Microbiologically-influenced corrosion (MIC): Development of a model system to investigate the role of biofilm communities within MIC and their contro

微生物影响的腐蚀 (MIC)：开发模型系统来研究 MIC 中生物膜群落的作用及其控制

• 批准号: 2441686
• 金额: --
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2441686
• 关键词: Microbiologically; influenced; corrosion; MIC; Development

Microbiologically-Influenced Corrosion (MIC) is a major industrial concern, estimated to contribute around 20% of the £1 billion annual cost of corrosion to the oil and gas industry alone. Biofilms are surface-adherent microbial communities that are more tolerant towards antimicrobials than unattached bacteria and will form on any water-contacting surface. Their presence increases rates of corrosion of underlying metals, causing significant damage and representing cost in both repair and management. Currently companies use biocide dosing to attempt to control bacterial growth. However, little is known about the impact of biocide regimens on the developmental dynamics of biofilms, their community composition, function or viability and there has been no external validation of their efficacy. This project will develop and validate a representative model system in which inoculate typical of those found in operating pipelines can be cultured as biofilms and investigated. Commercially available biocides as well as novel antimicrobial compounds can then be introduced, and the following investigated: Impact on biofilm viability Changes in prevalence and activity of different species within the biofilm using molecular microbial methods such as qPCR & NGS Changes in corrosion rate of the underlying metal with methods used across academia and industry Mechanistic relationships between the above through the data collected, providing novel insights into the specific effects of different biocides and potentially highlighting new approaches to biocide development. The development of such a model will support a move towards evidence-based biocide dosing, empowering asset owners to reduce the effect of MIC leading to reduced cost, increased sustainability and increased asset lifetime. The contribution of DNV GL as industrial partners will give the student access to both industrial standard practices and representative samples and testing conditions. The data produced will likely influence the recommendations of a new standard being drafted on biocide dosing through NACE International (nace.org).

微生物腐蚀 (MIC) 是一个主要的工业问题，据估计，仅石油和天然气行业每年的腐蚀成本就占 10 亿英镑的 20% 左右。生物膜是表面粘附的微生物群落，比未附着的细菌对抗菌药物具有更强的耐受性，并且会在任何与水接触的表面上形成。它们的存在会增加底层金属的腐蚀速度，造成严重损坏并增加维修和管理成本。目前，公司使用杀菌剂剂量来试图控制细菌生长。然而，人们对杀菌剂方案对生物膜的发育动力学、群落组成、功能或活力的影响知之甚少，而且也没有对其功效进行外部验证。该项目将开发和验证一个代表性模型系统，其中运行管道中发现的典型接种物可以作为生物膜进行培养和研究。然后可以引入市售的杀菌剂以及新型抗菌化合物，并进行以下研究： 对生物膜活力的影响 使用 qPCR 和 NGS 等分子微生物方法改变生物膜内不同物种的流行度和活性 使用学术界和工业界使用的方法改变底层金属的腐蚀速率 通过收集的数据了解上述各项之间的机制关系，为特定的生物膜提供新的见解 不同杀菌剂的影响，并可能突出杀菌剂开发的新方法。这种模型的开发将支持转向基于证据的杀菌剂剂量，使资产所有者能够减少 MIC 的影响，从而降低成本、提高可持续性并延长资产寿命。 DNV GL 作为工业合作伙伴的贡献将使学生能够接触到工业标准实践以及代表性样品和测试条件。所产生的数据可能会影响正在通过 NACE International (nace.org) 起草的关于杀菌剂剂量的新标准的建议。