Microbiologically Influenced Corrosion (MIC) represents a significant threat to industrial asset integrity, due to the damage it can cause to metal structures. Distinguishing MIC from abiotic corrosion mechanisms is challenging due to the similar characteristics they both share. Therefore, integrating microbiological, metallurgical, and chemical data is indispensable for identifying the relationship between causative microorganisms and the corrosion phenomena.

This seminar will present traditional and innovative methods with which to study MIC, providing a comprehensive overview of techniques to obtain biological evidence that can be seamlessly integrated into standard practices for failure analysis. Additionally, the presentation delves into best practices for sample collection and preservation, emphasizing their critical role in gathering meaningful data for an accurate MIC diagnosis.

Speaker

Silvia J. Salgar-Chaparro
Research Fellow
Curtin University