Biosensors, mechatronics, & microfluidics for early detection & monitoring of microbial corrosion: A comprehensive critical review

Abstract

In numerous industries e.g. oilfield pipelines, marine media, medicine and biomaterials microbially-induced corrosion (MIC) or biocorrosion has been universally identified. With improvements within the field of machine learning and artificial intelligence, the focal point is to generate hybrid advances that have superior exactness and unwavering quality. The traditional techniques of evaluation in generalized corrosion cannot be used to investigate the first steps of biocorrosion. Because in the first steps of MIC, the visible or detectable signs for biocorrosion early detection are not still available (e.g., time-consuming of microbiological culture. Therefore, novel methods such as biosensors, microfluidics, and mechatronics can be useful. In these methods, the possibility of data sharing, online/in-site monitoring, organizing of the smart clouds data and providing of Internet-of-Things linkages are strongly applicable. Here, a critically review performed on the literature introducing the quantitative and qualitative methods for detection and monitoring of microbial corrosion. © 2023 The Authors