Filtern
Erscheinungsjahr
Dokumenttyp
- Vortrag (122) (entfernen)
Referierte Publikation
- nein (122)
Schlagworte
- MIC (26)
- Corrosion (14)
- Biocides (13)
- Antimicrobial resistance (12)
- Microbiologically influenced corrosion (9)
- Korrosion (8)
- Bacteria (6)
- Methanogens (6)
- Disinfection (5)
- Antimicrobial coating (4)
Organisationseinheit der BAM
- 4 Material und Umwelt (49)
- 4.1 Biologische Materialschädigung und Referenzorganismen (46)
- 6 Materialchemie (17)
- 1 Analytische Chemie; Referenzmaterialien (15)
- 1.1 Anorganische Spurenanalytik (10)
- 6.2 Material- und Oberflächentechnologien (10)
- 2 Prozess- und Anlagensicherheit (7)
- 2.1 Sicherheit von Energieträgern (7)
- 7 Bauwerkssicherheit (7)
- 5 Werkstofftechnik (5)
Eingeladener Vortrag
- nein (122)
Analytical quality assurance
(2007)
Biocides are in contact with soils through direct application and passive leaching from protected materials. Consequently, soil microorganisms are exposed to biocides even though they are not their primary targets. Soil is a large reservoir of microbial diversity and has been hypothesized to be a crucial factor for the evolution and spread of antimicrobial resistance.
Currently, there is little knowledge on how biocides used to protect materials affect the evolution and spread of resistance. Thus, our aim is to investigate the risk for the evolution of biocide resistance and cross-resistance to antibiotics. In addition, we aim to elucidate the affect of biocides on the spread of resistance via horizontal gene transfer (HGT).
In adaptive laboratory evolution experiments we cultured selected model soil microorganism with representative biocides under selection regimes with increasing and stable biocide concentrations followed by antibiotic and biocide cross-resistance determination. Moreover, we investigate if the selected biocides affect the rates of de novo mutations and HGT of plasmids that carry resistance genes among soil microorganism.
Our results show only small increases of biocide resistance during serial transfers under increasing biocide concentrations. One reason for this might be the narrow selective window for biocide resistance due to steep dose-response relationships. Furthermore, our results indicate that a stable low-level biocide regime did not select for high level cross-resistance to antibiotics and other biocides.
Moreover, material preservatives affected the rates of HGT via conjugation and the mutation rates at sub-inhibitory concentrations. The results will enable future risk assessment regarding resistance evolution for biocides used as material preservatives.
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.
The overall interest in nanotoxicity, triggered by the increasing use of nanomaterials in the material and life sciences, and the synthesis of an ever increasing number of new functional nanoparticles calls for standardized test procedures1,2 and for efficient approaches to screen the potential genotoxicity of these materials. Aiming at the development of fast and easy to use, automated microscopic methods for the determination of the genotoxicity of different types of nanoparticles, we assess the potential of the fluorometric γH2AX assay for this purpose. This assay, which can be run on an automated microscopic detection system, relies on the detection of DNA double strand breaks as a sign for genotoxicity3. Here, we provide first results obtained with broadly used nanomaterials like CdSe/CdS and InP/ZnS quantum dots as well as iron oxide, gold, and polymer particles of different surface chemistry with previously tested colloidal stability and different cell lines like Hep-2 and 8E11 cells, which reveal a dependence of the genotoxicity on the chemical composition as well as the surface chemistry of these nanomaterials. These studies will be also used to establish nanomaterials as positive and negative genotoxicity controls or standards for assay performance validation for users of this fluorometric genotoxicity assay. In the future, after proper validation, this microscopic platform technology will be expanded to other typical toxicity assays.
Presentation of the MIC-project (Microbially Induced Corrosion) within the focus area Materials of the BAM. Strategies, developments and innovations in the area of analytical tools, surface modifications, polymer stability and biofilm-enhanced deteriorations of materials in the context of microbially induced corrosion processes.
Applying data-driven AI systems makes it possible to extract patterns from given data, generate predictions and helps making decisions. Material research and testing holds a plethora of AI-based applications, for example, for the automatized search and synthesis of new materials, the detection of materials defects, or the prediction of process and materials parameters (inverse problems). However, AI algorithms can often only be as good as the training data from which the corresponding models are learned. Therefore, it is also indispensable to develop measures for the standardization and quality assurance of such data.
For this purpose, we develop and implement methods from transferring data from various sources into a homogeneous data repository with uniform data descriptions. Through the standardization and corresponding machine-readable interfaces, research data can be made usable and reusable for further data analyses. In addition to the technical implementation of integrative platforms, it is crucial that quality-assured research data management is recognized and implemented as an integral part of daily scientific work. Finally, we provide a vision of how the Federal Institute for Materials Research and Testing can benefit from data-driven AI systems. We discuss early applications and take a peek at future research.
SRB are environmentally and industrially important microorganisms. The disadvantage of their metabolic activity (e.g. sulfate reduction) results in the formation of toxic sulfide that leads to microbial influenced corrosion. SRB have been responsible for biocorrosion of ferrous metal. One of mitigation strategy is the use of biocides. However, it has been shown that various bacteria develop antimicrobial resistance due to excessive use of biocides. Thus, a deeper understanding of the evolution of biocide resistance of SRB is necessary. Three commonly used biocides, THPS, BAC, and GLUT were applied to investigate the susceptibility of Desulfovibrio alaskensis G20.The minimum inhibitory and bactericidal concentration and the killing kinetics of the three biocides was determined. These results will be used to conduct evolution experiments to determine the evolution of resistance towards biocides of SRBs. The outcome of this work can be helpful to improve the management of MIC treatments.