表征(材料科学)
生化工程
腐蚀
计算机科学
电流(流体)
工艺工程
环境科学
纳米技术
材料科学
工程类
冶金
电气工程
作者
Pranav Kannan,Shei Sia Su,M. Sam Mannan,Homero Castaneda,Sreeram Vaddiraju
标识
DOI:10.1021/acs.iecr.8b02211
摘要
This review evaluates the analytical methods used for detecting microbiologically influenced corrosion (MIC), which is an aggressive microbiota-facilitated degradation of engineering materials, and discusses their advantages and limitations. The challenges presented by the lack of a comprehensive mechanistic understanding on MIC detection, which include the need to use a combined array of morphological, chemical, electrochemical, and biological characterization for MIC detection, are thoroughly discussed using multiple case studies from the literature. The paradigm shifts and research necessary for the early and real-time monitoring of MIC are presented.
科研通智能强力驱动
Strongly Powered by AbleSci AI