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The effect of a complex bacterial consortium present as a biofilm or as planktonic population on marine corrosion of 1020 carbon steel

机译:以生物膜或浮游生物形式存在的复杂细菌财团对1020碳钢海洋腐蚀的影响

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Mechanisms by which microbial biofilms influence electrochemical processes are studied extensively. The necessity of contact between microbial cells and the surface has been demonstrated as prerequisite to microbially influenced corrosion (MIC) and sampling of a biofilm population is advocated as a way of diagnosing MIC. There is, a tendency to implicate MIC in corrosion failures based solely on examining planktonic bacterial population. Here presented laboratory study, carried out using stationary bioreactors, aimed to differentiate between carbon steel corrosion in seawater in the presence of bacterial metabolic products alone, i.e. bacterial cells were kept in planktonic state, and that resulting from the growth of a biofilm. Electrochemical measurements, new generation sequencing (NSG), metabolomics and imaging methods confirmed that corrosion is exacerbated when biotic biofilm components, i.e. living sessile cells interact with the metal surface. Metabolomes of biofilm and planktonic bacterial populations differed and so did mineralogical composition of corrosion products and the type of corrosion attack on colonized and biofilm-free surfaces. High molecular weight lipids dominated biofilm metabolome. This investigation confirmed that biofilm sampling is invaluable in establishing MIC as a cause of metal failure in marine environments. However, the investigation also revealed that caution needs to be exercised when interpreting NSG data in the context of MIC.
机译:广泛研究了微生物生物膜影响电化学过程的机理。微生物细胞与表面之间接触的必要性已被证明是微生物影响腐蚀(MIC)的先决条件,并且提倡对生物膜种群进行采样是诊断MIC的一种方法。仅基于检查浮游细菌种群,就有将MIC隐含在腐蚀失效中的趋势。本文介绍了使用固定式生物反应器进行的实验室研究,旨在区分仅存在细菌代谢产物时海水对碳钢的腐蚀,即细菌细胞保持浮游状态,以及生物膜生长导致的腐蚀。电化学测量,新一代测序(NSG),代谢组学和成像方法证实,当生物生物膜成分(即活的无核细胞)与金属表面相互作用时,腐蚀会加剧。生物膜和浮游细菌种群的代谢组各不相同,腐蚀产物的矿物学组成以及在定殖的和无生物膜的表面上的腐蚀攻击类型也不同。高分子量脂质占主导地位的生物膜代谢组。这项研究证实,生物膜采样对于将MIC确定为海洋环境中金属失效的原因具有不可估量的价值。但是,调查还显示,在MIC的背景下解释NSG数据时,必须谨慎行事。

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