TY - CONF A1 - Traub, Heike A1 - Saatz, Jessica A1 - Ascher, Lena A1 - Boyraz, B. A1 - Hahndorf, J. A1 - Schnorr, J. A1 - Schellenberger, E. A1 - Tauber, R. T1 - Unraveling the interaction of MRI contrast agents with tissue using LA ICP MS N2 - Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is increasingly used to study the distribution of metal-containing drugs, imaging probes and nanomaterials in connection with disease related changes and therapy progress. Additionally, biomolecules can be detected indirectly by using metal-tagged antibodies. The extracellular matrix (ECM) is, besides the cells, an important component of all body tissues. The macromolecular network of the ECM consists of structural proteins (e.g., collagen, elastin) and proteoglycans composed of highly negatively charged carbohydrates, the glycosaminoglycans (GAGs), which are covalently linked to a protein core. Many diseases, including inflammatory processes and tumors, are associated with characteristic ECM changes at an early stage. Recent studies have shown that contrast agents for magnetic resonance imaging (MRI), which are based on gadolinium containing chelate complexes or iron oxide nanoparticles, can bind themselves to ECM components. To elucidate the role of GAGs like keratan sulfate (KS) and its modification state in disease, highly specific tools are necessary. As a complement to conventional immunohistochemistry LA-ICP-MS was applied to investigate the distribution of KS in tissue thin sections using a well characterized anti-KS antibody labelled with metal ions. Furthermore, LA-ICP-MS was used for the detection of MRI contrast agents and the identification of their target cells and molecules in tissue samples from animal models, e.g. for cardiovascular diseases. The results show the possibilities of LA-ICP-MS for the elucidation of pathological tissue changes. T2 - European Workshop on Laser Ablation (EWLA 2022) CY - Berne, Switzerland DA - 12.07.2022 KW - Laser ablation KW - Imaging KW - ICP-MS KW - Antibody PY - 2022 AN - OPUS4-55315 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Raab, A. A1 - Vogl, Jochen A1 - Solovyev, N. A1 - El-Khatib, Platt A1 - Costas-Rodriguez, M. A1 - Schwab, K. A1 - Griffin, E. A1 - Platt, B. A1 - Theuring, F. A1 - Vanhaecke, F. 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 - The International Conference of Trace Elements and Minerals (ICTEM) 2022 CY - Aachen, Germany DA - 05.06.2022 KW - Isotope ratio KW - Isotope delta value KW - Metrology KW - Alzheimer disease KW - Measurement uncertainty PY - 2022 AN - OPUS4-55204 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schühle, Florian A1 - Richter, Matthias T1 - Bereitstellung qualitätsgesicherter VOC-Aufnahmeraten für axiale Passivsammler N2 - Quality assured uptake rates for passive sampling of indoor air VOCs Passive sampling of VOCs with Tenax® TA and thermal desorption GC-MS analysis is a simple, cost efficient and representative method to determine VOCs concentrations in indoor air. In theory, the uptake into the passive sampler is only dependent on the diffusion coefficient of the analyte in air and the geometry of the sampler (ideal adsorption). For characterization, the uptake rate (UR) is used, defined as the ratio of the uptaken mass and the product of ambient concentration and exposure time. Various reported effective uptake rates (UR,eff) differ considerably from ideal values (UR,id). Literature values in national and international standards, are essentially sorted by the applicable exposure time, while detailed information about the corresponding concentration range is lacking. Moreover the number of itemized substances is limited. The aim of this study was to review and expand this set of uptake rates by determination of own quality assured laboratory values.The determined uptake rates are considered accurate in terms of RSD and comparability to literature values and can be recommended for exposure times of seven days at 50 100 µg/m³ (approximately 100 300 ppm min). Seven day uptake rates in ISO16017 2 and ASTM D6196 are not generally suited for this purpose, as has been exemplarily shown for benzene. N2 - Die passive Probenahme von VOC (Volatile Organic Compounds) mit Tenax® TA und Thermodesorption GC/MS Analytik ist eine einfache, kosteneffiziente und repräsentative Methode zur Bestimmung der VOC-Konzentrationen in der Innenraumluft. In der Theorie ist die Stoffaufnahme in den Passivsammler nur abhängig vom Diffusionskoeffizienten der Substanz in Luft und der Geometrie des Sammlers (ideale Adsorption). Um sie zu charakterisieren, wird die Aufnahmerate (UR), definiert als Quotient der Massenaufnahme und dem Produkt aus Konzentration und Expositionszeit, verwendet. Viele effektive Aufnahmeraten (UR,eff) unterscheiden sich beträchtlich von idealen (theoretischen) Werten (UR,id). Literaturwerte sind in nationalen und internationalen Normen lediglich für bestimmte Expositionszeiten vorgegeben, während detaillierte Informationen über den zugehörigen Konzentrationsbereich fehlen. Außerdem ist die Anzahl der insgesamt in der Literatur beschriebenen Substanzen begrenzt. Das Ziel der vorgestellten Studie ist es diesen Fundus an Aufnahmeraten zu begutachten und zu prüfen und ihn durch die Bestimmung eigener qualitätsgesicherter Laborwerte zu ergänzen. Die bestimmten Aufnahmeraten werden als akkurat bezüglich ihrer relativen Standardabweichung und Vergleichbarkeit zu Literaturwerten betrachtet und können für Expositionszeiten von 7 Tagen bei Konzentrationen von 50 100 µg/m³ (ca. 100 300 ppm min) empfohlen werden. Die Sieben Tage Aufnahmeraten aus ISO16017 2 und ASTM D6196 sind nicht generell für diesen Zweck geeignet, wie exemplarisch für Benzol gezeigt wurde. T2 - Kongress 29. WaBoLu-Innenraumtage CY - Berlin, Germany DA - 24.05.2022 KW - IAQ KW - VOC KW - Passive sampling KW - Uptake rate PY - 2022 SN - 978-3-949241-04-8 AN - OPUS4-55209 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Even, Morgane A1 - Juritsch, Elevtheria A1 - Richter, Matthias T1 - Weiterentwicklung und Validierung eines leistungsfähigen Verfahrens zur Bestimmung von VVOCs aus Bauprodukten und in der Innenraumluft N2 - Mehrere Aspekte wurden im Hinblick auf die Standardisierung eines geeigneten Verfahrens für die Analyse sehr flüchtiger organischer Verbindungen (VVOCs) untersucht. Die Verwendung gasförmiger Standards ist notwendig und es wurde ein stabiles Standardgasgemisch aus 60 Substanzen erfolgreich erzeugt und auf Stabilität und Reaktivität überprüft. Die Eignungsuntersuchung verschiedener Chromatographiesäulen ergab, dass PLOT-Säulen (Porous Layer Open Tubular) für die VVOC-Analytik gut geeignet sind. Für die 60 Analyten wurden Wiederfindungsraten auf mehreren Adsorbenzien und deren Kombinationen bestimmt. Dabei zeigte eine Kombination aus einem graphitierten Ruß und einem Kohlenstoff-Molekularsieb hervorragende Ergebnisse für alle Zielkomponenten. Nachteilig an Kohlenstoff-Molekularsieben ist, dass sie Wasser adsorbieren, was die Analyse beeinträchtigen kann. Zur Wasserentfernung wurden verschiedene Optionen wie das Trockenspülen oder der Einsatz eines Trocknungssystems untersucht. T2 - WaBoLu Innenraumtage CY - Berlin, Germany DA - 24.05.2022 KW - Analytische Methode KW - EN 16516 KW - ISO 16000-6 KW - VVOCs PY - 2022 AN - OPUS4-55281 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - You, Zengchao A1 - Akkus, A. A1 - Weisheit, W. A1 - Recknagel, Sebastian A1 - Abad Andrade, Carlos Enrique T1 - Multi element analysis in soil using nitrogen microwave inductively coupled plasma mass spectrometry (MICAP MS) N2 - Due to the fast growth of industry and the use of metal-containing compounds such as sewage sludge in agricultural fields, soil pollution associated with heavy metals presents a terrifying threat to the environment. Throughout the world, there are already 5 million sites of soil contaminated by heavy metals1. Some heavy metals pollutants can influence food chain safety and food quality, which in turn affects human health. According to the German Federal Soil Protection and Contaminated Site Ordinance (BBodSchV) 13 heavy metals such as arsenic (As), lead (Pb) and cadmium (Cd) are classified as heavily toxic to human health2. Therefore, elemental analysis and precise quantification of the heavy metals in soil are of great importance. Inductively coupled plasma mass spectrometry (ICP-MS) emerged as a powerful technique for trace analysis of soil due to its multi-element capability, high sensitivity and low sample consumption. However, despite its success and widespread use, ICP-MS has several persistent drawbacks, such as high argon gas consumption, argon-based polyatomic interferences and the need for complicated RF-power generators. Unlike argon-based ICP, the nitrogen microwave inductively coupled atmospheric pressure mass spectrometry (MICAP-MS) uses nitrogen as plasma gas, which eliminates high operating costs associated with argon-gas consumption as well as the argon-based interferences3. For the first time, the applicability of MICAP-MS for elemental analysis of environmental soils is investigated in this work. For this purpose, 7 reference- and 3 random soil samples containing vanadium (V), cobalt (Co), zink (Zn), copper (Cu), chrome (Cr), mercury (Hg), As, Pb and Cd are digested with aqua regia and used for analysis. Concentrations of selected elements are determined using MICAP-MS and validated using ICP-MS. Sensitivities, limits of detection and gas consumption for both methods are compared and discussed in detail. Moreover, the performance of MICAP-MS under different nitrogen plasma gas concentrations is investigated and compared T2 - Spectroscopium Colloquium CY - Gijon, Spain DA - 30.05.2022 KW - Microwave inductively coupled atmospheric pressure mass spectrometry (MICAP-MS) KW - Multi-element analysis KW - Soil KW - Nitrogen plasma PY - 2022 AN - OPUS4-55181 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - You, Zengchao A1 - Akkus, A. A1 - Weisheit, W. A1 - Recknagel, Sebastian A1 - Abad Andrade, Carlos Enrique T1 - Multi element analysis in soil using nitrogen microwave inductively coupled plasma mass spectrometry (MICAP MS) N2 - Due to the fast growth of industry and the use of metal-containing compounds such as sewage sludge in agricultural fields, soil pollution associated with heavy metals presents a terrifying threat to the environment. Throughout the world, there are already 5 million sites of soil contaminated by heavy metals1. Some heavy metals pollutants can influence food chain safety and food quality, which in turn affects human health. According to the German Federal Soil Protection and Contaminated Site Ordinance (BBodSchV) 13 heavy metals such as arsenic (As), lead (Pb) and cadmium (Cd) are classified as heavily toxic to human health2. Therefore, elemental analysis and precise quantification of the heavy metals in soil are of great importance. Inductively coupled plasma mass spectrometry (ICP-MS) emerged as a powerful technique for trace analysis of soil due to its multi-element capability, high sensitivity and low sample consumption. However, despite its success and widespread use, ICP-MS has several persistent drawbacks, such as high argon gas consumption, argon-based polyatomic interferences and the need for complicated RF-power generators. Unlike argon-based ICP, the nitrogen microwave inductively coupled atmospheric pressure mass spectrometry (MICAP-MS) uses nitrogen as plasma gas, which eliminates high operating costs associated with argon-gas consumption as well as the argon-based interferences3. For the first time, the applicability of MICAP-MS for elemental analysis of environmental soils is investigated in this work. For this purpose, 7 reference- and 3 random soil samples containing vanadium (V), cobalt (Co), zink (Zn), copper (Cu), chrome (Cr), mercury (Hg), As, Pb and Cd are digested with aqua regia and used for analysis. Concentrations of selected elements are determined using MICAP-MS and validated using ICP-MS. Sensitivities, limits of detection and gas consumption for both methods are compared and discussed in detail. Moreover, the performance of MICAP-MS under different nitrogen plasma gas concentrations is investigated and compared. T2 - BAM Adlershofer Kolloquium CY - Online meeting DA - 21.06.2022 KW - Microwave inductively coupled atmospheric pressure mass spectrometry (MICAP-MS) KW - Multi-element analysis KW - Soil KW - Nitrogen plasma PY - 2022 AN - OPUS4-55182 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael A1 - Meyer, Klas A1 - Kern, S. A1 - Guhl, Svetlana A1 - Bornemann-Pfeiffer, Martin A1 - Wander, L. T1 - Modular process control with compact NMR spectroscopy – From Field Integration to Automated Data Analysis N2 - Chemical and pharmaceutical companies have to find new paths to survive successfully in a changing environment, while also finding more flexible ways of product and process development to bring their products to market more quickly – especially high-quality high-end products like fine chemicals or pharmaceuticals. A current approach uses flexible and modular chemical production units, which can produce different high-quality products using multi-purpose equipment with short downtimes between campaigns and reduce the time to market of new products. NMR spectroscopy appeared as excellent online analytical tool and allowed a modular data analysis approach, which even served as reliable reference method for further Process Analytical Technology (PAT) applications. Using the available datasets, a second data analysis approach based on artificial neural networks (ANN) was evaluated. Therefore, amount of data was augmented to be sufficient for training. The results show comparable performance, while improving the calculation time tremendously. In future, such fully integrated and interconnecting “smart” systems and processes can increase the efficiency of the production of specialty chemicals and pharmaceuticals. At the end of the article, ideas for solutions are discussed in order to speed up the implementation of new special products from the point of view of process analytics and to network the existing process chains more closely. T2 - PATriCK 2022 – Merck conference on PAT technology CY - Darmstadt, Germany DA - 19.10.2022 KW - Process Analytical Technology KW - Digitalisation KW - Process Industry KW - Online NMR Spectroscopy KW - Modular Production PY - 2022 AN - OPUS4-56089 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael A1 - Meyer, Klas A1 - Bornemann-Pfeiffer, Martin A1 - Guhl, Svetlana A1 - Wander, L. A1 - Kern, S. T1 - Integrierte und vernetzte Systeme und Prozesse – Eine Perspektive für die smarte Laborinfrastruktur N2 - Chemie- und Pharmaunternehmen müssen neue Wege gehen, um in einem sich wandelnden Umfeld erfolgreich zu überleben, und gleichzeitig flexiblere Wege der Produkt- und Prozessentwicklung finden, um ihre Produkte schneller auf den Markt zu bringen - vor allem hochwertige High-End-Produkte wie Feinchemikalien oder Arzneimittel. Dazu gehört auch das Potenzial der digitalen Technologien, um ein umfassenderes Wissensmanagement zu ermöglichen. Eine wichtige Wissensquelle sind analytische Labors, die Unternehmensweit aktiv sind – von F&E bis zur Produktion. Die ganzheitliche Einbindung von analytischen Labors und ein unternehmensweites Daten- und Wissensmanagement sind wichtige Bausteine zur Integration und Vernetzung aller Systeme und Prozesse. Das Potenzial von Daten aus der Produktion mit ihren Kontextinformationen wird heute oft noch nicht konsequent für ein umfassendes Verständnis der Produktion genutzt. Dieser Beitrag skizziert anhand von Beispielen einen möglichen ganzheitlicheren Ansatz zur Digitalisierung und zum Einsatz maschineller Verfahren in der Produktion von Spezialchemikalien und Pharmazeutika durch die Einführung integrierter und vernetzter Systeme und Prozesse. T2 - 6. Analytik-Tag des Institut für Energie- und Umwelttechnik e.V. (IUTA) CY - Duisburg, Germany DA - 10.11.2022 KW - Prozessindustrie KW - Online-NMR-Spektroskopie KW - Prozessanalytik KW - Digitalisierung KW - Datenauswertung KW - IUTA PY - 2022 AN - OPUS4-56226 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Winckelmann, Alexander T1 - Why do I have to charge my phone twice a day? N2 - Aging Mechanisms of Lithium Batteries: How can we make batteries more durable and more sustainable in the future? Lithium batteries are particularly susceptible to ageing processes. During each charging and discharging process in an electric battery, lithium ions are deposited in the electrodes of the cell like in the pores of a sponge. Over time, however, fractures and cracks occur in the filigree structures. The result: more and more lithium ions no longer fit into the hollow spaces of the „sponge“, instead they accumulate in heaps around the electrodes and hinder the movement of other ions. The performance of the battery decreases. We present our new project, in which we are developing a fast and cost-effective method with which companies that produce lithium batteries can already assess the ageing behaviour of their batteries in the laboratory. T2 - Berlin Science Week 2022 CY - Online meeting DA - 10.11.2022 KW - Lithium Ion Batteries KW - Aging Mechanisms PY - 2022 UR - https://berlinscienceweek.com/de/event/why-do-i-have-to-charge-my-phone-twice-a-day/ UR - https://www.youtube.com/watch?v=bF7bQTY49rQ AN - OPUS4-56245 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Radtke, Martin A1 - Cakir, Cafer Tufan T1 - Big to Small - Getting Smarter@BAMline N2 - In this talk an overview about artificial intelligence/machine learning applications @BAMline is given. In the first part, the use of neural networks for the quantification of XRF measurements and the decoding of coded-aperture measurements are shown. Then it is shown how Gaussian processes and Bayesian statistics can be used to achieve an optimal alignment of the set-up and in general for optimization of measurements. T2 - Forschungsseminar Institut für Optik und Atomare Physik TU Berlin CY - Berlin, Germany DA - 25.10.2022 KW - Artificial Inelligence KW - Machine Learning KW - Bayesian Statistics KW - Gaussian process KW - Neural network KW - BAMline KW - Synchrotron PY - 2022 AN - OPUS4-56249 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -