TY - CONF A1 - Röthke, A. T1 - As good as or even better than ID-ICP-MS? High accuracy ICP OES determination of 1 g/kg mercury solutions N2 - To establish the SI traceability of the element content w(Hg) of a gravimetrically prepared 1 g/kg mercury solution, the latter was compared to a primary reference solution by means of high accuracy inductively coupled plasma optical emission spectrometry (ICP OES) measurements. For this purpose, the ICP OES bracketing method previously described [1] was improved to yield a relative expanded uncertainty of the mercury element content of Urel(w(Hg)) = 0.5 % (with k = 2) associated with the comparison of two monoelemental solutions. In case of mercury, such a small uncertainty was achieved for the first time. Before, in general, such small uncertainties were only reported applying isotope dilution methods performed with MC-ICP-MS. However, for mercury solutions at this concentration range, several dilution steps are necessary to prepare the samples for ID-MC-ICP-MS. The sum of the uncertainty contributions stemming from the dilution steps, as well as the intrinsic difficulties of measuring mercury at low concentrations, result in an overall uncertainty of the ICP-MS measurements, which is comparable to or even larger than those, achieved with the ICP OES method applied. We will present details of the sample preparation as well as of the dedicated ICP OES measurement approach, which were crucial to achieve such a small measurement uncertainty. The newly developed method was successfully applied in the context of the development and production of elemental solution chemical reference standards (CRS), which are distributed by the EDQM. The CRS are intended to support measurements required by the European Pharmacopoeia, which has recently incorporated a new international guideline for the control of elemental impurities in medicinal products. T2 - ICP-MS Anwendertreffen CY - Berlin, Germany DA - 03.09.2018 KW - Traceability KW - Mercury solution PY - 2018 AN - OPUS4-46218 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Despinasse, Marie-Claire T1 - Arylphosphates and phosphazene flame retardants in Polycarbonate / Acrylonitrile-Butadiene-Styrene blends T2 - 13th European Meeting on Fire Retardant Polymers, FRPM CY - Alessandria, Italy DA - 2011-06-26 PY - 2011 AN - OPUS4-24068 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bellon, Carsten T1 - Artistlib - remote control the radiographic simulator aRTist from Python N2 - The software aRTist is a simulation tool for the generation of realistic radiographs of virtual radiographic superstructures. With radiographic simulations, virtual component models can be scanned as in a computed-tomography scanner. In modern radiography, simulation has become an important tool to minimize cost- and time-intensive measurements. It is increasingly used to optimize techniques for complex applications, to support the method developments, and for educational purposes. With Artistlib, we have started the development of a programming interface to support use cases where the interactive use of the graphical user interface is not suitable. The open-source Python library is intended to remote control and automate the radiographic simulator aRTist. T2 - 10th International Symposium on Digital Industrial Radiography and Computed Tomography (DIR 2025) CY - Paris, France DA - 01.07.2025 KW - Computed Tomography KW - Numerical Simulation PY - 2025 AN - OPUS4-63703 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bellon, Carsten T1 - aRTist – An Industrial-Radiology Simulator Using Tcl/Tk & VTK N2 - Industrial radiography or Radiographic Testing (RT) is a method of non-destructive testing where many types of manufactured components can be examined to verify the internal structure and integrity of the specimen. The computer program aRTist can generate synthetic radiographs from a virtual RT test set-up. In the field of industrial radiology simulation is used, e.g. to optimize techniques for complex applications, to support the preparation of written procedures, and for education purposes. The simulator aRTist combines analytical and Monte Carlo methods to efficiently model the radiation transport. The program comes with a graphical user interface written in Tcl/Tk. In combination of Tcl/Tk and the 3D capabilities of the visualization toolkit (VTK) a practical and convenient simulator has been realized. This will be illustrated by discussing application scenarios of classical radiography, X-ray computer tomography, and X-ray backscatter imaging. Additionally, some insight to the software implementation of the simulator will be given. T2 - EuroTCL 2017, 15th European Tcl/Tk User Meeting CY - Berlin, Germany DA - 08.07.2017 KW - Simulation KW - Radiography KW - Computed tomography PY - 2017 AN - OPUS4-43153 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Jaenisch, Gerd-Rüdiger T1 - aRTist - radiographic simulation for industrial application T2 - 6th International Exhibition and Conference for Non-Destructive Testing and Technical Diagnostics CY - Moscow, Russia DA - 2007-05-15 PY - 2007 AN - OPUS4-14827 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Jaenisch, Gerd-Rüdiger T1 - aRTist - analytical RT inspection simulation tool for industrial application T2 - 17. WCNDT (World Conference on NDT) CY - Shanghai, China DA - 2008-10-25 PY - 2008 AN - OPUS4-18150 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Jaenisch, Gerd-Rüdiger T1 - aRTist - analytical RT inspection simulation tool T2 - 45th Annual British Conference on NDT CY - Stratford-upon-Avon, England DA - 2006-09-12 PY - 2006 AN - OPUS4-13979 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bellon, Carsten T1 - aRTist - analytical RT inspection simulation tool T2 - International Symposium on Digital Industrial Radiology and Computed Tomography DIR 2007 CY - Lyon, France DA - 2007-06-25 PY - 2007 AN - OPUS4-15473 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Wachtendorf, Volker T1 - Artificial weathering including acidic deposition T2 - 3rd European Weathering Symposium CY - Kraków, Poland DA - 2007-09-12 PY - 2007 AN - OPUS4-15907 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Lauer, Franziska T1 - Artificial pollen grain mixtures analyzed with multivariate MALDI-TOF MS imaging N2 - Anemophilous plants produce pollen grains, which have to be monitored to provide an information network for persons suffering from an allergy. The current conventional characterization and identification of pollen is performed by time-consuming microscopic examinations on the basis of the genus-specific pollen shape and size. These examinations are in need of proficient researchers, are not statistically validated, and additionally rely on relatively inaccurate observations of the pollination process. A variety of new analytical approaches have been proposed in order to develop a fast and reliable pollen identification using specific molecular information. Recently, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was initially applied for the rapid investigation of such complex biological samples. The combination of the obtained patterns of pollen mass spectra and multivariate statistics provide a powerful tool for identifying taxonomic relationships. Here promising results obtained by the reduction and optimization of sample preparation prior to MALDI-TOF MS mapping are presented. Based on a novel application of conductive carbon tape as target, the signal information of the species-specific mass peak patterns of pollen was enhanced. This leads to a clear separation in a subsequent pattern analysis, which is important when analyzing pollen grains in natural species mixtures. As a proof-of-concept, artificial pollen mixtures were investigated by MALDI imaging and evaluated by innovative multivariate data analysis strategies, to assign individual pollen species in the mixtures. Our results can be used to improve the taxonomic differentiation and identification of pollen species and might be useful for the development of a routine method to identify pollen based on mass spectrometry. T2 - ANAKON 2017 CY - Tübingen, Germany DA - 03.04.2017 KW - Sample pretreatment KW - MALDI-TOF MS KW - HCA and PCA imaging KW - Pollen PY - 2017 AN - OPUS4-39989 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -