Filtern
Erscheinungsjahr
Dokumenttyp
- Vortrag (6918) (entfernen)
Sprache
- Englisch (6918) (entfernen)
Referierte Publikation
- nein (6918)
Schlagworte
- Corrosion (129)
- Additive manufacturing (117)
- Additive Manufacturing (114)
- Hydrogen (111)
- Concrete (104)
- Nanoparticles (93)
- Fluorescence (77)
- NDT (69)
- Welding (66)
- LIBS (63)
Organisationseinheit der BAM
- 6 Materialchemie (729)
- 8 Zerstörungsfreie Prüfung (658)
- 1 Analytische Chemie; Referenzmaterialien (481)
- 9 Komponentensicherheit (473)
- 7 Bauwerkssicherheit (460)
- 5 Werkstofftechnik (384)
- 3 Gefahrgutumschließungen; Energiespeicher (290)
- 4 Material und Umwelt (282)
- 6.1 Oberflächen- und Dünnschichtanalyse (228)
- 9.4 Integrität von Schweißverbindungen (203)
Photophysical and mechanistic studies, the comparison of different emitter classes, and the rational design of the next generation of molecular and nanoscale reporters require quantitative photoluminescence measurements and the reliable determination of the key performance parameter photoluminescence quantum yield (QY), i.e., the number of emitted per absorbed photons. This is of special importance for all photoluminescence applications in the life and material sciences in the UV/vis/NIR/SWIR. To improve the reliability and comparability of photoluminescence and QY measurements across laboratories, pitfalls, achievable uncertainties, and material-specific effects related to certain emitter classes must be explored. Also, suitable protocols and reference materials are needed which have been validated in interlaboratory comparisons for different wavelength regions and transparent and scattering luminophores.[1] Based on absolute and relative photoluminescence measurements of functional dyes and nanomaterials like semiconductor quantum dots and rods, spectrally shifting lanthanide upconversion nanocrystals, perovskites, and YAG:Cer converter materials, reliable methods for determining QY of transparent and scattering luminophores, nonlinear emitters, and solid luminescent nanomaterials have been developed.[2,3] Thereby, material- and method-related uncertainties of relative and absolute QY measurements and achievable uncertainties could be quantified for linear and nonlinear UV/vis/NIR/SWIR emitters and lately for also luminescent and scattering materials and solid phoshors, here in an interlaboratory comparison of three labs utilizing integrating sphere spectroscopy.[4,5] In addition, to provide simple tools for a better comparability of QY measurements, recently, a first set of UV/vis/NIR quantum yield standards has been developed and certified with complete uncertainty budgets.[6] In the following, the outcome of these studies will be presented, thereby addressing common pitfalls and providing recommendations on the performance of reliable QY measurements of linear and non-linear emitters in transparent, scattering, and solid samples.
Reversible polycondensations are polycondensations that include equilibration reactions at any stage of the process. Syntheses of Polyesters in bulk involving transesterification reactions and syntheses of polyamides in bulk involving transamidation are typical examples. In 1950, Jacobson and Stockmayer published a first theory of reversible polycondensations based on experimental studies with aliphatic polyesters.[1,2] They explained the reversibility by the reversible formation of cyclic oligomers and low molar mass polymers from an active chain end (so-called “back-biting”). The formation of cycles via end-to-end cyclization was excluded in agreement with Flory´s theory of irreversible polycondensations.[3] The reinvestigation of the Jacobson-Stockmayer experiments by the authors in combination with theoretical considerations shows that the JS theory is wrong. [4,5] It turned out that the experimental scenario is far from the reality. In real polycondensations, intermolecular equilibration is faster than “back-biting”, and end-to-end cyclization is quite normal. The revised theory of step-growth polymerization predicts that in the ideal case of 100% conversion, all reaction products are cycles, regardless, of whether the step-growth polymerization is reversible or not.
Photophysical and mechanistic studies, the comparison of different emitter classes, and the rational design of the next generation of molecular and nanoscale reporters require quantitative photoluminescence measurements and the reliable determination of the key performance parameter photoluminescence quantum yield (QY), i.e., the number of emitted per absorbed photons. This is of special importance for all photoluminescence applications in the life and material sciences in the UV/vis/NIR/SWIR.
Ergot alkaloids, potent mycotoxins produced by Claviceps spp., particularly Claviceps purpurea, pose significant health risks when they contaminate rye and related cereals, leading to ergotism in humans and mammals [1]. In response, the European Union has established Regulation 2023/915, setting maximum residue levels for the sum of 12 principal ergot alkaloids and other mycotoxins including fumonisins (FUM), deoxynivalenol (DON), zearalenone (ZEN), and T2/HT2 toxins in food products. Given the prevalent co-occurrence of mycotoxins, their simultaneous detection is crucial for ensuring the safety of food and feed [2, 3].
Traditionally, chromatographic techniques such as liquid chromatography coupled with (tandem) mass spectrometry (LC-MS/MS) have been employed for multiplex detection of mycotoxins [4, 5]. While effective, these methods require specialized facilities, expensive equipment, and skilled personnel. Immunoassays like ELISA and lateral flow assays offer a more accessible alternative for rapid mycotoxin detection, yet they generally lack the capability for concurrent multi-toxin screening.
This study introduces the SAFIA (Suspension Array Fluorescence Immunoassay), a particle-based immunoassay utilizing fluorescence-encoded microparticles for the simultaneous detection of multiple analytes [6, 7]. The assay's innovative advancement comes with the inclusion of ergot alkaloids, a novel addition to its existing detection capabilities for fusarium toxins and trichothecenes, thereby expanding its scope to a broader range of mycotoxins. The assay employs antibodies targeting the ergoline moiety common to all major ergot alkaloids, facilitated by a synthesized hapten mimicking the ergoline structure. This hapten was conjugated to amino-functionalized beads, and a panel of five monoclonal antibodies was evaluated for hapten recognition, binding specificity, and competitive binding efficiency.
Our findings demonstrate that all antibodies displayed similar affinities towards the hapten and lysergol (a stable and less hazardous analogue of lysergic acid used for calibration), achieving detection limits as low as 2 ppb. Cross-reactivity studies and analysis of round-robin test material indicated a significant underestimation of ergot alkaloid levels in samples. However, accurate detection of ergot alkaloids remains feasible through the application of a correction factor to the results, which compensates for this underestimation and ensures the assay's effectiveness. Despite this adjustment, the necessity for enhancements in antibody specificity to improve assay accuracy is evident. Furthermore, the inclusion of the ergot assay in a multiplexed setup for detecting FUM, DON, ZEN, and T-2 toxins showed no interference, although an unexpected inhibition among four out of five ergot antibodies was observed. This underscores the need for an improved immunogen structure to achieve optimal detection of ergot alkaloids.
In conclusion, our study presents a promising approach for the multiplexed detection of ergot alkaloids alongside other mycotoxins, highlighting the potential of SAFIA in enhancing food and feed safety through improved mycotoxin screening. Future work will focus on refining antibody specificity and assay configurations to overcome current limitations and ensure accurate, comprehensive mycotoxin detection.
Powder bed technologies are amongst the most successful Additive Manufacturing (AM) techniques. The application of these techniques to most ceramics has been difficult so far, because of the challenges related to the deposition of homogeneous powder layers when using fine powders.
In this context, the "layerwise slurry deposition" (LSD) has been developed as a layer deposition method enabling the use of powder bed AM technologies also for advanced ceramic materials. The layerwise slurry deposition consists of the layer-by-layer deposition of a ceramic slurry by means of a doctor blade, in which the slurry is deposited and dried to achieve a highly packed powder. Not only very fine, submicron powders can be processed with low organics, but also the dense powder bed provides excellent support to the parts built.
The latest development of this technology shows that it is possible to print ceramic parts in a continuous process by depositing a layer onto a rotating platform, growing a powder bed following a spiral motion. The unique mechanical stability of the layers in LSD-print allows to grow a powder bed several centimeters thick without any lateral support. The continuous layer deposition allows to achieve a productivity more than 10X higher compared to the linear deposition, approaching a build volume of 1 liter/hour.
Understanding interfacial chemistry: probing surface modifications by differential phage display
(2024)
Phage surface display combined with next-generation sequencing allows for the in-depth analysis of millions of sequences and enables the discovery of specific target binding peptides. The vast amount of valuable data from next-generation phage display experiments on material surfaces can be used to gain insight into peptide-based molecular interactions to reveal the local interfacial chemistry. The talk will discuss a developed differential strategy for data-driven probing of 3D printed electrodes before and after electrochemical activation.
Hybrid additive manufacturing plays a crucial role in the restoration of gas turbine blades, where e.g., the damaged blade tip is reconstructed by the additive manufacturing process on the existing blade made of a parent nickel-based alloy. However, inherent process-related defects in additively manufactured material, along with the interface created between the additively manufactured and the cast base material, impact the fatigue crack growth behavior in bi-material components. This study investigates the fatigue crack growth behavior in bi-material specimens of nickel-based alloys, specifically, additively manufactured STAL15 and cast alloy 247DS. The tests were conducted at 950 °C with stress ratios of 0.1 and -1. Metallographic and fractographic investigations were carried out to understand crack growth mechanisms. The results revealed significant retardation in crack growth at the interface. This study highlights the potential contributions of residual stresses and microstructural differences to the observed crack growth retardation phenomenon, along with the conclusion from an earlier study on the effect of yield strength mismatch on crack growth behavior at a perpendicular interface in bi-material specimens.
Therapeutic monoclonal antibodies are the fastest-growing class of biological agents and the development of reliable analytical methods for their quantification is becoming increasingly important. Liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS) represents one of the leading technologies for antibody quantification. The serin protease trypsin has emerged as the gold standard enzyme for digesting intact protein into peptides for this approach. However, many protocols exist that often lead to different results. The talk will provide a brief introduction to the application of novel thermostable and surface-functionalized trypsin particles for improved antibody digestion as well as initial successes in polymer functionalization of the corundum surface to prevent nonspecific protein adsorption during the digestion procedure.
Ontologies and data pipelines - a field report from the development of multilayer ferrite inductors
(2024)
Digitalization is a current and prominent cross-cutting topic in ceramics and materials science in general. Many research initiatives and levels of significance are associated with this term. The Initiative Platform MaterialDigital (PMD), for example, aims to create a material data space filled with semantically linked data. The concept envisages that semantic relationships between the data are described as ontologies and that processing of data takes place via automated data pipelines. Various research projects from all areas of materials science are working on the implementation of this concept based on specific use cases. In the project presented here, the use case is the development of multilayer ferrite inductors as passive microelectronic components. The inductors are fabricated by ceramic multilayer technology and co-firing of metallized tapes of NiCuZn ferrite and a dielectric base material. Investigations focus on the effects of fabrication technology on the permeability of the ferrite. A data pipeline is introduced that automatically processes the unstructured experimental data into structured, machine-readable and semantically linked data. The concrete implementation of the data pipeline and a domain ontology is presented using examples. Challenges and advantages are discussed.
Bias Identification Approaches for Model Updating of Simulation-based Digital Twins of Bridges
(2024)
Simulation-based digital twins of bridges have the potential not only to serve as monitoring devices of the current state of the structure but also to generate new knowledge through physical predictions that allow for better-informed decision-making. For an accurate representation of the bridge, the underlying models must be tuned to reproduce the real system. The updated model can be eventually used for the extension of the service life of the bridge based on an accurate description of the structure. Nevertheless, the necessary assumptions and simplifications in these models irremediably introduce discrepancies between measurements and model response. We will prove that quantifying the extent of the uncertainties generated by said discrepancies provides a better understanding of the real system, enhances the model updating process, and creates more robust and trustworthy digital twins. Among others, we identify that the inclusion of the explicit bias term through a Bayesian inference framework corrects the tuned parameters, allows the identification of non-prescribed noise sources and enables the introduction of additional information in the system without modifying the simulation model. The performance of selected model bias identification approaches will be compared in the context of digital twins of bridges. The different methods will be applied to a representative demonstrator case based on the Nibelungenbrücke of Worms. The findings from this work are englobed in the initiative SPP 100+, whose main aim is the extension of the service life of structures through monitorization and digitalization, especially through the implementation of digital twins.