOB) facilitate sulfide conversion to both sulfur and sulfate. In order to optimize the formation of sulfur, it is crucial to understand the relations between the SOB microbial composition, kinetics of biological and abiotic sulfide oxidation and the effects on the biodesulfurization process efficiency. Hence, a physiologically based kinetic model was developed for four different inocula. The resulting model can be used as a tool to evaluate biodesulfurization process performance. The model relies on a ratio of two key enzymes involved in the sulfide oxidation process, i.e., flavocytochrome and sulfide-quinone oxidoreductase (FCC and SQR). The model was calibrated by measuring biological sulfide oxidation rates for different inocula obtained from four full-scale biodesulfurization installations fed with gases from various industries. Experimentally obtained biological sulfide oxidation rates showed dissimilarities between the tested biomasses which could be explained by assuming distinctions in the key-enzyme ratios. Hence, we introduce a new model parameter to whereby describes the ratio between the relative expression levels of FCC and SQR enzymes. Our experiments show that sulfur production is the highest at low values
硫化氢是一种有毒且具有腐蚀性的气体,在燃烧之前必须从气态烃流中去除。本文描述了一种气体生物脱硫工艺,其中硫氧化细菌(SOB)促进硫化物转化为硫和硫酸盐。为了优化硫的形成,了解SOB微生物组成、生物和非生物硫化物氧化动力学以及对生物脱硫工艺效率的影响之间的关系至关重要。因此,针对四种不同的接种物建立了基于生理学的动力学模型。所得模型可作为评估生物脱硫工艺性能的工具。该模型依赖于硫化物氧化过程中涉及的两种关键酶的比率,即黄素细胞色素和硫化物 - 醌氧化还原酶(FCC和SQR)。通过测量从四个以不同行业气体为原料的全规模生物脱硫装置获得的不同接种物的生物硫化物氧化速率,对模型进行了校准。实验获得的生物硫化物氧化速率表明,测试生物量之间存在差异,这可以通过假设关键酶比率的差异来解释。因此,我们引入了一个新的模型参数 ,其中 描述了FCC和SQR酶相对表达水平之间的比率。我们的实验表明,在低值时硫产量最高