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- 2019 (1913) (entfernen)
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Eingeladener Vortrag
- nein (1102)
Metabolomics, the analysis of potentially all small molecules within a biological system, has become a valuable tool for biomarker identification and the elucidation of biological processes. While metabolites are often present in complex mixtures at extremely different concentrations, the dynamic range of available analytical methods to capture this variance is generally limited. Here, we show that gas chromatography coupled to atmospheric pressure chemical ionization mass spectrometry (GC-APCI-MS), a state of the art analytical technology applied in metabolomics analyses, shows an average linear range (LR) of 2.39 orders of magnitude for a set of 62 metabolites from a representative compound mixture. We further developed a computational tool to extend this dynamic range on average by more than 1 order of magnitude, demonstrated with a dilution series of the compound mixture, using robust and automatic reconstruction of intensity values exceeding the detection limit. The tool is freely available as an R package (CorrectOverloadedPeaks) from CRAN (https://cran.r-project.org/) and can be incorporated in a metabolomics data processing pipeline facilitating large screening assays.
Die voranschreitende Digitalisierung, die Globalisierung sowie die daraus resultierende beschleunigte technologische Entwicklung bringen heute für die Industrieländer Herausforderungen im Hinblick auf Wachstum, Beschäftigung und Strukturwandel mit sich, denen nur mit einer entsprechenden Innovationsdynamik und -dichte begegnet werden kann. Grundvoraussetzung hierfür ist eine leistungsfähige Forschung und Entwicklung ebenso wie Wissens- und Technologietransfer zur Umsetzung von Forschungsergebnissen in marktfähige Produkte und Dienstleistungen. Europa hat sich im Rahmen des Lissabon-Prozesses zum Ziel gesetzt, den Anteil der Forschungsausgaben am Bruttoinlandsprodukt auf 3 % zu steigern. Um die Forschungsinfrastruktur in der Bundesrepublik zu stärken und global wettbewerbsfähig zu bleiben, hat die Bundesregierung mit der Hightech-Strategie 2025 einen weiteren wichtigen Schritt zur Förderung des wissenschaftlich-technischen Fortschritts in Deutschland getan.
Forschungsprogramme sind sowohl für Forschungseinrichtungen als auch für Mittelgeber ein wichtiges Instrument für die Darstellung und Steuerung ihrer Aktivitäten. Dies gilt auch für die Bundeseinrichtungen mit Forschungs- und Entwicklungsaufgaben, zu denen die Bundesanstalt für Materialforschung und -prüfung (BAM) zählt. Die BAM verfügt über einen klaren gesetzlichen Auftrag für die Sicherheit in Technik und Chemie. Ihre Forschung ist mit der Wahrnehmung öffentlicher Aufgaben verbunden. Das Forschungsprogramm zeigt Perspektiven im Bereich ihres Aufgabenfeldes sowie ihrer damit verbundenen Forschungsaktivitäten transparent und politisch nutzbar auf und dient darüber hinaus der Koordinierung der Ressortforschung. Das Forschungsprogramm der BAM wird alle zwei Jahre aktualisiert. Es gibt einen Überblick über die aktuellen und zukünftigen Forschungsthemen und die hierfür erforderlichen Rahmenbedingungen.
Additive Fertigungsverfahren, speziell das selektive Laserschmelzen sowie das Laserpulverauftragsschweißen, ermöglichen eine enorme Steigerung der Flexibilität und erlauben Kleinserienteile mit hoher Genauigkeit und geringen Kosten herzustellen.
Für den erfolgreichen wirtschaftlichen Einsatz dieser neuartigen Fertigungsverfahren spielt die Einhaltung des First-time-right-Prinzips eine entscheidende Rolle: Bauteile sollten bereits im ersten Versuch allen Anforderungen genügen. Aufgrund der jungen Geschichte dieses Fertigungszweigs und der damit einhergehenden fehlenden Erfahrungen und Richtlinien ist diese elementare Forderung heute nur in wenigen Fällen realisierbar. Die geforderten Qualitätsstandards können aktuell nur über experimentelle Iterationsschleifen eingehalten werden, sodass das große Potential einer flexiblen und schnellen Fertigung in erheblichem Maß reduziert wird. Die Komplexität der gefertigten Bauteile und die des Prozesses an sich lassen eine erfahrungsbasierte Vorhersage der Verzüge und Eigenspannungen kaum zu. Zudem werden auch in Zukunft Richtlinien und Normen nicht das komplette Anwendungsspektrum abbilden können. Die eigenspannungsbedingten Verzüge spielen demnach eine bedeutende Rolle und stellen zusammen mit dem Erreichen der Maßhaltigkeit eine entscheidende technologische Herausforderung beim Einsatz additiver Fertigungsverfahren dar. Die numerische Simulation ermöglicht die Vorhersage von Bauteilverzügen und –spannungen und kann durch virtuelle Abprüfung von Herstellstrategien die Anzahl von Experimente reduzieren. Bisherige numerische Betrachtungen von zusatzwerkstoffbasierten Verfahren, zu denen unter anderem das Laserpulverauftragschweißen (LPA) gehört, beschränkten sich primär auf akademische Beispiele mit geringer Komplexität. Für die Simulation von konkreten Anwendungsfällen auf Bauteilebene liegen bisher keine validierten, numerischen Methoden und Ansätze vor, die eine wirtschaftliche Anwendung der Schweißsimulation ermöglichen.
Dieses Projekt wird Simulationsmodelle zur numerischen Betrachtung komplexer additiv gefertigter Bauteile entwickeln. Dafür wird der Prozess in vereinfachten Simulationen nachgebildet und anhand von Experimenten validiert. Anschließend werden Methoden zur automatisierten Pfadgenerierung für komplexe Bauteile erprobt und in der Simulation implementiert. Schließlich werden zur Reduktion der Rechenzeit verschiedene Methoden zur Vereinfachung evaluiert und verglichen. Das Ziel ist die Steigerung der Verlässlichkeit in der Simulation, um prädiktive Aussagen über die Qualität additiv gefertigter Bauteile zu ermöglichen.
Übersicht über die gefahrgutrechtlichen Anforderungen zur Bauartprüfung und dem Qualitätsmanagement für Verpackungen für nicht zulassungspflichtige Versandstücke.
In order to demonstrate the safety of both spent fuel and the storage system, a good understanding of the processes that might cause deterioration is required. The International Atomic Energy Agency (IAEA) continued the coordinated research on Spent Fuel Performance Assessment and Research (SPAR) into a fourth phase starting in 2015 to evaluate fuel and materials performance under wet and dry storage and to assess the impact of interim storage on associated spent fuel management activities (such as handling and transport). BAM’s understanding and experiences in the field of long-term storage of spent fuel and especially spent fuel characterization are presented to assist the preparation of the final project report.
Embrittlement of spent fuel claddings during long-term dry interim storage - Current approach at BAM
(2019)
The integrity of fuel rods and cladding tubes must be demonstrated throughout the dry interim storage of spent nuclear fuel in Germany. For at least a relevant number of casks, an extension of interim storage between 40 and 100 years is foreseeable. The drying procedure for the fuel rods in conjunction with the thermomechanical storage conditions may change the microstructure of the cladding tubes and lead to their possible embrittlement. The failure probability might increase under mechanical load by handling procedures (transport after storage) on potentially embrittled cladding tubes of fuel rods especially at low temperatures after long-term storage. Results of ring compression tests on unirradiated pre-hydrided as well as irradiated samples with radial hydrides are investigated by finite element analyses to be able to describe the failure process and to identify failure criteria.
The characterization of spent fuel and radioactive waste is essential in the evaluation of the ability of these materials to meet acceptance criteria. Prior to determining a method for spent fuel characterization, it is necessary to identify the type of data required to support safety and other analyses for the storage, transportation and final disposal of spent fuel. BAM’s understanding and capabilities in the field of spent fuel characterization are presented for the scope of a coordinated research project on the topic.
Die neue Crosslinking-Methode ist hilfreich, um Immunglobuline des Isotyps G ortspezifisch an ihrer Bindungsstelle mit Protein A oder G zu konjugieren. Die Kopplungen von Protein A und G konnten erfolgreich an Maus- und Human-IgG durchgeführt, sowie die Bedingungen untersucht und optimiert werden. Die Aktivierung von Protein G mit Glutaraldehyd erfolgt am besten bei pH 8 und die anschließende Kopplung mit Maus-IgG1 bei einem pH-Wert von 6. Jedoch wurden mit SIAB und Sulfo-SIAB als Crosslinker im Vergleich zu Glutaraldehyd noch höhere Signale erhalten. Für die Kopplung von SIAB sind 40% DMSO im Reaktionspuffer günstig, währenddessen Sulfo-SIAB gut wasserlöslich ist daher keine Lösungsvermittler benötigt. Es ergab sich ein optimaler pH-Wert von 7,4 um Protein A mit SIAB zu aktivieren und den gleichen pH-Wert um die Kopplung mit Maus-IgG1 durchzuführen. Für die Kopplung von Protein G mit Maus-IgG1 hingegen zeigten die Experimente, dass ein leicht saurer pH-Wert bei pH 6 für den IgG-Kopplungsschritt am günstigsten ist. Während die Inkubationszeit von Maus-IgG1 mit Protein G bei 16 h liegt, muss mit Protein A bis zu 40 h inkubiert werden, um das Kopplungsmaximum zu erreichen. Des Weiteren wurde das Crosslinking von Human-IgG (Herceptin) mit SIAB untersucht. Dabei zeigte sich, wie in der Abbildung 47 zu sehen ist, dass Protein A und G vergleichbar gut an Human-IgG zu koppeln sind. Für das Crosslinking von Protein G mit Maus-IgG1 ist dagegen ein deutlich besserer Umsatz im Vergleich zu Protein A zu erkennen (Abbildung 48). Heterobifunktionale Linker können mit der reaktiveren Gruppe die erste Bindung eingehen, um erst nach Zugabe eines weiteren Reagenzes die zweite Bindung auszubilden und zudem intramolekulare Reaktionen möglichst zu vermeiden.
Im Vergleich zu anderen Proteinen ist die Identifizierung von Antikörpern anhand ihrer Sequenz zum Beispiel mittels "peptide mass fingerprinting" schwierig. Da die Sequenzinformation eines Antikörpers aufgrund der hypersomatischen Mutation während der Affinitätsreifung nicht im Genom eines Organismus gespeichert ist, kann die Aminosäuresequenz nicht auf einfachem Weg der DNA-Sequenzierung gewonnen werden. Das ist nur in seltenen Fällen möglich, wenn dem Endanwender der Zellklon der Antikörper-produzierenden Zelle zugänglich ist. Eine Sequenzierung auf Protein-Ebene ist sehr aufwändig und teuer und wird daher fast nie für die Charakterisierung von analytischen Antikörpern verwendet. Der Mangel an Validierung dieser analytischen Antikörper, die bei Experimenten verwendeten werden, löst aber eine Reihe Probleme aus, die die Wiederholbarkeit dieser Experimente schwierig und in einigen Fällen unmöglich macht. Das sorgt jährlich für verschwendete Forschungsgelder in Milliardenhöhe und hindert den wissenschaftlichen Fortschritt.
Ziel der vorliegenden Arbeit war die Entwicklung einer einfachen und schnellen Methode, die es trotzdem ermöglicht, die Identifikation von Antikörpern sicherzustellen. Dazu wurde eine Methode basierend auf dem "peptide mass fingerprinting" gewählt. Das Problem der unbekannten Aminosäuresequenz der Antikörper wurde gelöst, indem lediglich die Peptidmuster der entstehenden Fingerprint-Spektren zur Identifikation herangezogen wurden. MALDI wurde dabei als Ionisationsmethode für die Massenspektrometrie gewählt, da die resultierenden Spektren im Gegensatz zu ESI-MS einfach auszuwerten sind. Auch kann auf eine vorige Trennung der Peptide mittels LC verzichtet werden, was zusätzlich Analysenzeit spart. Für die Proteinspaltung wurde eine simple saure Hydrolyse mittels Ameisensäure gewählt. Im Vergleich zum herkömmlichen Trypsin-Verdau konnten auf zeitraubende Arbeitsschritte wie Denaturierung, Reduktion und Alkylierung der Antikörper verzichtet werden. Die Hydrolyse mittels Ameisensäure wurde bisher nur auf kleine und mittelgroße Proteine angewendet, sodass im ersten Teil dieser Arbeit mehrere Schritte optimiert wurden bevor zufriedenstellende Fingerprint-Spektren von Antikörpern erhalten wurden.