TY - CONF A1 - Hernandez Garcia, Maria Amparo T1 - Optical immuno-detection of targeted explosives using 3D printed optical elements N2 - Immuno-detection biosensors represent a prominent and recognized field within the classical analytical tools. Their popularity stems not only from their selectivity but also from their remarkable sensitivity. However, in applications where trace detection is required, especially with small molecules, sensitivity can become a limitation. For example, this is the case in forensic analysis where the in-situ detection of explosives remains a challenge due to the limited availability of sensitive sensor platforms. In this work, we present an optical biosensor for the highly specific and sensitive detection of Home-Made Explosives (HME). The immunoassay system is placed in a hydrogel environment that is permeable to the analyte and transparent to light interrogating the fluorescently labelled antibodies. The readout of the immunoanalytical system is realized with Supercritical Angle Fluorescence (SAF). This advanced microscopy technique, facilitates the fluorescence detection at the surface level discriminating bulk emission.[1, 2] To achieve this, we have used a commercially available high-resolution (< 22 µm) SLA printer to fabricate a SAF element.[3] Prior to fabrication, an optical simulation was performed to validate the accuracy of the system’s light path for optimum SAF collection. This affordable technology, with a short fabrication time and no design constraints, grants us the freedom to fabricate a parabolic optical element out of transparent resin specifically tailored to collect the emission generated at the interface of the immunoanalytical system. In order to obtain an antibody-specific interface, glass surface was functionalised with the hapten related to the target analyte. In this way, a surface with non-covalently attached labelled antibodies is obtained, making possible their displacement, and, hence, SAF modulation (Figure 1). Aiming at a new generation of sensors, which not only can meet the requirements of trace detection, but can also be used for substance identification, the combination of immunoanalytical recognition with SAF detection offers a modularity and versatility that is, in principle, well suited to the measurement of target analytes at trace levels. T2 - Europtrode 2026 CY - Jena, Germany DA - 29.03.2026 KW - 3D printing KW - SAF KW - Free-form optics KW - Immunoassay PY - 2026 AN - OPUS4-65814 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kasch, Thomas T1 - Sicherheit von Sauerstoffanlagen - aus Unfällen und Erfahrungen lernen N2 - Der Vortrag zeigt Beispiele auf, wie einerseits durch Untersuchungen von Unfällen sowie andererseits durch die zahlreichen Prüfungen an der BAM Erkenntnisse gewonnen wurden. Diese sind in die Überarbeitung von Normen und Standards sowie in die Modifikation von Prüfverfahren und von Bewertungskriterien eingeflossen. So wird zum Beispiel bei der Untersuchung nichtmetallischer Materialien versucht, den tatsächlichen, praktischen Anwendungsfall zu berücksichtigen und diesen durch die Prüfungen möglichst abzubilden. Änderungen beim Herstellungsprozess, bei der Materialzusammensetzung und bei Weiterverarbeitungsprozessen nichtmetallischer Materialien haben in der Vergangenheit immer wieder zu deutlich unterschiedlichen Prüfergebnissen geführt. Dem wurde nunmehr durch die Einführung chargenbezogener Prüfungen Rechnung getragen. Für Ventile mit integriertem Druckregler (Valves with Integrated Pressure Regulator - VIPR) wurden neue und überarbeitete Prüfanforderungen für die Lebensdauer und für die Ausbrennsicherheit festgeschrieben, um den gestiegenen sicherheitstechnischen Anforderungen für Anwendungen mit medizinischem Sauerstoff Rechnung zu tragen. Ziel ist es, auch zukünftig die Sicherheit von Sauerstoffanlagen durch die Betrachtung von Unfällen und die Erfahrungen aus Prüfungen zu verbessern. T2 - 1. Berliner Fachtagung für Prozess- und Anlagensicherheit CY - Berlin, Germany DA - 24.03.2026 KW - Sauerstoff KW - Unfälle KW - Chargenprüfung KW - Prüfanforderungen KW - Sicherheit PY - 2026 AN - OPUS4-65813 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Koerdt, Andrea T1 - Methanogenic Archaea as Drivers of Microbiologically Influenced Corrosion N2 - Microbiologically influenced corrosion (MIC) poses a significant threat to metallic infrastructure across sectors—from energy and marine environments to cultural heritage conservation and emerging technologies such as underground hydrogen storage (UHS). Methanogenic archaea have emerged as key contributors to corrosion under anaerobic conditions, capable of directly interacting with metal surfaces via extracellular electron transfer. This presentation provides an overview of our recent work on identifying, characterizing, and mitigating MIC caused by methanogens. We focus on the genetic differentiation of methanogenic strains, highlighting a novel class of [Ni/Fe]-hydrogenases identified exclusively in corrosive methanogens to date. These enzymes may serve as molecular markers for MIC risk assessment due to their unique sequence and functional properties. Additionally, we explore strain-specific differences in hydrogenase glycosylation and correlate these with observed variations in corrosion severity, biofilm formation, microbial surface interactions, and potentially enzyme stability. These findings suggest glycosylation may play a previously underappreciated role in MIC dynamics. To mitigate MIC, we investigate polyoxometalate-based (POM) coatings—originally developed for protecting stone-based artifacts—which we now apply to metal surfaces. These multifunctional coatings effectively inhibit biofilm formation and microbial activity, offering a promising strategy for corrosion control. Furthermore, we have developed customized test systems that simulate realistic environmental conditions, including high-pressure settings and dynamic flow regimes with varying velocities. These platforms allow for controlled evaluation of microbial corrosion under conditions relevant to underground hydrogen storage and marine environments, where salinity, pressure, and microbial activity interact. Our findings demonstrate that integrating molecular diagnostics, surface engineering, and advanced simulation platforms provides new insights into MIC mechanisms and opens avenues for predictive diagnostics and sustainable corrosion control strategies in industrial applications. T2 - Annual Conference of the Association for General and Applied Microbiology CY - Berlin, Germany DA - 22.03.2026 KW - MIC KW - Microbiologically influenced corrosion KW - Laboratory testing KW - [Ni/Fe]-hydrogenase KW - Hochdruckbehälter KW - Biocorrosion PY - 2026 UR - https://programme.conventus.de/en/vaam-2026/program/program-points/6b386376-ad06-4ac3-af22-c1c663316939 AN - OPUS4-65812 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Gleim, Tobias T1 - Ai-Enhanced Documentation Analysis in Regulatory Safety Assessment of Transport Packages N2 - The transport of radioactive material requires regulatory approval based on the package type, as defined by the regulations of the International Atomic Energy Agency (IAEA). These approvals rely on comprehensive Package Design Safety Reports that evaluate mechanical, thermal, shielding, criticality and transport requirements, supported by specifications, inspections, certificates, drawings, and other technical documentations. Such safety reports contain numerous interconnected documents, and even minor changes, such as component modifications, updated material properties or revised regulations, may affect multiple sections. Although all reports follow the same regulatory framework, each package has unique design features, making every safety assessment distinct. Most documentation exists in digital form but remains largely non–machine-interpretable, limiting automated analysis of dependencies across documents. The extended synopsis argues that overcoming these limitations requires moving from simple digitization toward structured knowledge representation. A multi-stage approach begins with foundational AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), which improve information retrieval but cannot capture the full complexity of safety report interrelationships. Building Knowledge Graphs (KGs) offers the necessary next step by transforming heterogeneous, unstructured, and semi-structured documents into a connected, queryable network. KGs enable precise tracing and visualization of dependencies across datasheets, simulations, experimental results, standards, and regulatory requirements. Such structured representations would allow automatic detection of changes, propagation of effects across related documents and validation of conditions using AI-supported tools, reducing manual workload, and improving safety and consistency. Human error remains a significant factor in drafting and reviewing safety reports. A digital quality infrastructure could reduce the number of iterations and further streamline the overall process. Integrating AI into this workflow has the potential not only to optimize assessments but also to improve their robustness by increasing the interpretability of documentation and thereby enhancing overall safety. This preliminary study examines the readiness and requirements for intelligent documentation analysis systems that support regulatory compliance for transport package safety. By analysing current documentation workflows, it demonstrates how LLM-based tools can interpret complex safety reports and identify critical interdependencies, and why KG-based architectures are essential for managing these dependencies reliably. T2 - International Conference on the Safe and Secure Transport of Nuclear and Radioactive Material CY - Vienna, Austria DA - 23.03.2026 KW - AI KW - RAG KW - LLM KW - Knowledge Graph PY - 2026 AN - OPUS4-65809 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Hodoroaba, Vasile-Dan T1 - Capacity building and Knowledge Exchange in Research Management from the Perspective of a Project Coordinator N2 - In the Seminar "Capacity building and Knowledge Exchange in Research Management" following three points are presented in detail: - Example of a successfully completed international project, - Role of institutional support in project success, and - Practical challenges and lessons learned from a coordinator‘s perspective. T2 - Seminar "Capacity building and Knowledge Exchange in Research Management" CY - Online meeting DA - 25.03.2026 KW - Research management KW - Institutional support KW - Project coordination KW - European projects PY - 2026 AN - OPUS4-65811 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Gleim, Tobias T1 - Accident-Induced Battery and Hydrogen Fires: Challenges for the Safe Transport of Packages with Radioactive Material N2 - The transport of radioactive material is subject to stringent safety requirements defined in the IAEA regulations SSR-6 [1]. These requirements, particularly the thermal and mechanical accident conditions of transport (ACT), are rooted in studies established in the 1960s and have remained largely unchanged, especially regarding thermal boundary conditions. For many decades, the type of propulsion technology used for transporting dangerous goods has remained unchanged. In recent years, however, alternative drive technologies have made their breakthrough and are becoming increasingly established on the market. Since then, the rapid adoption of battery-electric and hydrogen-powered vehicles in heavy-duty freight and dangerous goods transport is altering the conditions under which accidents may occur. This raises a central question: Are current regulatory tests, such as the 800°C and 30-minute thermal test, still sufficiently conservative for ACT involving vehicles with alternative propulsion technologies? Battery fires pose specific challenges due to the properties of lithium-ion cells and emerging chemistries such as NMC, LFP, and NCA/LTO. Their highly flammable electrolytes, potential for thermal runaway, release of toxic gases, and long-duration or reigniting fires differ markedly from conventional fuel fires. Such behavior questions whether existing thermal test specifications adequately reflect realistic accident conditions involving electric vehicles. Hydrogen-powered vehicles introduce additional hazards. Accidental releases can form explosive mixtures, and ignitions may produce intense jet fires or explosions with high radiative heat fluxes. Near a package, these events can create thermal loads and transient pressures not fully captured by current regulatory test envelopes. Beyond peak temperatures and exposure time, parameters emphasized in IAEA SSG-26 [2], such as emissivity, absorptivity, heat flux, and fuel energy density, are critical for determining net heat input and require assessment with respect to realistic scenarios. Addressing these gaps requires a research program focused on vehicle fire scenarios and their implications for the safety assessment of packages for radioactive material. This includes developing conservative accident scenarios for various battery chemistries and performing large-scale experiments with calorimetric reference packages and instrumented setups. Notably, there are currently no experimental investigations of accidents involving transport vehicles with alternative propulsion in which the dangerous goods - the package and its loading - have been the central focus rather than the vehicle itself. A necessary research project must aim to assess the relevance of the IAEA's existing transport testing requirements regarding these new risks and, if necessary, propose changes or supplementary measures. Its methods and datasets should also support assessments for other dangerous goods, ensuring that regulatory measures continue to provide robust protection in an evolving transport landscape. T2 - International Conference on the Safe and Secure Transport of Nuclear and Radioactive Material CY - Vienna, Germany DA - 23.03.2026 KW - Fire Test Stand KW - Accident Scenario KW - IAEA Regu-lations KW - Fire Qualification PY - 2026 AN - OPUS4-65807 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Koerdt, Andrea T1 - Mikrobielle Einflüsse auf Wasserstoffspeicherung: Materialien, Abbauprozesse und Teststrategien N2 - Wasserstoff gilt als Schlüsseltechnologie für die Energiewende – doch seine sichere Anwendung stellt neue Anforderungen an Technik, Infrastruktur und Personal. Die Veranstaltung „H₂ Sicherheit“ bietet eine umfassende Plattform, um sich über die sicherheitsrelevanten Aspekte von Wasserstoff zu informieren und praxisnahe Lösungen kennenzulernen. Expert:innen aus Forschung, Industrie und Netzbetrieb geben Einblicke in aktuelle Entwicklungen, Herausforderungen und Best Practices. Fokus dieser Präsentation war der Mikrobielle Einfluss bei der unterirdischen Speicherung von Wasserstoff und das neuartige Testsystem (MISTRAL) T2 - DVGW- H₂ Sicherheit CY - Online meeting DA - 24.03.2026 KW - Wasserstoff KW - Unterirdische geologische Formationen KW - MISTRAL KW - MIC KW - Hochdruckbehälter KW - Biokorrosion PY - 2026 UR - https://www.dvgw-kongress.de/veranstaltungen/gas/h2-sicherheit#collapse-8103 AN - OPUS4-65810 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Gleim, Tobias T1 - Accident-Induced Battery and Hydrogen Fires: Challenges for the Safe Transport of Packages with Dangerous Goods N2 - The transport of radioactive material is subject to stringent safety requirements defined in the IAEA regulations SSR-6 [1]. These requirements, particularly the thermal and mechanical accident conditions of transport (ACT), are rooted in studies established in the 1960s and have remained largely unchanged, especially regarding thermal boundary conditions. For many decades, the type of propulsion technology used for transporting dangerous goods has remained unchanged. In recent years, however, alternative drive technologies have made their breakthrough and are becoming increasingly established on the market. Since then, the rapid adoption of battery-electric and hydrogen-powered vehicles in heavy-duty freight and dangerous goods transport is altering the conditions under which accidents may occur. This raises a central question: Are current regulatory tests, such as the 800°C and 30-minute thermal test, still sufficiently conservative for ACT involving vehicles with alternative propulsion technologies? Battery fires pose specific challenges due to the properties of lithium-ion cells and emerging chemistries such as NMC, LFP, and NCA/LTO. Their highly flammable electrolytes, potential for thermal runaway, release of toxic gases, and long-duration or reigniting fires differ markedly from conventional fuel fires. Such behavior questions whether existing thermal test specifications adequately reflect realistic accident conditions involving electric vehicles. Hydrogen-powered vehicles introduce additional hazards. Accidental releases can form explosive mixtures, and ignitions may produce intense jet fires or explosions with high radiative heat fluxes. Near a package, these events can create thermal loads and transient pressures not fully captured by current regulatory test envelopes. Beyond peak temperatures and exposure time, parameters emphasized in IAEA SSG-26 [2], such as emissivity, absorptivity, heat flux, and fuel energy density, are critical for determining net heat input and require assessment with respect to realistic scenarios. Addressing these gaps requires a research program focused on vehicle fire scenarios and their implications for the safety assessment of packages for radioactive material. This includes developing conservative accident scenarios for various battery chemistries and performing large-scale experiments with calorimetric reference packages and instrumented setups. Notably, there are currently no experimental investigations of accidents involving transport vehicles with alternative propulsion in which the dangerous goods - the package and its loading - have been the central focus rather than the vehicle itself. A necessary research project must aim to assess the relevance of the IAEA's existing transport testing requirements regarding these new risks and, if necessary, propose changes or supplementary measures. Its methods and datasets should also support assessments for other dangerous goods, ensuring that regulatory measures continue to provide robust protection in an evolving transport landscape. T2 - ASNR-BAM Workshop CY - Paris, France DA - 31.03.2026 KW - Fire Test Stand KW - Accident Scenario KW - IAEA Regu-lations KW - Fire Qualification PY - 2026 AN - OPUS4-65804 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Traub, Heike T1 - Elemental Mapping to Study the Interaction of MRI Contrast Agents with Extracellular Matrix Components N2 - Magnetic resonance imaging (MRI) is a powerful imaging technique for diagnostic purposes and is frequently used in clinical routine. Typically, non-specific gadolinium-based contrast agents (GBCAs) are used to improve the image quality. Such contrast agents have been in use for more than 35 years, yet their interaction with tissue components is still not fully understood. Typically, they go into the extracellular space. The extracellular matrix (ECM) is a three-dimensional network of macromolecules providing structural and biochemical support of the surrounding cells in all mammalian tissues. It is composed of structural proteins (e.g., collagen, elastin) and proteoglycans, which consist of glycosaminoglycans (GAGs) covalently bound to a protein core. GAGs are long, linear polysaccharides composed of repeating disaccharide units that differ in molecular mass, disaccharide structure and degree of sulfation. Many diseases, including inflammation and tumor invasion, are associated with characteristic ECM changes, especially at an early stage of disease development. Characteristic of GAGs is their ability to form complexes with cations, e.g., with lanthanides. Thus, GAGs could be a potential binding partner for GBCA molecules as a whole or for dechelated Gd. In this study we investigated the interaction of ionic Gd and GBCAs with tissue components using spheroids with different ECM expressions as model systems. Chinese hamster ovary (CHO) cells and CRL-2242 cells, a CHO mutant that does not produce GAGs, were used to prepare spheroids. These were then incubated with gadolinium chloride and various linear and macrocyclic GBCAs. To study the uptake and distribution two complementary element mapping techniques were used – laser ablation in combination with inductively coupled plasma time-of-flight mass spectrometry and synchrotron radiation nano X-ray fluorescence spectroscopy, which offers sub-cellular resolution. In addition to Gd, other elements such as Fe, P and S were also measured. Although all spheroids were exposed to identical Gd concentrations, differences were observed. After incubation with GBCAs, Gd is detected in the interior of both types of spheroids. In contrast, incubation with gadolinium chloride leads to Gd enrichment in the outer regions and to much higher Gd contents compared to incubation with GBCAs. However, due to biological variability, further experiments are needed to elucidate such complex processes as the interaction of GBCAs with ECM components. T2 - Analytica Conference CY - Munich, Germany DA - 24.03.2026 KW - ICP-MS KW - Contrast agent KW - Imaging KW - Spheroid PY - 2026 AN - OPUS4-65801 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Gleim, Tobias T1 - AI-Enhanced Documentation Analysis in Regulatory Safety Assessment of Dangerous Goods Packages N2 - The transport of radioactive material requires regulatory approval based on the package type, as defined by the regulations of the International Atomic Energy Agency (IAEA). These approvals rely on comprehensive Package Design Safety Reports that evaluate mechanical, thermal, shielding, criticality and transport requirements, supported by specifications, inspections, certificates, drawings, and other technical documentations. Such safety reports contain numerous interconnected documents, and even minor changes, such as component modifications, updated material properties or revised regulations, may affect multiple sections. Although all reports follow the same regulatory framework, each package has unique design features, making every safety assessment distinct. Most documentation exists in digital form but remains largely non–machine-interpretable, limiting automated analysis of dependencies across documents. The extended synopsis argues that overcoming these limitations requires moving from simple digitization toward structured knowledge representation. A multi-stage approach begins with foundational AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), which improve information retrieval but cannot capture the full complexity of safety report interrelationships. Building Knowledge Graphs (KGs) offers the necessary next step by transforming heterogeneous, unstructured, and semi-structured documents into a connected, queryable network. KGs enable precise tracing and visualization of dependencies across datasheets, simulations, experimental results, standards, and regulatory requirements. Such structured representations would allow automatic detection of changes, propagation of effects across related documents and validation of conditions using AI-supported tools, reducing manual workload, and improving safety and consistency. Human error remains a significant factor in drafting and reviewing safety reports. A digital quality infrastructure could reduce the number of iterations and further streamline the overall process. Integrating AI into this workflow has the potential not only to optimize assessments but also to improve their robustness by increasing the interpretability of documentation and thereby enhancing overall safety. This preliminary study examines the readiness and requirements for intelligent documentation analysis systems that support regulatory compliance for transport package safety. By analysing current documentation workflows, it demonstrates how LLM-based tools can interpret complex safety reports and identify critical interdependencies, and why KG-based architectures are essential for managing these dependencies reliably. T2 - ASNR-BAM Workshop CY - Paris, France DA - 31.03.2026 KW - AI KW - RAG KW - LLM KW - Knowledge Graph PY - 2026 AN - OPUS4-65802 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -