Predicting microbial induced corrosion using electrochemical noise analysis
A novel method for predicting microbial induced corrosion (MIC) in metals by analyzing electrochemical noise using Fourier Transform. This approach aims to identify corrosion types based on microbial activity, offering potential applications in pipeline and piping system maintenance.
Overview
Microbial induced corrosion (MIC) presents significant challenges in industries relying on metal infrastructure, notably in petroleum pipelines and copper piping systems. This innovative approach utilizes electrochemical noise analysis to predict MIC by identifying unique electrochemical signals associated with different microbes. By analyzing the frequency of voltage noise using Fourier Transform, this method aims to correlate these signals to specific microbial activity, thereby predicting the corrosion type and rate.
Technical specifications
- Microbial Activity Detection: Utilizes electrochemical noise analysis to capture voltage spikes correlated with microbial activity.
- Fourier Transform Analysis: Transforms potential-time signatures into frequency domain to identify distinct microbial electrochemical signals.
- Corrosion Prediction: Correlates frequency response with corrosion rate, microbe type, and nutrient environment.
- Testing Methodology: Employs two-electrode and three-electrode methods along with electrochemical impedance spectroscopy to measure parameters like polarization resistance and phase shift.
Technology readiness level
Currently at TRL 3, this method has undergone initial laboratory testing with future plans to validate using a variety of MIC-causing microbes under controlled conditions. Further development is needed to transition from laboratory research to practical field applications.
About New Mexico Institute of Mining and Technology
New Mexico Tech is a STEM-focused public research university in Socorro with an applied, field-scale research profile. Its Energetic Materials Research and Testing Center runs expansive test ranges adjacent to campus for research, evaluation, and training. The Petroleum Recovery Research Center and the New Mexico Bureau of Geology and Mineral Resources provide industry-facing labs, data, and services, while a co-op program links employers to student talent. Research is supported by competitive federal funding from agencies such as the National Science Foundation, Department of Energy, and Department of Defense. An Office of Innovation Commercialization and a university research park support IP, licensing, and startup formation.
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