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The corrosion of stainless steel components is a problem of global scale, economically as well as in regards to the safety of industrial equipment and facilities. With microorganisms involved (microbial influenced corrosion, MIC), the problem becomes more complex. Iron reducing bacteria (IRB) for example accelerate the corrosion of iron based materials like stainless steel via the reduction of iron oxides in the passive layer. When co-cultivated with iron oxidizing bacteria, IRBs can induce deep, heterogeneously distributed pits on stainless steel surfaces. The analysis of localized corrosion – or pitting corrosion – is of great relevance since it can lead to unpredictable material failure. In general, macroscopic electrochemical methods are not capable of providing information about the spatial heterogeneity of a sample and thus need to be complemented by multi-electrode based techniques or scanning electrochemical methods.
The aim of this work is to develop methods for the analysis of localized corrosion, on stainless steel surfaces induced by IRB biofilms. The greatest challenge is to address the complexity of two heterogeneous systems at the metal/biofilm interface. First there is the variation in the passive layer composition and microstructure. Secondly, the microbial biofilm with its heterogeneous tree-dimensional structure resulting in local differential aeration cells and electrochemical parameters. To be able to differentiate between individual effects, artificial biofilms mimicking the physical properties of a natural biofilm are used in this study as model systems. This artificial biofilm is applied on a multi-electrode probe to identify local anodic sites during exposure experiments. The detailed analysis of active sites by means of scanning electrochemical microscopy (SECM) allows the investigation of local properties within the biofilm and its immediate vicinity.
The presented analytical approach delivers promising results in clarifying how localized corrosion of stainless steels develops chronologically and spatially in the presence of IRBs. Furthermore, our results on model systems provide the basis for the application of the methodology for the investigation of natural or multi-species biofilms in the future.
Microbial induced corrosion (MIC) is a crucial problem in many technical plants as well as fuel tanks, leading to considerable damage and huge financial losses. Successful prevention of MIC requires the localization of first signs of corrosion as well as the identification of factors influencing the corrosion process.1 Hence, there is a growing need for sensitive and preferably inexpensive tools that enable the early detection of MIC. Of high importance are methods, which provide spatially and time-resolved information and allow the study of changes on metal surfaces as prerequisites for a more detailed analysis of ongoing corrosion processes at a MIC-affected site.2 In this respect, also the determination of corrosion rates can be of interest for the possible prevention of MIC.
Microbial induced corrosion (MIC) is a crucial problem in many technical plants as well as fuel tanks, leading to considerable damage and huge financial losses. Successful prevention of MIC requires the localization of first signs of corrosion as well as the identification of factors influencing the corrosion process. In this respect, also the determination of corrosion rates can be of interest for the possible prevention of MIC. Hence, there is a growing need for sensitive and preferably inexpensive tools that enable the early detection of MIC. Of special interest are methods, which provide spatially and time-resolved information and allow the study of changes on metal surfaces as prerequisites for a more detailed analysis of ongoing corrosion processes at a MIC-affected site.
Biofilm formation can lead to changes in pH, oxygen and chloride concentration as well as to the release of certain metal ions like Fe(II) and Mn(II) depending on the type of metal surface involved. Hence, optical methods enabling the detection of these analytes at very low concentration and monitoring of their changes can be used for MIC detection. Here, we propose to utilize polymeric nanosensors for MIC detection via the determination of the local pH value changes in different biofilms. Such nanosensors are known to have several advantages in imaging applications such as intracellular pH measurements including the ease of doping or labeling with a multitude of analyte-responsive and inert dye molecules for the realization of a high analyte sensitivity and ratiometric sensing. Moreover, they can be surface functionalized with target-specific ligands e.g., lectins, for the specific binding to the outer surface of certain types of bacteria. In this respect, different polymer architectures will be studied to identify an optimal candidate in terms of imaging performance in conjunction with several classes of pH-responsive fluorescent dyes like cyanines, aza-BODIPYs, and xanthenes, utilizing different mechanism of signal generation such as photo-induced electron transfer or protonation-induced changes in the spectral position of absorption and emission spectra.
Microbial induced corrosion (MIC) is a crucial problem in many technical plants as well as fuel tanks, leading to considerable damage and huge financial losses. Successful prevention of MIC requires the localization of first signs of corrosion as well as the identification of factors influencing the corrosion process.1 Hence, there is a growing need for sensitive and preferably inexpensive tools that enable the early detection of MIC. Of high importance are methods, which provide spatially and time-resolved information and allow the study of changes on metal surfaces as prerequisites for a more detailed analysis of ongoing corrosion processes at a MIC-affected site.2 In this respect, also the determination of corrosion rates can be of interest for the possible prevention of MIC.
Only a few myxobacteria are known to date that are classified as marine, owing to their salt
dependency. In this study, the salt tolerance mechanism of these bacteria was investigated.
To this end, a growth medium was designed in which the mutated Escherichia coli strain
BKA13 served as sole food source for the predatory, heterotrophic myxobacteria. This enabled
measurement of the osmolytes without any background and revealed that the closely related
strains Enhygromyxa salina SWB007 and Plesiocystis pacifica SIR-1 developed different
strategies to handle salt stress. Ple. pacifica SIR-1, which was grown between 1 and 4% NaCl,
relies solely on the accumulation of amino acids, while Enh. salina SWB007, which was grown
between 0.5 and 3% NaCl, employs, besides betaine, hydroxyectoine as the major compatible
solute. In accordance with this analysis, only in the latter strain was a locus identified that codes
for genes corresponding to the biosynthesis of betaine, ectoine and hydroxyectoine.
Biofilm formation on materials leads to high costs in industrial processes, as well as in medical applications. This fact has stimulated interest in the development of new materials with improved surfaces to reduce bacterial colonization. Standardized tests relying on statistical evidence are indispensable to evaluate the quality and safety of these new materials. We describe here a flow chamber system for biofilm cultivation under controlled conditions with a total capacity for testing up to 32 samples in parallel. In order to quantify the surface colonization, bacterial cells were DAPI (4‘,6-diamidino-2-phenylindole)-stained and examined with epifluorescence microscopy. More than 100 images of each sample were automatically taken and the surface coverage was estimated using the free open source software g’mic, followed by a precise statistical evaluation. Overview images of all gathered pictures were generated to dissect the colonization characteristics of the selected model organism Escherichia coli W3310 on different materials (glass and implant steel). With our approach, differences in bacterial colonization on different materials can be quantified in a statistically validated manner. This reliable test procedure will support the design of improved materials for medical, industrial, and environmental (subaquatic or subaerial) applications.
Kurzpräsentation zur Vorstellung der Promotionsthematik während der SpringSchool der UpCon2016 in Polen.