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Eingeladener Vortrag
- nein (371)
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.
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.
Additive Manufacturing (AM) in terms of laser powder-bed fusion (L-PBF) offers new prospects regarding the design of parts and enables therefore the production of lattice structures. These lattice structures shall be implemented in various industrial applications (e.g. gas turbines) for reasons of material savings or cooling
channels. However, internal defects, residual stress, and structural deviations from the nominal geometry are unavoidable.
In this work, the structural integrity of lattice structures manufactured by means of L-PBF was non-destructively investigated on a multiscale approach.
A workflow for quantitative 3D powder analysis in terms of particle size, particle shape, particle porosity, inter-particle distance and packing density was established.
Synchrotron computed tomography (CT) was used to correlate the packing
density with the particle size and particle shape. It was also observed that at least about 50% of the powder porosity was released during production of the struts.
Struts are the component of lattice structures and were investigated by means of laboratory CT. The focus was on the influence of the build angle on part porosity and surface quality. The surface topography analysis was advanced by the quantitative characterisation of re-entrant surface features. This characterisation was compared with conventional surface parameters showing their complementary
information, but also the need for AM specific surface parameters.
The mechanical behaviour of the lattice structure was investigated with in-situ CT under compression and successive digital volume correlation (DVC). The Deformation was found to be knot-dominated, and therefore the lattice folds unit cell layer wise.
The residual stress was determined experimentally for the first time in such lattice structures. Neutron diffraction was used for the non-destructive 3D stress investigation. The principal stress directions and values were determined in dependence of the number of measured directions. While a significant uni-axial stress state was found in the strut, a more hydrostatic stress state was found in the knot. In both cases, strut and knot, seven directions were at least needed to
find reliable principal stress directions.
This study was designed to examine and compare the operation of accreditation bodies in Europe. A management tool, the Process Maturity Benchmarking Tool (PMBT), was elaborated and validated by applying it to various accreditation bodies. By applying the tool, the values of indicators were determined, thus enabling a comparison of the accreditation bodies despite different operational processes and organizational forms.
The management tool PMBT is based on the analysis of selected processes with high relevance for the operation of accreditation bodies. The processes are derived from a process map designed for accreditation bodies in a universally applicable way. The indicators used to characterize the processes come from two sources: The first source relates to data already available from internal databases, reports, financial audits etc. The second source is derived from a self-evaluation of process maturity performed by the accreditation bodies. The criteria for evaluating process maturity were designed by applying the criteria of the EFQM excellence model 2013 of the European Foundation for Quality Management (EFQM) to the processes identified in the process map.
The project Comparison of the Operation of Accreditation Bodies in Europe comprised three stages. In the first stage, the processes of accreditation bodies were systematically analyzed. A process map was developed and processes of special relevance for the performance of accreditation bodies were identified and underpinned by indicators as described above. In the second stage, the processes of the German accreditation body DAkkS were assigned to the tool. This stage was used to check and modify the indicators when necessary. In the third stage, the transferability of the model was analyzed by extension to seven other accreditation bodies operating in Europe. The third stage of the project ended with a workshop attended by the eight accreditation bodies, which was used to present and discuss the results of the comparison and to identify best practices.
The high ionization potentials and low wavelength emission lines of halogens difficult the analysis of their organohalogen compounds by ICP-based methods [1]. Other techniques, such as combustion ion chromatography (CIC) or ion-selective electrodes have proven to be more reliable to determine these elements. However, these techniques are more time-consuming and/or have lower precision and accuracy.
High resolution continuum source graphite furnace molecular absorption spectrometry (HR CS GFMAS) allows the determination of solid and liquid samples by monitoring a molecule formed with the analyte and a molecule forming reagent. In the case of F, Cl and Br, several molecule forming agents have been studied for their determination. Among all of them, calcium can form a stable bond with the three elements and provides optimal analytical properties for trace analysis [2]. However, the spectral window of commercially available continuum source AAS instruments is not broad enough to cover the wavelength range necessary for a simultaneous determination. Thus, coupling it with a modular simultaneous echelle spectrograph (MOSES), which can register around 200 nm in a single measure, allows the simultaneous study of the three analytes [3].
This instrumentation is capable of register more than 200 nm of the spectra per measure keeping a high resolution. This spectral window is suitable for the monitorization of a variety of transitions of the three molecules. However, some of them are overlapped and the competitive mechanism of formation of the three molecules modify their sensitivity depending on the proportions in the sample.
In this study, a compromise in the conditions and modifiers were selected in order to maximize the sensitivity and signal to noise ratio for the three molecules. The determination was carried out by standard addition of CaF and Cl and Br were obtained from the PLS model.
References:
[1] X. Bu, T. Wang, G. Hall, J. Anal. At. Spectrom., 18, 1443–1451 (2003)
[2] M. Resano, E. García-Ruiz, M. Aramendía, M. A. Belarra, J. Anal. At. Spectrom., 34, 59–80 (2019)
[3] S. Geisler, M. Okruss, H. Becker-Ross, M. Dong Huang, N. Esser, S. Florek, Spectrochimica Acta PartB, 107, 11–16 (2015)
In Berlin befinden sich Fragmente indigener Bilderhandschriften, die Alexander von Humboldt aus Mexiko mitbrachte. Fast alle stammen sie aus der ehemaligen Sammlung des Italieners Lorenzo Boturini, deren Reste heute über mehrere Länder verstreut sind. Der hohe Fragmentierungsgrad sowie ungeklärte Fragen zur Provenienz und Genese der Bruchstücke machen es schwierig, sie zu rekontextualisieren. Um dies dennoch zu erreichen, kommen einander ergänzende moderne natur- und kulturwissenschaftliche Methoden zum Einsatz. Als Beispiel einer Neuzuordnung werden die Humboldt-Fragmente IX-XII vorgestellt. Dass die vier Bruchstücke verwandt sind, wurde schon lange vermutet, nicht jedoch, dass sie zusammen mit einem nicht mehr vorhandenen Mittelteil ein einziges Dokument gebildet haben. Die Gründe für eine derartige Rekonstruktion werden als Ergebnis der Forschungsarbeiten diskutiert.
AI-reflectivity is a code based on artificial neural networks trained with simulated reflectivity data that quickly predicts film parameters from experimental X-ray reflectivity curves. This project has a common root with (ML-reflectivity)[https://github.com/schreiber-lab/ML-reflectivity] and evolved in parallel. Both are linked to the following publication:
Fast Fitting of Reflectivity Data of Growing Thin Films Using Neural Networks A. Greco, V. Starostin, C. Karapanagiotis, A. Hinderhofer, A. Gerlach, L. Pithan, S. Liehr, F. Schreiber, S. Kowarik (2019). J. Appl. Cryst.
For an online live demonstration using a pre-trained network have a look at github.
The analysis of the chemical composition of cement-based materials like concrete is a crucial task in civil engineering. Concrete is a multi-phase material made of cement, water, aggregates, additives and admixtures. During the damage assessment of concrete structures, the external ingress of harmful species like chlorine, alkalis or sulfates needs to be determined. In order to provide a fast and precise analysis of concrete the application of LIBS offers unique possibilities as the technique can detect all elements at air atmosphere.
To determine the condition of concrete, the information about the chemical composition, the ingress of harmful species as well as the evaluation of characteristic values like the used cement type or the type of aggregates are needed. This work presents the two-dimensional evaluation of concrete samples using LIBS and multivariate data analysis of atomic and molecular emission. For the evaluation of the main components different classification methods will be applied to identify the heterogeneity of the samples. With respect to their specific phase, different species will be quantified using multivariate regression (PLS) and important figures of merit will be presented. All results will be verified using Standard procedure of wet chemistry (XRF, potentiometric titration and ICP-OES).