微生物腐蚀的检测方法和预测模型  

A Review of Detection Methods and Prediction Models for Microbiologically Influenced Corrosion

作　　者：戚鹏[1] 王鹏[1] 曾艳 张盾[1] QI Peng;WANG Peng;ZENG Yan;ZHANG Dun(Key Laboratory of Marine Environmental Corrosion and Bio-fouling,Institute of Oceanology,Chinese Academy of Sciences,Qingdao 266071,China)

机构地区：[1]中国科学院海洋研究所,中国科学院海洋环境腐蚀与生物污损重点实验室,青岛266071

出　　处：《中国腐蚀与防护学报》2025年第3期602-610,共9页Journal of Chinese Society For Corrosion and Protection

基　　金：国家自然科学基金(42376208)。

摘　　要：综述了生物腐蚀(MIC)的检测方法及预测模型研究进展。MIC的检测方法包括电化学技术、生物分析法、辐射检测法、显微技术和生物传感器。各种检测技术均具有自身的优势和局限性,需要多种技术的配合应用,以全面评价MIC过程。MIC的预测模型可分为基于风险评估、传质过程和电化学机理的模型。考虑MIC系统的复杂性,尚无单一模型可完全预测MIC现象。建议未来发展综合考虑影响因素和机制的模型,解决生物膜内微环境测定问题,以提高MIC预测的准确性。Microbiologically influenced corrosion(MIC)is a prevalent and serious form of metal corrosion that can cause substantial economic loss.Due to the complexity of the MIC process,developing techniques for detecting and controlling MIC is a key challenge in industrial corrosion science.This paper systematically reviews the research progress of MIC detection methods and prediction models.The detection methods of MIC include electrochemical techniques,bioanalytical methods,radiation detection,microscopy,and biosensing approaches.Each detection technique has its own merits and limitations,and the cooperative application of multiple techniques is needed to comprehensively evaluate the MIC process.The prediction models of MIC can be categorized into those based on risk assessment-based,mass transfer-based,and comprehensive electrochemistry-based models.Given the complexity of MIC systems,no single model has yet been capable of fully predicting MIC phenomena.It is recommended that future efforts be directed toward developing integrated models that account for influential factors and mechanisms,resolving measurements of the microenvironment within biofilms,in order to enhance the accuracy of MIC prediction.

关 键 词：微生物腐蚀 生物膜 检测 预测模型 风险评估 

分 类 号：TG172.9[金属学及工艺—金属表面处理]