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Organisationseinheit der BAM
In the field of animal species differentiation, work on standardizing methods has been intensified in Germany in recent years, not least due to the horsemeat scandal in 2013. Even though there are now hardly ever any positive findings anymore in examinations to detect horse adulterations in foods such as lasagne, animal species differentiation altogether ranks high in detecting adulteration of foods. This article, therefore, summarises the current status of analytical techniques used in Germany with standardization at German level. It has been established by the working group "Biochemical and Molecular Biological Analytics" of the Lebensmittelchemische Gesellschaft (Food Chemistry Society within the German Chemical Society) with support of experts in the working group “Molecular biology techniques for differentiating plant and animal species" (§64 of the German Food and Feed Code - LFGB) and the "Immunology and molecular biology" task force of the food hygiene and food of animal origin working group (ALTS), both from Germany.
Nicht zuletzt bedingt durch den Pferdefleischskandal im Jahr 2013 wurden in Deutschland die Aktivitäten bei der Methodenstandardisierung im Bereich der Tierarten-Differenzierung in den vergangenen Jahren intensiviert. Wenn auch positive Befunde bei dem Nachweis von Bestandteilen aus Pferd in Lebensmitteln wie Lasagne derzeit so gut wie nicht mehr anzutreffen sind, so hat die Tierartendifferenzierung insgesamt beim Nachweis von Verfälschungen in Lebensmitteln einen hohen Stellenwert.
Diese Arbeit fasst daher den aktuellen Stand der Analytik in Deutschland mit Schwerpunkt bei der Standardisierung zusammen. Sie wurde erstellt durch die Arbeitsgruppe „Biochemische und molekularbiologische Analytik“ der Lebensmittelchemischen Gesellschaft mit Unterstützung von Experten der Arbeitsgruppe „Molekularbiologische Methoden zur Pflanzen- und Tierartendifferenzierung“ (§ 64 LFGB) sowie der ALTS-Arbeitsgruppe „Immunologie und Molekularbiologie“ (jeweils D).
Work on standardising methods in the field of animal species differentiation has been intensified in Germany in recent years, not least due to the horsemeat scandal in 2013. Even though there are now hardly ever any positive findings any more in examinations to detect horse adulterations in foods such as lasagne, animal species differentiation altogether ranks high in detecting adulteration of foods. This article therefore summarises the current status of analytical techniques used in Germany with standardisation at German level. It has been established by the working group “Biochemical and Molecular Biological Analytics” of the Lebensmittelchemische Gesellschaft (Food Chemistry Society within the German Chemical Society) with support of experts in the working group “Molecular biology techniques for differentiating plant and animal species” (§ 64 of the German Food and Feed Code – LFGB) and the “Immunology and molecular biology” task force of the food hygiene and Food of animal origin working group (ALTS), both from Germany.
To start the large-scale deployment of offshore wind in German waters, the German Federal Ministry for the Environment (BMU) supports the offshore test site "alpha ventus" in the North Sea with a research budget of about 50 million Euro in the next years. The overall objective of the research is to reduce the costs of offshore wind energy deployment in deep water. In order to provide all participating research projects with detailed data, the test site will be equipped with extensive measurement instrumentation.
This research initiative was named RAVE Research at Alpha VEntus and consists of a variety of projects in connection with the installation and operation of alpha ventus. As part of the RAVE initiative, so far the participating institutes and companies have prepared projects on the following topics:
Realization of the joint measurements and data management
Analysis of loads, modelling and further development of the different components of offshore wind turbines
Loads at offshore foundations and structures
Further development of LIDAR wind measuring techniques
Grid integration of offshore wind energy
Monitoring of the offshore wind energy deployment in Germany "Offshore WMEP"
Measurement of the operating noises and modelling of the sound propagation between tower and water
Ecologic research
Mn0.75Ga0.25As crystallites, partially embedded on and fully embedded within a single crystalline matrix of GaAs formed during metal organic vapor phase epitaxy (MOVPE) of Mn-rich (Mn,Ga)As on (001) oriented GaAs wafers. Phase and orientation analysis of these crystallites were performed with scanning nano beam electron diffraction (SNBED). The investigation of plan-view specimens using a liquid nitrogen cooling stage enabled the phase and orientation analysis of partially embedded ferromagnetic a-phase particles. In all specimens the following two orientation relationships (O) between the a-phase particles and the GaAs matrix were determined:
O1:
[1-2.0] Mn0.75Ga0.25As || [110] GaAs and
[10.2] Mn0.75Ga0.25As || [-110] GaAs
O2:
[10.2] Mn0.75Ga0.25As || [110] GaAs and
[1-2.0] Mn0.75Ga0.25As || [-110] GaAs.
The study of cross-sectional specimens enabled the analysis of fully embedded crystallites. It could be unambiguously detected that a fully embedded crystallite has the structure of the atomically ordered monoclinic β' phase. The β' phase crystallite consists of two domains which are related in twin positions to each other. The orientation relations of the different particles are illustrated by color coded stereographic projections.
Metal organic vapor phase epitaxy (MOVPE) of Mn-rich (Mn,Ga)As on (001) oriented GaAs wafers resulted in atomically ordered (Mn,Ga)As crystallites of two morphological kinds, partially embedded on the wafer surface and fully embedded within the single crystalline matrix. While the former were apparently free of defects (other than unavoidable point defects), the latter contained two domains separated by a grain boundary. Since atomic ordering can be modeled by space group symmetry descent considerations (Bärnighausen trees) that start with the space group of the known crystallographic phases of random (Mn,Ga)As alloys with specified chemical compositions, reasonable structure hypotheses have been derived for two atomically ordered Mn0.75Ga0.25As phases that we call the trigonal α' and the monoclinic β' phases. The implications of these structure hypotheses are in agreement with the results of a range of scanning transmission electron microscopy (STEM) and parallel illumination electron diffraction (ED) studies that include quantitative energy dispersive X-ray spectroscopy, X-ray spectroscopic imaging, as well nanobeam diffraction and high angle precession ED. The coexistence of two domains within the fully embedded crystallites is predicted by the corresponding Bärnighausen tree and observed experimentally for the fully embedded crystallites.
To set up recommendations on how to define “reasonable minimum composition thresholds” for CO2 streams to access CO2 pipeline networks, we investigated potential impacts of CO2 streams with different and temporally variable compositions and mass flow rates along the CCS chain. All investigations were based on a generic “CCS cluster scenario” in which CO2 streams captured from a spatial cluster of eleven emitters (seven fossil-fired power plants, two cement plants, one refinery and one steel mill) are collected in a regional pipeline network. The resulting CO2 stream (19.78 Mio t impure CO2 per year) is transported in a trunk line (onshore and offshore) and injected into five generic replicate storage structures (Buntsandstein saline aquifers) offshore. Experimental investigations and modeling of selected impacts revealed beneficial as well as adverse impacts of different impurities and their combinations. Overall, no fundamental technical obstacles for transporting, injecting and storing CO2 streams of the considered variable compositions and mass flow rates were observed. We recommend to define minimum composition thresholds for each specific CCS project through limiting
i) the overall CO2 content,
ii) maximum contents of relevant impurities or elements,
iii) acceptable variability of concentrations of critical impurities, and defining impurity combinations to be avoided.