A Rapid Screening Method for the Tremorgenic Indole-Diterpene Alkaloid Mycotoxin Paxilline in Beer

The tremorgenic paxilline (PAX), an indole-diterpene alkaloid mycotoxin, was recently detected as a natural contaminant of ergot of barley and rye. To check the possibility of a transfer of this mycotoxin into beer, a rapid and sensitive immunochemical method for the analysis of PAX in commercial bottled beer was developed. A straightforward sample preparation procedure could be established, including degassing, pH adjustment, optional filtering, and finally a 1:5 dilution with a methanolic phosphate-buffered saline solution. Analysis of PAX was performed by a competitive indirect enzyme immunoassay (EIA). The detection limit at a cut-off value of 80% B/B₀ of the EIA standard curve was evaluated by analysis of spiked beer. PAX at levels of 3 μg/L and 5 μg/L yielded 69% and 100% positive results, therefore the detection limit in beer was at 5 μg/L. Recoveries of PAX at levels of 5–20 μg/L were 88–97%, coefficients of variation were 17–22%. With these characteristics, the EIA was considered to be a suitable screening method for PAX in beer. A survey of bottled beer from the German market was conducted which included 38 samples of domestic and international brands, the latter containing various flavoring ingredients. All samples were clearly negative for PAX, which indicates that this toxin is not a relevant contaminant in beer.     

Microbiological and mycotoxicological analyses of processed cereal-based complementary foods for infants and young children from the German market

This study investigated several food safety criteria in 38 different commercial products of processed cereal-based foods (PCF) from the German market. Microbiological assessment, followed by 16S RNA gene sequencing of suspect colonies, included aerobic mesophilic bacteria, moulds, Enterobacteriaceae, Cronobacter spp., and presumptive Bacillus cereus. Mycotoxin analyses were performed by enzyme immunoassays for deoxynivalenol (DON), zearalenone (ZEN), T-2/HT-2 toxins (T-2/HT-2; oat containing products only), ergot alkaloids (EA), and alternariol (AOH). No violative result above existing European Union regulations or international guidelines was obtained. Most samples had very low aerobic mesophilic cell counts (<2.0 × 10¹ CFU/g), the maximum was 9.6 × 10² CFU/g. A few samples contained low numbers of opportunistic pathogens, most notably Cronobacter sakazakii, Acinetobacter spp., Pantoea spp., and enterotoxigenic Bacillus wiedmannii. Levels of mycotoxin contamination were very low, well below European Union maximum limits. DON was found in 10 samples, at levels of 9–35 µg/kg. T-2/HT-2 were found in all 15 oat-based products (1–8 µg/kg). All samples were negative for ZEN and EA. A high number (n = 25) of samples yielded weakly positive results for the nonregulated AOH (0.4–2 µg/kg), but just three samples exceeded a level of 1 µg/kg. No relationship between cereal composition and analytical findings for microbiological parameters and mycotoxins could be found. As long as PCF meals are freshly prepared and consumed immediately after preparation, the risk from sporadically occurring opportunistic bacteria appears to be minimal.     

Multi Criteria Analysis for bioenergy systems assessments

Sustainable bioenergy systems are, by definition, embedded in social, economic, and environmental contexts and depend on support of many stakeholders with different perspectives. The resulting complexity constitutes a major barrier to the implementation of bioenergy projects. The goal of this paper is to evaluate the potential of Multi Criteria Analysis (MCA) to facilitate the design and implementation of sustainable bioenergy projects. Four MCA tools (Super Decisions, DecideIT, Decision Lab, NAIADE) are reviewed for their suitability to assess sustainability of bioenergy systems with a special focus on multi-stakeholder inclusion. The MCA tools are applied using data from a multi-stakeholder bioenergy case study in Uganda. Although contributing to only a part of a comprehensive decision process, MCA can assist in overcoming implementation barriers by (i) structuring the problem, (ii) assisting in the identification of the least robust and/or most uncertain components in bioenergy systems and (iii) integrating stakeholders into the decision process. Applying the four MCA tools to a Ugandan case study resulted in a large variability in outcomes. However, social criteria were consistently identified by all tools as being decisive in making a bioelectricity project viable.     

A refrigeration plant with 300 W capacity at 1.8 K

An industrial-scale helium II refrigeration plant operating at 1.8 K with a low specific energy consumption (436 kW_el for 370 W effective refrigeration) was built to cool superconducting components of particle accelerators and separators. The performance, process, control system, and important aggregates are described; the plant is compared with similar plants built previously.     

Reproducibility of continuous arterial spin labeling perfusion MRI after 7 weeks

Background Continuous arterial spin labeling (CASL) is a non-invasive technique for the measurement of cerebral blood flow (CBF). The aim of the present study was to examine the reproducibility of CASL measurements and its suitability to consistently detect differences between groups, regions, and resting states. Materials and methods Thirty-eight healthy subjects (19 female) were examined at 1.5 T on two measurement occasions that were seven weeks apart. Resting CBF was measured with eyes open and eyes closed. Results In different regions of interest (ROIs) the repeatability estimates varied between 9 and 19 ml/100 g/min. There were no significant mean differences between occasions in all ROIs (P > 0.05). Greater CBF in the eyes-open than in the eyes-closed state was consistently present in the primary and secondary visual areas. Furthermore, CBF was consistently greater in the right than in the left hemisphere (P < 0.05) and differed between lobes and between arterial territories (P < 0.001). Finally, we consistently observed greater CBF in women than in men (P < 0.001). Conclusion This study demonstrates the suitability of CASL to consistently detect differences between groups, regions, and resting states even after seven weeks. This emphasizes its usefulness for longitudinal designs.     

Comparison of airborne lidar,aerial photography,and field surveys to model the habitat suitability of a cryptic forest species – the hazel grouse

Light detection and ranging (lidar) is a useful tool for measuring three-dimensional habitat structure; hence, its use in habitat suitability models has been explored, both as a single resource and in combination with other remote-sensing techniques. Here, we evaluated the suitability of airborne lidar data in comparison with aerial photographs and field surveys for modelling the distribution of an endangered and cryptic forest species, the hazel grouse (Bonasa bonasia). The study was conducted in the Bavarian Forest National Park of southeast Germany. Subsequently, a prediction map for conservation planning was generated for a large area, which encompassed the National Park. We examined the utility of lidar data for generating a hazel grouse distribution model by using machine learning (boosted regression trees), and then compared the results to variables derived from field surveys and aerial photographs, both separately and in combination. The cross-validated discrimination ability of the model was slightly higher when using lidar data (area under the receiver operator characteristic curve (AUC), 0.79) compared to models using aerial photographs (AUC, 0.75) or field survey data (AUC, 0.78). The predictive performance consistently increased when combining the predictors from different sources, with an AUC of 0.86 being produced in the model combining all three data sources. The three data sources complemented one another, with each data source probably having an advantage at deriving one of three key aspects of the hazel grouse habitat, namely, vertically well-structured forest stands, horizontally mixed successional vegetation stages, and certain deciduous trees as food resources such as mountain ash (Sorbus aucuparia). In addition, the diverse lidar metrics might be applied to simultaneously characterize vertically and horizontally well-structured forest stands. We conclude that public available airborne lidar data are a viable source for creating habitat suitability maps for large areas and may have increased utility for detecting forest characteristics and valuable wildlife habitats.     

Effect of water activity on growth and enterotoxin D production of Staphylococcus aureus

Four enterotoxin D-producing strains of Staphylococcus aureus, were cultured at 37 degrees C in brain heart infusion broth adjusted to various water activity (aw) levels by means of NaCl. For high cell inocula growth of all strains and enterotoxin D production were observed within 6 days at aw levels down to 0.86.     

GSSTP: a signalling transport protocol for DVB‐S2 GSE‐only transmission systems

The current signalling framework for Digital Video Broadcasting systems is based on MPEG‐2 encoded Program Specific Information and System Information tables that rely on the transport stream. It is expected that in the near future, this architecture will be replaced by one based on the Generic Stream Encapsulation protocol, paving the way for the convergence of DVB‐S2 broadcast transmission networks and IP infrastructure. This paper presents a new lightweight Generic Stream Signalling Transport Protocol, which can be used to realise a transmission system based only on the Generic Stream Encapsulation and that efficiently supports filtering of Program Specific Information and System Information tables. Copyright © 2012 John Wiley & Sons, Ltd.