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In the second part of this two-part series on the state-of-the-art comparability of corrected emission spectra, we have extended this assessment to the broader community of fluorescence spectroscopists by involving 12 field laboratories that were randomly selected on the basis of their fluorescence measuring equipment. These laboratories performed a reference material (RM)-based fluorometer calibration with commercially available spectral fluorescence standards following a standard operating procedure that involved routine measurement conditions and the data evaluation software LINKCORR developed and provided by the Federal Institute for Materials Research and Testing (BAM). This instrument-specific emission correction curve was subsequently used for the determination of the corrected emission spectra of three test dyes, X, QS, and Y, revealing an average accuracy of 6.8% for the corrected emission spectra. This compares well with the relative standard uncertainties of 4.2% for physical standard-based spectral corrections demonstrated in the first part of this study (previous paper in this issue) involving an international group of four expert laboratories. The excellent comparability of the measurements of the field laboratories also demonstrates the effectiveness of RM-based correction procedures.
The development of fluorescence applications in the life and material sciences has proceeded largely without sufficient concern for the measurement uncertainties related to the characterization of fluorescence instruments. In this first part of a two-part series on the state-of-the-art comparability of corrected emission spectra, four National Metrology Institutes active in high-precision steady-state fluorometry performed a first comparison of fluorescence measurement capabilities by evaluating physical transfer standard (PTS)-based and reference material (RM)-based calibration methods. To identify achievable comparability and sources of error in instrument calibration, the emission spectra of three test dyes in the wavelength region from 300 to 770 nm were corrected and compared using both calibration methods. The results, obtained for typical spectrofluorometric (0°/90° transmitting) and colorimetric (45°/0° front-face) measurement geometries, demonstrated a comparability of corrected emission spectra within a relative standard uncertainty of 4.2% for PTS- and 2.4% for RM-based spectral correction when measurements and calibrations were performed under identical conditions. Moreover, the emission spectra of RMs F001 to F005, certified by BAM, Federal Institute for Materials Research and Testing, were confirmed. These RMs were subsequently used for the assessment of the comparability of RM-based corrected emission spectra of field laboratories using common commercial spectrofluorometers and routine measurement conditions in part 2 of this series (subsequent paper in this issue).
Immunologische Verfahren haben während der vergangenen Jahrzehnte eine große Verbreitung in der Medizin gefunden. Grundlage dieser Verfahren ist die spezifische Bindung zwischen Antigen und Antikörper. Eine der wichtigsten Methoden zum sensitiven und quantitativen Nachweis biologisch relevanter Moleküle ist hierbei der Enzyme Linked Immunosorbent Assay (ELISA).
Unter dem Aspekt der zahlreichen Einsatzgebiete ist die Frage nach Messunsicherheiten bei der Konzentrationsbestimmung von Biomolekülen mittels ELISA aus metrologischer Sicht von großem Interesse. Eine erhebliche Herausforderung stellt hierbei die Vielzahl von Einflussgrößen dar, die zudem hinsichtlich ihrer Messunsicherheit nur schwer zu quantifizieren sind. In Hinblick auf den Einsatz der Assays im Bereich der Laboratoriumsmedizin besteht die Notwendigkeit, Genauigkeit und Zuverlässigkeit dieser Messverfahren zu validieren. Zu diesem Zwecke wurden im Rahmen einer CCQM-Studie (CCQM- Comité consultatif pour la quantité de matiè re - métrologie en chimie ) internationale Vergleichsmessungen an einem ELISA zur Zytokinbestimmung (humanes Interferon-a) durchgeführt, an denen sich die PTB beteiligt hat.
Dieses Strategiepapier zielt darauf ab, Akteuren und Entscheidungsträgern den Status der Digitalisierung in der keramischen Fertigung, erfolgreiche Best-Practice-Beispiele aber auch die Herausforderungen nahezubringen, die es nun anzugehen gilt. Es ist die Vision, die Keramikfertigung durchgehend zu digitalisieren und alle Schritte des Produktkreislaufs lückenlos über die gesamte Wertschöpfungs- und Nutzungskette zu vernetzen: also eine Keramikindustrie 4.0 zu etablieren. Das Strategiepapier erfasst zunächst die Spezifität der keramischen Fertigung und nimmt eine Analyse des gegenwärtigen Standes der Digitalisierung in der keramischen Industrie vor, auch anhand einiger ausgewählter Beispiele aus der industriellen Praxis. Auf Basis der wesentlichen Bausteine für eine Fertigungsdigitalisierung werden schließlich die Chancen für Keramikproduzenten sowie der erforderliche Forschungs- und Entwicklungsbedarf aufgezeigt.
Lithium-ion batteries are a key technology to achieve the goals of limiting climate change due to the important role as traction technology for Electric Vehicles and in stationary energy storage systems. Over(dis) charge, mechanical damage due to accidents or thermal abuse such as fires can initiate an accelerated self-heating process of the batteries, called thermal runaway. A thermal runaway can propagate from cell to cell within a larger assembly of cells such as modules or battery packs and can cause rapid heat and toxic gas emissions. The resulting battery fire can spread to adjacent facilities, e.g. other cars in underground car parks or to a whole building in case of a large stationary energy storage.
For proof of fire protection requirements or to design suitable fire protection systems, Computational Fluid Dynamic (CFD) simulations are getting more and more important. The aim of CFD fire simulations is to predict the global hazards of a fire to its surroundings, that is mainly characterized by the release of heat and smoke and its spread in the fire environment. There are many numerical investigations of lithium-ion batteries in the literature. One class of models is used to simulate the charge and discharge process of lithium-ion batteries and to predict the temperature or voltage evolution inside the battery. On the other hand, there are models describing batteries under abuse conditions to predict the consequences of a thermal runaway event to the local environment, like the temperatures inside a battery or at the battery surface. Henriksen et al. use a generic battery gas mixture to simulate an explosion of vented gases from a Lithium Iron Phosphate battery and compare experimental results for the explosion pressure and the position of the flame front to the outcomes of a simulation with Xifoam. Larsson et al. used a combination of CFD simulations with FDS and thermal model with COMSOL to predict the temperature development of neighboring cells in a thermal runaway propagation. Truchot et al. use a design Heat Release Rate (HRR) curve for a battery based on experimental measurements to build up an overall HRR curve for a truck loaded with 100 lithium-ion batteries. This summed up HRR and corresponding smoke production curve is then used as an input for a simulation of a truck fire in a tunnel with Fire Dynamics Simulator (FDS). The pre-definition of the HRR curve is a frequently used method in fire engineering. It has the disadvantage, that the heat release cannot be influenced by physical processes, such as changed ventilation conditions or extinguishing measures. In this paper, a model is presented that determines the release of heat and gases based on the thermal runaway mechanisms of the battery, which can be used in CFD fire simulations with focus on prediction of fire hazards to nearby environment.