Hokmabadi Mahsa, Khosravinia Somayeh, Mahdavi Mahmood A, Gheshlaghi Reza
Department of Chemical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
J Appl Microbiol. 2022 May;132(5):3461-3475. doi: 10.1111/jam.15442. Epub 2022 Jan 11.
The biodesulfurization activity of bacteria through the 4S pathway in aqueous-oil emulsions is affected by various operational factors. These factors also demonstrate interacting effects that influence the potential for field applications of biodesulfurization technology and can solely be deciphered through multi-variable experiments. In this study, the effects of the influential factors and their interactions on the desulfurizing activity of a newly identified desulfurizing bacterium, Rhodococcus sp, FUM94 were quantitatively investigated. The capacity improvement achieved through optimized values obtained in this study is significant due to its simple implementation to large scale processes. This is the most simple and the most cost-effective way to scale-up a biodesulfurization process.Using response surface methodology (RSM). Optimum values of the factors were identified with the objective of maximizing biodesulfurization activity. Results revealed that the desulfurization activity of the biocatalyst increased from 0.323 ± 0.072 to 46.57 ± 4.556 mmol 2-Hydroxybiphenyl (kg dry cell weight) h at the optimized conditions of 6 h reaction time, 2 g.L biocatalyst concentration, 0.54 mM (100 ppm) dibenzothiophene (DBT) concentration (sulfur source), and 25% oil phase fraction. Desirability analysis proved that the selected conditions are the most desirable combination of factors (desirability value = 0.896) to achieve the highest biodesulfurization activity of the biocatalyst. A comparison between the biodesulfurization capacity achieved in this study and the capacities reported in similar studies published in the past two decades revealed that biodesulfurization under optimized operational conditions outperforms previously proposed techniques.
细菌通过4S途径在水油乳液中的生物脱硫活性受多种操作因素影响。这些因素还表现出相互作用的效应,影响生物脱硫技术的现场应用潜力,且只能通过多变量实验来解读。在本研究中,定量研究了影响因素及其相互作用对新鉴定的脱硫细菌红球菌属FUM94脱硫活性的影响。由于本研究中获得的优化值易于应用于大规模过程,因此通过这些值实现的能力提升具有重要意义。这是扩大生物脱硫过程规模最简单、最具成本效益的方法。采用响应面法(RSM),以最大化生物脱硫活性为目标确定了各因素的最佳值。结果表明,在6小时反应时间、2 g.L生物催化剂浓度、0.54 mM(100 ppm)二苯并噻吩(DBT)浓度(硫源)和25%油相分数的优化条件下,生物催化剂的脱硫活性从0.323±0.072增加到46.57±4.556 mmol 2-羟基联苯/(千克干细胞重量·小时)。可取性分析证明,所选条件是实现生物催化剂最高生物脱硫活性的最理想因素组合(可取性值=0.896)。本研究实现的生物脱硫能力与过去二十年发表的类似研究报告的能力之间的比较表明,优化操作条件下的生物脱硫性能优于先前提出的技术。