Diagnosing, Measuring, and Monitoring Microbiologically Influenced Corrosion

Little, Brenda J.; Lee, Jason S.; Ray, Richard I.

doi:10.1002/9780470872864.ch88

Cited by 7 publications

(7 citation statements)

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“…Fungal species associated with metal surface deterioration, referred to as "microbiologically influenced corrosion" (MIC), contribute to metal degradation by producing compounds, like exopolymers and organic acids, that create a more favorable microenvironment for corrosion [110]. Some common fungal species associated with metal degradation include Aspergillus niger, Aureobasidium pullulans, Cladosporium spp., Hormoconis resinae, and Penicillium spp.…”

Section: Fungal Species Associated With Monument Degradationmentioning

confidence: 99%

“…Some common fungal species associated with metal degradation include Aspergillus niger, Aureobasidium pullulans, Cladosporium spp., Hormoconis resinae, and Penicillium spp. [110][111][112][113][114][115]. Visible signs of metal deterioration are the formation of biofilms, pitting corrosion, general corrosion, darkening, and staining [109].…”

Section: Fungal Species Associated With Monument Degradationmentioning

confidence: 99%

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Fungal Diversity and Heritage Degradation

Oliveira,

Reis,

Almaguer

2023

Preprint

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This review resumes published data on fungal diversity in and within monuments (e.g., religious and secular monuments, museums, and statues), covering a multidisciplinary investigation into the complex interactions between fungi and cultural heritage structures. Fungi represent remarkable adversaries to monuments, potentially compromising their structural integrity and aesthetic value. Based on a bibliographic search of manuscripts published, the knowledge of fungal communities colonizing monuments was comprehensively assessed. This work first describes the diverse fungal species implicated in the degradation of monument materials (e.g., stone, metal, and glass). It elucidates the factors governing fungal colonization and proliferation in and within these structures (e.g., environmental conditions, construction materials, and human interventions). Finally, the efficacy of preservation and restoration techniques to mitigate fungal threats and safeguard our cultural heritage is also discussed. This synthesis highlights the pivotal role of mycological research in heritage conservation, and a platform for future studies to address critical knowledge gaps is provided. Understanding fungal diversity in and within monuments is critical to preserving these invaluable cultural treasures, as it informs targeted conservation strategies and ensures their longevity in the face of fungal challenges.

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Section: Fungal Species Associated With Monument Degradationmentioning

confidence: 99%

Section: Fungal Species Associated With Monument Degradationmentioning

confidence: 99%

Fungal Diversity and Heritage Degradation

Oliveira,

Reis,

Almaguer

2023

Preprint

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“…As discussed in previous reviews, many different microbes have been associated with MIC (Beech and Sunner 2004;Little and Lee 2007;Little et al 2011;Morton and Surman 1994;Usher et al 2014a;Videla and Herrera 2005). These microorganisms have been classified based on their perceived mechanisms of corrosion.…”

Section: Role Of Bacteria Types and Biofilm Formation In Micmentioning

confidence: 99%

“…It is often used to study oxide films as they form, and to study the effectiveness of polymer coating systems. Because the voltage applied is over a very small range, it is understood not to alter bacterial cells and biofilms and thus has been widely applied to both biofilm studies and studies of MIC (Lee et al 2006;Little et al 2011). Although EIS is a powerful technique, care needs to be taken with selecting operating parameters and interpreting the results of EIS.…”

Section: Electrochemical Impedance Spectroscopymentioning

confidence: 99%

Microbiologically influenced corrosion: a review of the studies conducted on buried pipelines

Spark¹,

Wang

Cole

et al. 2020

Corrosion Reviews

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AbstractBuried pipelines are essential for the delivery of potable water around the world. A key cause of leaks and bursts in these pipelines, particularly those fabricated from carbon steel, is the accelerated localized corrosion due to the influence of microbes in soil. Here, studies conducted on soil corrosion of pipelines' external surface both in the field and the laboratory are reviewed with a focus on scientific approaches, particularly the techniques used to determine the action and contribution of microbiologically influenced corrosion (MIC). The review encompasses water pipeline studies, as well as oil and gas pipeline studies with similar corrosion mechanisms but significantly higher risks of failure. Significant insight into how MIC progresses in soil has been obtained. However, several limitations to the current breadth of studies are raised. Suggestions based on techniques from other fields of work are made for future research, including the need for a more systematic methodology for such studies.

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“…For years the first step in identifying MIC was to establish the presence of bacteria recognised as a source of MIC or those associated with corrosion products [13]. MIC modelling started in the early nineties with the Checworks predictive model [14].…”

Section: Summary Of Existing Modelsmentioning

confidence: 99%

Model for microbiologically influenced corrosion potential assessment for the oil and gas industry

Taleb‐Berrouane

Khan

Hawboldt

et al. 2018

Corrosion Engineering, Science and Technology

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Corrosion is one of the major causes of failure in onshore and offshore oil and gas operations. Microbiologically influenced corrosion (MIC) is inherently more complex to predict, detect and measure because, for instance, the presence of biofilm and/or bacterial products is not sufficient to indicate active microbiological corrosion. The major challenge for current MIC models is to correlate factors that influence corrosion (i.e. chemical, physical, biological and molecular variables) with the potential of having MIC. Previous work has proposed the potential for MIC as a simple product of multiple factors, without fully considering the synergy or the interference among the factors. The present work proposes a network-based approach to analyse and predict MIC potential considering the complex interactions among a total of 60 influencing factors and 20 screening parameters. The proposed model has the ability to capture the complex interdependences and the synergic interactions of the factors used to assess MIC potential and uses an object-oriented approach based on a Bayesian Network. The model has been tested and verified using real data from a pipeline leakage incident that was a result of MIC. The proposed model constitutes a significant step in deepening the understanding of when MIC occurs and its predictability.

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Diagnosing, Measuring, and Monitoring Microbiologically Influenced Corrosion

Cited by 7 publications

References 46 publications

Fungal Diversity and Heritage Degradation

Fungal Diversity and Heritage Degradation

Microbiologically influenced corrosion: a review of the studies conducted on buried pipelines

Model for microbiologically influenced corrosion potential assessment for the oil and gas industry

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