Aspectos técnicos e ambientais da incorporação de novas tecnologias no setor sucroalcooleiro: produção de hidrogênio e gaseificação do bagaço

The purpose of this work is to study the incorporation of hydrogen production (Case A) and the process of gasification of sugarcane bagasse associated with combined cycle gas turbine and steam turbine (Case B) for Distillery Pioneers process. These technologies can be used to improve the energy supply in the sugarcane mill. Initially the processes for obtaining sugar and ethanol from sugarcane is discussed, with a theoretical introduction to hydrogen, the process of steam reforming and gasification of biomass (bagasse) by inserting a turbine associated with the recovery boiler gas. Subsequently makes up the energy and exergy analysis of the incorporation of the above technologies. In end stage makes it an ecological analysis considering or not the carbon cycle (photosynthesis), to determine the levels of emissions of pollutants, carbon dioxide equivalent, indicators of pollution and ecological efficiencies associated with technological developments proposed. It is concluded that hydrogen production by steam reforming of ethanol and gasification of bagasse are viable alternatives from the point of view of technical and environmental applications in the biofuels industry, contributing to the development of the sector in the country

Simulação de ciclo combinado utilizando software comercial

In Brazil, The power generation has always depended on the rivers, in other words, there are moments that the power generation can vary, which can cause variations in energy supply and even blackout according to the level of water in the reservoirs of the hydroelectric plants. For this reason, many options has been studied, like our example, which is about a combined cycle power plant in Canas. The use of combined cycle is interesting from the point o view of energy, because its efficiency is between 50 and 60%, and from the point of view of environment, because it can burn natural gas, which is cleaner than coal, it reduces the emission of gases that influence on the greenhouse effect. This work aims to perform a technical analysis of a case study of a power plant proposed to be built in Canas by the AES/AES Tietê Group. For the analysis will be used the commercial software GateCycle 6.0.0 from GE, this software has the power of simulating power generation cycles (nuclear, combined, etc.). The energy department of UNESP has the license, which makes possible the academic use of this tool. Two combined cycles were simulated, one using one pressure level HRSG, and another one closer to the real power plant, which is a combined cycle with a three pressure level HRSG. The results were close to expected, for the combined cycle with one pressure HRSG the power was 513,9 MW and a efficiency of 53,27%, in the case with the three pressure level HRSG the power was 517,1 MW and a efficiency of 53,5%. We conclude that the software requires that the user must have the knowledge about the subjects involved in the use of GateCycle in problems resolutions

Localização de descargas parciais em transformadores de potência imersos em óleo mineral por meio de cápsulas piezelétricas de baixo custo e sistemas inteligentes

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

An approach to mitigate denial of service attacks in ieee 802.11 networks

Wireless networks are widely deployed and have many uses, for example in critical embedded systems. The applications of this kind of network meets the common needs of most embedded systems and addressing the particularities of each scenario, such as limitations of computing resources and energy supply. Problems such as denial of service attacks are common place and cause great inconvenience. Thus, this study presents simulations of denial of service attacks on 802.11 wireless networks using the network simulator OMNeT++. Furthermore, we present an approach to mitigate such attack, obtaining significant results for improving wireless networks.

Propostas de modelagem matemática para o problema de restauração de sistemas de distribuição de energia elétrica radiais

Pós-graduação em Engenharia Elétrica - FEIS

Desenvolvimento de metodologia para implementação de eficiência energética em sistemas auxiliares de uma planta industrial siderúrgica semi-integrada

Pós-graduação em Engenharia Mecânica - FEG

O papel dos consumidores residencias no ambiente das redes inteligentes: medidores eletrônicos de energia

Pós-graduação em Engenharia Mecânica - FEG

El gran reto de la integración de la electricidad de origen renovable en las redes eléctricas de Canarias

[ES] Las Islas Canarias carecen totalmente de recursos energéticos convencionales, representando la importación de energía primaria un 98% del consumo del Archipiélago. En la actualidad las Islas se suministran de petróleo y sus derivados, importándolos mediante buques. Sin embargo, Canarias posee un alto potencial de energías renovables, energías autóctonas y limpias, pero tan sólo un 2% del consumo de energía primaria procede de energías renovables. La búsqueda de la sostenibilidad energética es uno de los grandes desafíos de Canarias y la integración de la electricidad de origen renovable en sus redes eléctricas uno de los grandes retos que podría convertir a Canarias en un laboratorio a nivel mundial; el ejemplo de la isla de El Hierro así lo constata. Este artículo versa sobre este gran reto que supone la integración de energías renovables en las redes eléctricas de Canarias.

Progetto di reti Sensori Wireless e tecniche di Fusione Sensoriale

Ambient Intelligence (AmI) envisions a world where smart, electronic environments are aware and responsive to their context. People moving into these settings engage many computational devices and systems simultaneously even if they are not aware of their presence. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. The dependence on a large amount of fixed and mobile sensors embedded into the environment makes of Wireless Sensor Networks one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes, simple devices that typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. In order to handle the large amount of data generated by a WSN several multi sensor data fusion techniques have been developed. The aim of multisensor data fusion is to combine data to achieve better accuracy and inferences than could be achieved by the use of a single sensor alone. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas: Multimodal Surveillance and Activity Recognition. Novel techniques to handle data from a network of low-cost, low-power Pyroelectric InfraRed (PIR) sensors are presented. Such techniques allow the detection of the number of people moving in the environment, their direction of movement and their position. We discuss how a mesh of PIR sensors can be integrated with a video surveillance system to increase its performance in people tracking. Furthermore we embed a PIR sensor within the design of a Wireless Video Sensor Node (WVSN) to extend its lifetime. Activity recognition is a fundamental block in natural interfaces. A challenging objective is to design an activity recognition system that is able to exploit a redundant but unreliable WSN. We present our activity in building a novel activity recognition architecture for such a dynamic system. The architecture has a hierarchical structure where simple nodes performs gesture classification and a high level meta classifiers fuses a changing number of classifier outputs. We demonstrate the benefit of such architecture in terms of increased recognition performance, and fault and noise robustness. Furthermore we show how we can extend network lifetime by performing a performance-power trade-off. Smart objects can enhance user experience within smart environments. We present our work in extending the capabilities of the Smart Micrel Cube (SMCube), a smart object used as tangible interface within a tangible computing framework, through the development of a gesture recognition algorithm suitable for this limited computational power device. Finally the development of activity recognition techniques can greatly benefit from the availability of shared dataset. We report our experience in building a dataset for activity recognition. Such dataset is freely available to the scientific community for research purposes and can be used as a testbench for developing, testing and comparing different activity recognition techniques.

Sistemi riconfigurabili a basso consumo per applicazioni di monitoraggio distribuito

The term Ambient Intelligence (AmI) refers to a vision on the future of the information society where smart, electronic environment are sensitive and responsive to the presence of people and their activities (Context awareness). In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices. This promotes the creation of pervasive environments improving the quality of life of the occupants and enhancing the human experience. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. Ambient intelligent systems are heterogeneous and require an excellent cooperation between several hardware/software technologies and disciplines, including signal processing, networking and protocols, embedded systems, information management, and distributed algorithms. Since a large amount of fixed and mobile sensors embedded is deployed into the environment, the Wireless Sensor Networks is one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes which can be deployed in a target area to sense physical phenomena and communicate with other nodes and base stations. These simple devices typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). WNS promises of revolutionizing the interactions between the real physical worlds and human beings. Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. To fully exploit the potential of distributed sensing approaches, a set of challengesmust be addressed. Sensor nodes are inherently resource-constrained systems with very low power consumption and small size requirements which enables than to reduce the interference on the physical phenomena sensed and to allow easy and low-cost deployment. They have limited processing speed,storage capacity and communication bandwidth that must be efficiently used to increase the degree of local ”understanding” of the observed phenomena. A particular case of sensor nodes are video sensors. This topic holds strong interest for a wide range of contexts such as military, security, robotics and most recently consumer applications. Vision sensors are extremely effective for medium to long-range sensing because vision provides rich information to human operators. However, image sensors generate a huge amount of data, whichmust be heavily processed before it is transmitted due to the scarce bandwidth capability of radio interfaces. In particular, in video-surveillance, it has been shown that source-side compression is mandatory due to limited bandwidth and delay constraints. Moreover, there is an ample opportunity for performing higher-level processing functions, such as object recognition that has the potential to drastically reduce the required bandwidth (e.g. by transmitting compressed images only when something ‘interesting‘ is detected). The energy cost of image processing must however be carefully minimized. Imaging could play and plays an important role in sensing devices for ambient intelligence. Computer vision can for instance be used for recognising persons and objects and recognising behaviour such as illness and rioting. Having a wireless camera as a camera mote opens the way for distributed scene analysis. More eyes see more than one and a camera system that can observe a scene from multiple directions would be able to overcome occlusion problems and could describe objects in their true 3D appearance. In real-time, these approaches are a recently opened field of research. In this thesis we pay attention to the realities of hardware/software technologies and the design needed to realize systems for distributed monitoring, attempting to propose solutions on open issues and filling the gap between AmI scenarios and hardware reality. The physical implementation of an individual wireless node is constrained by three important metrics which are outlined below. Despite that the design of the sensor network and its sensor nodes is strictly application dependent, a number of constraints should almost always be considered. Among them: • Small form factor to reduce nodes intrusiveness. • Low power consumption to reduce battery size and to extend nodes lifetime. • Low cost for a widespread diffusion. These limitations typically result in the adoption of low power, low cost devices such as low powermicrocontrollers with few kilobytes of RAMand tenth of kilobytes of program memory with whomonly simple data processing algorithms can be implemented. However the overall computational power of the WNS can be very large since the network presents a high degree of parallelism that can be exploited through the adoption of ad-hoc techniques. Furthermore through the fusion of information from the dense mesh of sensors even complex phenomena can be monitored. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas:Low Power Video Sensor Node and Video Processing Alghoritm and Multimodal Surveillance . Low Power Video Sensor Nodes and Video Processing Alghoritms In comparison to scalar sensors, such as temperature, pressure, humidity, velocity, and acceleration sensors, vision sensors generate much higher bandwidth data due to the two-dimensional nature of their pixel array. We have tackled all the constraints listed above and have proposed solutions to overcome the current WSNlimits for Video sensor node. We have designed and developed wireless video sensor nodes focusing on the small size and the flexibility of reuse in different applications. The video nodes target a different design point: the portability (on-board power supply, wireless communication), a scanty power budget (500mW),while still providing a prominent level of intelligence, namely sophisticated classification algorithmand high level of reconfigurability. We developed two different video sensor node: The device architecture of the first one is based on a low-cost low-power FPGA+microcontroller system-on-chip. The second one is based on ARM9 processor. Both systems designed within the above mentioned power envelope could operate in a continuous fashion with Li-Polymer battery pack and solar panel. Novel low power low cost video sensor nodes which, in contrast to sensors that just watch the world, are capable of comprehending the perceived information in order to interpret it locally, are presented. Featuring such intelligence, these nodes would be able to cope with such tasks as recognition of unattended bags in airports, persons carrying potentially dangerous objects, etc.,which normally require a human operator. Vision algorithms for object detection, acquisition like human detection with Support Vector Machine (SVM) classification and abandoned/removed object detection are implemented, described and illustrated on real world data. Multimodal surveillance: In several setup the use of wired video cameras may not be possible. For this reason building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. Energy efficiency for wireless smart camera networks is one of the major efforts in distributed monitoring and surveillance community. For this reason, building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. The Pyroelectric Infra-Red (PIR) sensors have been used to extend the lifetime of a solar-powered video sensor node by providing an energy level dependent trigger to the video camera and the wireless module. Such approach has shown to be able to extend node lifetime and possibly result in continuous operation of the node.Being low-cost, passive (thus low-power) and presenting a limited form factor, PIR sensors are well suited for WSN applications. Moreover techniques to have aggressive power management policies are essential for achieving long-termoperating on standalone distributed cameras needed to improve the power consumption. We have used an adaptive controller like Model Predictive Control (MPC) to help the system to improve the performances outperforming naive power management policies.

Effect of hypoxia and hyperglycemia on cell bioenergetics

Mitochondria have a central role in energy supply in cells, ROS production and apoptosis and have been implicated in several human disease and mitochondrial dysfunctions in hypoxia have been related with disorders like Type II Diabetes, Alzheimer Disease, inflammation, cancer and ischemia/reperfusion in heart. When oxygen availability becomes limiting in cells, mitochondrial functions are modulated to allow biologic adaptation. Cells exposed to a reduced oxygen concentration readily respond by adaptive mechanisms to maintain the physiological ATP/ADP ratio, essential for their functions and survival. In the beginning, the AMP-activated protein kinase (AMPK) pathway is activated, but the responsiveness to prolonged hypoxia requires the stimulation of hypoxia-inducible factors (HIFs). In this work we report a study of the mitochondrial bioenergetics of primary cells exposed to a prolonged hypoxic period . To shine light on this issue we examined the bioenergetics of fibroblast mitochondria cultured in hypoxic atmospheres (1% O2) for 72 hours. Here we report on the mitochondrial organization in cells and on their contribution to the cellular energy state. Our results indicate that prolonged hypoxia cause a significant reduction of mitochondrial mass and of the quantity of the oxidative phosphorylation complexes. Hypoxia is also responsible to damage mitochondrial complexes as shown after normalization versus citrate synthase activity. HIF-1α plays a pivotal role in wound healing, and its expression in the multistage process of normal wound healing has been well characterized, it is necessary for cell motility, expression of angiogenic growth factor and recruitment of endothelial progenitor cells. We studied hypoxia in the pathological status of diabetes and complications of diabetes and we evaluated the combined effect of hyperglycemia and hypoxia on human dermal fibroblasts (HDFs) and human dermal micro-vascular endothelial cells (HDMECs) that were grown in high glucose, low glucose concentrations and mannitol as control for the osmotic challenge.

Einfluss der AMPK-Aktivität auf Endothelfunktion, oxidativen Stress und vaskuläre Inflammation

Die AMPK ist ein ubiquitär exprimiertes, heterotrimeres Enzym, das bei Energiemangel das Überleben der Zelle sichert. Um diese Funktion ausüben zu können fungiert die AMPK als sogenannter „Energie-Sensor“, der durch steigende AMP Mengen aktiviert wird. In diesem Zustand werden ATP verbrauchende Reaktionen inhibiert und gleichzeitig ATP generierende Vorgänge induziert. Im vaskulären System konnte gezeigt werden, dass die endotheliale NOSynthase durch die AMPK aktiviert, die Angiogenese stimuliert, die Endothelzellapoptose und das Wachstum von Gefäßmuskelzellen inhibiert wird. All diese Prozesse sind fundamental in der Entwicklung von kardiovaskulären Krankheiten, was auf eine protektive Funktion der AMPK im vaskulären System hindeutet. In der vorliegenden Arbeit sollten die Effekte der in vivo Modulation der AMPK Aktivität auf Endothelfunktion, oxidativen Stress und Inflammation untersucht werden. Dazu wurden zwei unterschiedliche Mausmodelle genutzt: Einerseits wurde die AMPK Aktivität durch den pharmakologischen AMPK-Aktivator AICAR stimuliert und andererseits die vaskulär vorherrschende AMPK-Isoform durch knock out ausgeschaltet. Zur Induktion von oxidativem Stress wurde ein bereits charakterisiertes Angiotensin II-Modell angewandt. Zur Untersuchung gehörten neben den Superoxid-Messungen auch die Bestimmung der Stickstoffmonoxid-Mengen in Serum und Aortengewebe, die Relaxationsmessungen in isometrischen Tonusstudien sowie HPLC-basierte Assays. Es konnte gezeigt werden, dass durch die Aktivierung der AMPK mittels AICAR die Angiotensin II induzierte Endotheldysfunktion, der oxidative Stress und auch die vaskuläre Inflammation verbessert werden konnte. Weiterhin zeigte sich dass der knock out der vaskulären Isoform (α1) im Angiotensin II Modell eine signifikant verstärkte Endotheldysfunktion, oxidativen Stress und Inflammation nach sich zog. Anhand der erhobenen Daten konnte die NADPH-Oxidase als Hauptquelle des Angiotensin II induzierten oxidativen Stresses identifiziert werden, wobei sich diese Quelle als AMPK sensitiv erwies. Durch die Aktivierung konnte die Aktivität der NADPH-Oxidase verringert und durch die α1AMPK Defizienz signifikant erhöht werden. Auch die mitochondriale Superoxidproduktion konnte durch die Modulation der AMPK Aktivität beeinflusst werden. Die vaskuläre Inflammation, die anhand der Surrogaten VCAM-1, COX-2 und iNOS untersucht wurde, konnte durch Aktivierung der AMPK verringert werden, der knock out der α1AMPK führte so einer sehr starken Expressionssteigerung der induzierbaren NO-Synthase, was in einem starken Anstieg der NO-Produktion und somit der Peroxynitritbildung resultierte.Die dargestellten Daten deuten stark auf eine protektive Funktion der AMPK im vaskulären System hin und sollte als therapeutisches Ziel, nicht nur in Bezug auf diabetische Patienten, in Betracht gezogen werden.

Investigation of the lithium ion mobility in cyclic model compounds and their ion conducting properties

Efficient energy storage and conversion is playing a key role in overcoming the present and future challenges in energy supply. Batteries provide portable, electrochemical storage of green energy sources and potentially allow for a reduction of the dependence on fossil fuels, which is of great importance with respect to the issue of global warming. In view of both, energy density and energy drain, rechargeable lithium ion batteries outperform other present accumulator systems. However, despite great efforts over the last decades, the ideal electrolyte in terms of key characteristics such as capacity, cycle life, and most important reliable safety, has not yet been identified. rnrnSteps ahead in lithium ion battery technology require a fundamental understanding of lithium ion transport, salt association, and ion solvation within the electrolyte. Indeed, well-defined model compounds allow for systematic studies of molecular ion transport. Thus, in the present work, based on the concept of ‘immobilizing’ ion solvents, three main series with a cyclotriphosphazene (CTP), hexaphenylbenzene (HBP), and tetramethylcyclotetrasiloxane (TMS) scaffold were prepared. Lithium ion solvents, among others ethylene carbonate (EC), which has proven to fulfill together with pro-pylene carbonate safety and market concerns in commercial lithium ion batteries, were attached to the different cores via alkyl spacers of variable length.rnrnAll model compounds were fully characterized, pure and thermally stable up to at least 235 °C, covering the requested broad range of glass transition temperatures from -78.1 °C up to +6.2 °C. While the CTP models tend to rearrange at elevated temperatures over time, which questions the general stability of alkoxide related (poly)phosphazenes, both, the HPB and CTP based models show no evidence of core stacking. In particular the CTP derivatives represent good solvents for various lithium salts, exhibiting no significant differences in the ionic conductivity σ_dc and thus indicating comparable salt dissociation and rather independent motion of cations and ions.rnrnIn general, temperature-dependent bulk ionic conductivities investigated via impedance spectroscopy follow a William-Landel-Ferry (WLF) type behavior. Modifications of the alkyl spacer length were shown to influence ionic conductivities only in combination to changes in glass transition temperatures. Though the glass transition temperatures of the blends are low, their conductivities are only in the range of typical polymer electrolytes. The highest σ_dc obtained at ambient temperatures was 6.0 x 10-6 S•cm-1, strongly suggesting a rather tight coordination of the lithium ions to the solvating 2-oxo-1,3-dioxolane moieties, supported by the increased σ_dc values for the oligo(ethylene oxide) based analogues.rnrnFurther insights into the mechanism of lithium ion dynamics were derived from 7Li and 13C Solid- State NMR investigations. While localized ion motion was probed by i.e. 7Li spin-lattice relaxation measurements with apparent activation energies E_a of 20 to 40 kJ/mol, long-range macroscopic transport was monitored by Pulsed-Field Gradient (PFG) NMR, providing an E_a of 61 kJ/mol. The latter is in good agreement with the values determined from bulk conductivity data, indicating the major contribution of ion transport was only detected by PFG NMR. However, the μm-diffusion is rather slow, emphasizing the strong lithium coordination to the carbonyl oxygens, which hampers sufficient ion conductivities and suggests exploring ‘softer’ solvating moieties in future electrolytes.rn

Mikrobielle Prozesskontrolle in Biogasanlagen durch Monitoring der Kohlenstoff-Isotopenverhältnisse im Gasbereich

Der zunehmende Anteil von Strom aus erneuerbaren Energiequellen erfordert ein dynamisches Konzept, um Spitzenlastzeiten und Versorgungslücken aus der Wind- und Solarenergie ausgleichen zu können. Biogasanlagen können aufgrund ihrer hohen energetischen Verfügbarkeit und der Speicherbarkeit von Biogas eine flexible Energiebereitstellung ermöglichen und darüber hinaus über ein „Power-to-Gas“-Verfahren bei einem kurzzeitigen Überschuss von Strom eine Überlastung des Stromnetzes verhindern. Ein nachfrageorientierter Betrieb von Biogasanlagen stellt jedoch hohe Anforderungen an die Mikrobiologie im Reaktor, die sich an die häufig wechselnden Prozessbedingungen wie der Raumbelastung im Reaktor anpassen muss. Eine Überwachung des Fermentationsprozesses in Echtzeit ist daher unabdingbar, um Störungen in den mikrobiellen Gärungswegen frühzeitig erkennen und adäquat entgegenwirken zu können. rnBisherige mikrobielle Populationsanalysen beschränken sich auf aufwendige, molekularbiologische Untersuchungen des Gärsubstrates, deren Ergebnisse dem Betreiber daher nur zeitversetzt zur Verfügung stehen. Im Rahmen dieser Arbeit wurde erstmalig ein Laser-Absorptionsspektrometer zur kontinuierlichen Messung der Kohlenstoff-Isotopenverhältnisse des Methans an einer Forschungsbiogasanlage erprobt. Dabei konnten, in Abhängigkeit der Raumbelastung und Prozessbedingungen variierende Isotopenverhältnisse gemessen werden. Anhand von Isolaten aus dem untersuchten Reaktor konnte zunächst gezeigt werden, dass für jeden Methanogenesepfad (hydrogeno-troph, aceto¬klastisch sowie methylotroph) eine charakteristische, natürliche Isotopensignatur im Biogas nachgewiesen werden kann, sodass eine Identifizierung der aktuell dominierenden methanogenen Reaktionen anhand der Isotopen-verhältnisse im Biogas möglich ist. rnDurch den Einsatz von 13C- und 2H-isotopen¬markierten Substraten in Rein- und Mischkulturen und Batchreaktoren, sowie HPLC- und GC-Unter¬suchungen der Stoffwechselprodukte konnten einige bislang unbekannte C-Flüsse in Bioreaktoren festgestellt werden, die sich wiederum auf die gemessenen Isotopenverhältnisse im Biogas auswirken können. So konnte die Entstehung von Methanol sowie dessen mikrobieller Abbauprodukte bis zur finalen CH4-Bildung anhand von fünf Isolaten erstmalig in einer landwirtschaftlichen Biogasanlage rekonstruiert und das Vorkommen methylotropher Methanogenesewege nachgewiesen werden. Mithilfe molekularbiologischer Methoden wurden darüber hinaus methanoxidierende Bakterien zahlreicher, unbekannter Arten im Reaktor detektiert, deren Vorkommen aufgrund des geringen O2-Gehaltes in Biogasanlagen bislang nicht erwartet wurde. rnDurch die Konstruktion eines synthetischen DNA-Stranges mit den Bindesequenzen für elf spezifische Primerpaare konnte eine neue Methode etabliert werden, anhand derer eine Vielzahl mikrobieller Zielorganismen durch die Verwendung eines einheitlichen Kopienstandards in einer real-time PCR quantifiziert werden können. Eine über 70 Tage durchgeführte, wöchentliche qPCR-Analyse von Fermenterproben zeigte, dass die Isotopenverhältnisse im Biogas signifikant von der Zusammensetzung der Reaktormikrobiota beeinflusst sind. Neben den aktuell dominierenden Methanogenesewegen war es auch möglich, einige bakterielle Reaktionen wie eine syntrophe Acetatoxidation, Acetogenese oder Sulfatreduktion anhand der δ13C (CH4)-Werte zu identifizieren, sodass das hohe Potential einer kontinuierlichen Isotopenmessung zur Prozessanalytik in Biogasanlagen aufgezeigt werden konnte.rn

Excitability properties of mouse motor axons in the mutant SOD1(G93A) model of amyotrophic lateral sclerosis

Non-invasive excitability studies of motor axons in patients with amyotrophic lateral sclerosis (ALS) have revealed a changing pattern of abnormal membrane properties with disease progression, but the heterogeneity of the changes has made it difficult to relate them to pathophysiology. The SOD1(G93A) mouse model of ALS displays more synchronous motoneuron pathology. Multiple excitability measures of caudal and sciatic nerves in mutant and wild-type mice were compared before onset of signs and during disease progression (4-19 weeks), and they were related to changes in muscle fiber histochemistry. Excitability differences indicated a modest membrane depolarization in SOD1(G93A) axons at about the time of symptom onset (8 weeks), possibly due to deficient energy supply. Previously described excitability changes in ALS patients, suggesting altered sodium and potassium conductances, were not seen in the mice. This suggests that those changes relate to features of the human disease that are not well represented in the animal model.