TY - CONF A1 - Wilsch, Gerd A1 - Völker, Tobias A1 - Klewe, Tim A1 - Kruschwitz, Sabine T1 - Laser Induced Breakdown Spectroscopy – A Tool for Imaging the Chemical Composition of Concrete N2 - One of the most common causes of damage is the ingress of harmful ions into the concrete, which can lead to deterioration processes and affect structural performance. Therefore, the increasingly aging infrastructure is regularly inspected to assess durability. Regular chemical analysis can be useful to determine the extent and evolution of ion ingress and to intervene in a timely manner. This could prove more economical than extensive repairs for major damage, particularly for critical infrastructure. In addition to already established elemental analysis techniques in civil engineering such as potentiometric titration or X-ray fluorescence analysis, laser-induced breakdown spectroscopy (LIBS) can provide further important complementary information and benefits. The possibilities of LIBS are demonstrated using the example of a drill core taken from a parking garage. T2 - 6th International Conference on Concrete Repair, Rehabilitation and Retrofitting CY - Kapstadt, South Africa DA - 03.10.2022 KW - LIBS KW - Concrete KW - Chlorine PY - 2022 UR - https://iccrrr2022.org/downloads SP - 126 EP - 127 AN - OPUS4-56062 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Gornushkin, Igor B. T1 - Back Deposition of Titanium Oxides under Laser Ablation of Titanium: Simulation and Experiment N2 - Titanium is widely used in medicine for implants and prostheses, thanks to its high biocompatibility, good mechanical properties, and high corrosion resistance. Pure titanium, however, has low wear resistance and may release metallic titanium into surrounding tissues. Structuring and coating its surface with oxide layers are necessary for high wear resistance and improved biocompatibility. In this work, a combination of theoretical and experimental methods was used to study processes responsible for deposition of titanium oxides during ablation of titanium in air. The deposition process was modeled via the Navier-Stokes equations that accounted for the material removal and accumulation of the deposit on the ablation surface. The chemical part was based on the equilibrium model embedded into the hydrodynamic code. Simulations showed that the most active zone of production of condensed titanium oxides were at plasma periphery whereas a zone of strong condensation of titanium metal was above the molten pool. In experiment, a pulsed Yb fiber laser was scanned across a titanium surface. The temperature and composition of the plasma were inferred from plasma emission spectra. The post-ablation surface was analyzed by SEM, TEM, STEM, AFM, and XRD. The developed model well reproduced the main features of experimental data. It was concluded that the deposition of condensed metal oxides from the plasma is a principal mechanism of formation of nanoporous oxide layer on the metal surface. The method of surface structuring and modification by nanosecond laser ablation can be developed into a useful technology that may find applications in medicine, photonics, and other areas. T2 - SciX 2022, The Federation of Analytical Chemistry and Spectroscopy Societies (FACSS) CY - Cincinnati, OH, USA DA - 02.10.2022 KW - Surface coating KW - Laser ablation KW - Plasma modeling PY - 2022 AN - OPUS4-55969 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Holstein, Tanja T1 - Probability based taxonomic profiling of viral and microbiome samples using PepGM and Unipept N2 - In mass spectrometry based proteomics, protein homology leads to many shared peptides within and between species. This complicates taxonomic inference in samples of unknown taxonomic origin. PepGM uses a graphical model for taxonomic profiling of viral proteomes and metaproteomic datasets providing taxonomic confidence scores. To build the graphical model, a list of potentially present taxa needs to be inferred. To this end, we integrate Unipept, which enables the fast querying of potentially present taxa. Together, they allow for taxonomic inference with statistically sound confidence scores. T2 - HUPO 2022 world congress CY - Cancun, Mexico DA - 04.12.2022 KW - Bioinformatics KW - Mass spectrometry KW - Taxonomic analysis KW - Microbiomes PY - 2022 AN - OPUS4-56748 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Holstein, Tanja T1 - PepGM: A graphical model for taxonomic profiling of viral proteomes N2 - In mass spectrometry based proteomics, protein homology leads to many shared peptides within and between species. This complicates taxonomic inference. inference. We introduce PepGM, a graphical model for taxonomic profiling of viral proteomes and metaproteomic datasets. Using the graphical model, our approach computes statistically sound scores for taxa based on peptide scores from a previous database search, eliminating the need for commonly used heuristics. heuristics. T2 - International conference on systems biology 2022 CY - Berlin, Germany DA - 07.10.2022 KW - Bioinformatics KW - Virus protoemics KW - Taxonomic analysis KW - Graphical models PY - 2022 AN - OPUS4-56749 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Holstein, Tanja T1 - PepGM: A graphical model for taxonomic profiling of viral proteomes N2 - In mass spectrometry based proteomics, protein homology leads to many shared peptides within and between species. This complicates taxonomic inference. inference. We introduce PepGM, a graphical model for taxonomic profiling of viral proteomes and metaproteomic datasets. Using the graphical model, our approach computes statistically sound scores for taxa based on peptide scores from a previous database search, eliminating the need for commonly used heuristics. heuristics. T2 - European proteomics association conference 2022 CY - Leipzig, Germany DA - 03.04.2022 KW - graphical models KW - Taxonomic inference KW - Bioinformatics KW - Virus protoemics PY - 2022 AN - OPUS4-56750 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Holstein, Tanja T1 - PepGM: A graphical model for taxonomic profiling of viral proteomes N2 - In mass spectrometry based proteomics, protein homology leads to many shared peptides within and between species. This complicates taxonomic inference. inference. We introduce PepGM, a graphical model for taxonomic profiling of viral proteomes and metaproteomic datasets. Using the graphical model, our approach computes statistically sound scores for taxa based on peptide scores from a previous database search, eliminating the need for commonly used heuristics. T2 - European bioinformatics community winter school 2022 CY - Lisbon, Portugal DA - 21.03.2022 KW - Bioinformatics KW - Virus protoemics KW - Taxonomic analysis KW - Graphical models PY - 2022 AN - OPUS4-56751 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Holstein, Tanja T1 - PepGM: A graphical model for taxonomic profiling of viral proteomes N2 - In mass spectrometry based proteomics, protein homology leads to many shared peptides within and between species. This complicates taxonomic inference. inference. We introduce PepGM, a graphical model for taxonomic profiling of viral proteomes and metaproteomic datasets. Using the graphical model, our approach computes statistically sound scores for taxa based on peptide scores from a previous database search, eliminating the need for commonly used heuristics. T2 - European bioinformatics community winter school 2022 CY - Lisbon, Portugal DA - 21.03.2022 KW - Bioinformatics KW - Virus protoemics KW - Taxonomic analysis KW - Graphical models PY - 2022 AN - OPUS4-56753 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Frenzel, Olivia T1 - Identification of Metabolites and Transformation Products of Bisphenols N2 - Bisphenol A (BPA) is used in Polycarbonate, Polyacrylic resins, Polysulfones, Epoxy resins, and Polyetherimides. It is also used in recycled Polyvinyl chloride [1–3]. BPA has been classified as a substance of very high concern (SVHC) under REACH [4] due to its endocrine disrupting properties. The German competent authorities want to reduce the content of BPA in the environment. Possible substitutes for BPA are Bisphenol B (BPB), Bisphenol E (BPE), Bisphenol F (BPF), or Bisphenol S (BPS), as they are similar in structure. BPA-based materials have a wide area of application especially outside. These outdoor applications are exposed to different external influences, including physical, biological, mechanical and chemical influences. This results in damage and aging of the material with leaching or migration into the environment. There, the substance is transformed by various transformation processes. The emerging metabolites and transformation products (TPs) can have different properties than the parent substance. Understanding the fate and behavior of the emerging pollutants is very important. Therefore, different transformation products of selected bisphenols will be generated and analyzed: To investigate the fate of different bisphenols in water treatment plants technical transformation products [5] will be generated by chlorination, ozonization, the Fenton reaction, and UV-radiation. For the investigation of the fate of Bisphenols in surface water global radiation will be simulated with UVA-lamps Simulation of phase-I-metabolism with an electrochemical cell coupled to mass spectrometry (EC-MS). T2 - Anakon 2023 CY - Vienna, Austria DA - 11.04.2023 KW - Transformation products KW - Bisphenols KW - Metabolites KW - Wastewater KW - Environment PY - 2022 AN - OPUS4-57374 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Michail Ioannis, Chronakis A1 - von der Au, Marcus A1 - Meermann, Björn T1 - Single cell-asymmetrical flow field-flow fractionation/ICP-time of flight-mass spectrometry (sc-AF4/ICP-ToF-MS): an efficient alternative for the cleaning and multielemental analysis of individual cells N2 - Asymmetrical Flow Field-Flow Fractionation (AF4), as a cleaning technique, was combined on-line with the multielemental analytical capabilities of an Inductively Coupled Plasma-Time of Flight-Mass Spectrometer (ICP-ToF-MS). In that manner, the heavy ionic matrix effect of untreated cells' samples can be significantly reduced. As a proof of concept, commercial baker's yeast cells were analysed. KW - AF4 KW - Single Cell KW - Cleaning PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-576419 DO - https://doi.org/10.1039/d2ja00264g SN - 0267-9477 VL - 37 IS - 12 SP - 2691 EP - 2700 PB - Royal Society of Chemistry AN - OPUS4-57641 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Raab, A. A1 - Solovyev, N. A1 - El-Kathib, Ahmed A1 - Vogl, Jochen A1 - Costas-Rodriguez, M. T1 - Isotope signature of iron, copper and zinc in mouse models (L66 and 5XFAD) and their controls used for dementia research N2 - Introduction: The influence of copper, iron and zinc concentrations on the formation of ß-amyloid plaques and neurofibrillary tangles in Alzheimer’s disease (AD) is widely discussed in the community. The results from human and animal studies so far are mixed with some studies showing a correlation and others not. From a number of studies, it is known that disease state and isotopic composition of essential elements can be coupled. Aim: The aim of the study was to identify changes in element content and isotopic composition in two transgenic mouse models used in AD research compared to their genetic WT relatives and to establish whether element content and isotopic signature between different laboratories is comparable. Methods: ß-amyloid (5xFAD) and tau overexpressing (L66) mice together with their matching wild-types were bred at dedicated facilities in accordance with the European Communities Council Directive (63/2010/EU). Serum and brain were sampled after sacrifice and the samples distributed among the participants of the study. The tissues were acid digested for total element determination and high-precision isotope ratio determination. Element content was determined by either sector-field or quadrupole-based inductively coupled plasma mass spectrometry (ICPMS). For the determination of isotope ratios multi-collector ICPMS was used. Results: Total copper content was significantly higher for L66 and their matched WT compared to 5xFAD and WT. Brains of L66 mice contained more Fe in brain than their WT, Zn and Cu were not significantly different between L66 and WT. Whereas 5xFAD mice had a slightly lower Cu and slightly higher Zn concentration in brain compared to WT. The isotopic signature in brain of L66 mice for Fe was different from their controls, whereas Zn isotope ratios were influenced in 5xFAD mice compared to their WT . The Cu isotopic ratio did not seem to be influenced in either strain. In serum, the shifts were less pronounced. Conclusion: Even though neither Tau-protein nor amyloid precursor protein are known to be metal-dependent / -containing proteins, the overexpression of both influences the Fe, Cu and Zn metabolism in brain and to some extent also in serum as can be seen not only using total element determination but probably more clearly studying the isotopic signature of Fe, Cu and Zn. T2 - International Conference of Trace Elements and Minerals CY - Aachen, Germany DA - 05.06.2022 KW - Isotope delta value KW - Copper KW - Zinc KW - Iron KW - Dementia PY - 2022 AN - OPUS4-58230 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -