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).

微生物影响的腐蚀（MIC）是一个主要的工业问题，估计仅石油和天然气行业每年10亿英镑的腐蚀成本中就有20%左右。生物膜是表面附着的微生物群落，其比未附着的细菌对抗菌剂更耐受，并且将在任何接触水的表面上形成。它们的存在增加了底层金属的腐蚀速率，造成重大损害，并造成维修和管理成本。目前，公司使用杀生物剂剂量试图控制细菌生长。然而，很少有人知道的生物杀灭剂方案对生物膜的发展动态，其社区组成，功能或生存能力的影响，也没有外部验证其功效。该项目将开发和验证一个代表性的模型系统，其中在运行管道中发现的典型生物可以培养为生物膜并进行研究。然后可以引入市售杀菌剂以及新型抗菌化合物，并研究以下内容：对生物膜活力的影响使用分子微生物方法如qPCR & NGS生物膜内不同物种的流行率和活性的变化使用学术界和工业界使用的方法底层金属的腐蚀速率的变化通过收集的数据，提供了新的见解，不同的杀生物剂的具体影响，并可能突出新的方法，杀生物剂的发展。这种模型的开发将支持向循证生物杀灭剂剂量的转变，使资产所有者能够减少MIC的影响，从而降低成本，提高可持续性和延长资产寿命。DNV GL作为工业合作伙伴的贡献将使学生能够获得工业标准实践和代表性样品和测试条件。所产生的数据可能会影响NACE International（nace.org）正在起草的新标准的建议。