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Metabolomic Footprinting and MIC within Water Supply Networks

机译:供水网络中的代谢组学足迹和MIC

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This paper considers the unique chemical signature that corrosion inducing microbial cellular processes leave behind. This type of scientific study, otherwise known as metabolomics, is proposed as a tool for the management of water supply networks. The metabolites from a range of physico-biochemical reactions which occur within pipe biofilms are utilised in order to characterise a series of chemical compounds that are associated with microorganisms that are believed to cause microbial influenced corrosion (MIC). This research was undertaken in order to determine if the metabolomic approach may be an improved way of understanding internal corrosion in water supply networks. This concept is demonstrated experimentally by subjecting household copper pipes to bacteria believed to cause MIC in a controlled study. The metabolites which resulted from the microbial corrosion activity were extracted from the body of water, separated and indentified using conventional analytical chemistry techniques. It was found by using chemometric analytical data methods that the samples could be differentiated by the metabolites that they excrete and the substrates that they consume, and hence the presence of organisms which are believed to influence corrosion could be inferred. This approach to understanding internal pipe degradation may allow water utilities to identify potential areas within water supply networks that are susceptible to internal corrosion.
机译:本文考虑了腐蚀诱导微生物细胞过程留下的独特化学特征。这类科学研究,也称为代谢组学,被提议作为供水网络管理的工具。利用发生在管道生物膜内的一系列物理-生物化学反应中的代谢产物来表征一系列与微生物相关的化合物,这些化合物被认为会引起微生物影响的腐蚀(MIC)。进行这项研究是为了确定代谢组学方法是否可能是理解供水网络内部腐蚀的一种改进方法。在一项对照研究中,通过使家用铜管受到认为会引起MIC的细菌的实验证明了这一概念。由微生物腐蚀活性产生的代谢物从水体中提取出来,使用常规分析化学技术进行分离和鉴定。通过化学计量分析数据方法发现,样品可以通过它们排泄的代谢物和消耗的底物加以区分,因此可以推断出存在被认为会影响腐蚀的生物。这种了解内部管道退化的方法可以使水务公司确定供水网络中易受内部腐蚀的潜在区域。

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