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MOUGINS, France

The development of new methodologies advancing the state of the art in foodborne pathogen detection is a challenge for scientists and technologists as well as food industry and consumers. This project aims to meet the challenge by providing a reliable and versatile solution thanks to the convergence of micro-nano-bio systems. The work capitalizes on several innovative concepts which have already been proven to meet the required criteria for fast, low cost and highly sensitive analysis of pathogens in food samples in a previous research project entitled LoveFood. These concepts are gathered on a credit-card size Lab-on-Chip platform, where all necessary steps for bacteria detection are performed on several chips. Specifically, bacteria capture and lysis (one chip), DNA extraction (second chip) and amplification (third chip) and finally pathogenic-DNA detection (fourth chip) can be performed in less than 8 hours and without the need for skilled personnel or large, lab-based dedicated equipment. To proceed for a higher Technology Readiness Level towards the successful commercialization of the current prototype and produce a portable, and rapid platform (targeting total pathogen analysis time 4 hours including a 3 hour pre-enrichment step), we propose to further develop it by integrating the bacteria lysis, DNA purification and amplification modules, as well as the biochip detection platform on a single cartridge, able to perform multi-pathogen analysis (i.e. Salmonella, Listeria, Escherichia coli and Bacillus cereus) in multiple samples. The system will be developed for dairy products and meat analysis, with a strong commitment to produce a pre-industrial prototype by the end of the project.


Renewable energy (RE) sources have gained a great importance due to their inexhaustibility, sustainability, ecological awareness and supply of energy security. Among all RE sources, wind energy is currently viewed as one of the most significant fastest growing (at an average annual growth rate of more that 26% since 1990), commonly used and commercially attractive source to generate electrical energy. The vision of the wind industry in Europe is to increase winds fraction of electrical energy mix to more than 20% within the next 2 decades. To implement this, an average 10-15GW of additional capacity must be manufactured, delivered and implemented every year in Europe. In order to achieve this, further improvements in wind turbine technology are still needed. Wind turbines are not new concepts but still face challenges as a stable and reliable source of energy issues with efficiency, operations, maintenance and its general costs. There is a need to reduce the rate of electrical system faults and the corresponding downtime per fault which will contribute significantly to the overall reduction of the operational and maintenance cost associated with current and future wind turbines. This project aims to develop an advanced diagnostics and predictive maintenance intelligent sensor system network for Wind Turbine (with particular focus on faults, failures and breakdowns relating to the electrical system of the wind turbine).


Grant
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2011.3.2 | Award Amount: 3.94M | Year: 2012

The project is aimed at developing a fully integrated lab-on-chip microsystem platform, performing multimodal analysis of several analytes combining nucleic acid and whole bacteria detection. The system will allow directly and without prior culture the identification in one single run of a multiplicity of pathogens and their specific sequences responsible will be targeted and identified. The heart of this system will be an acoustic detection biochip incorporating an array of Love wave acoustic sensors, integrated with a microfluidic module. This detection platform will be combined with a micro-processor, which, alongside with magnetic beads technology and a micro-PCR module will be responsible for performing sample pre-treatment, bacteria lysis, nucleic acid purification and amplification as well as whole bacteria detection. Automated, multiscale manipulation of fluids in complex microchannel networks will be combined with novel sensing principles developed by some of the partners. This system is expected to have a significant impact in food-pathogen detection by addressing for the first time a pathological condition on a global rather than germ-by-germ basis, while screening simultaneously for various pathogens. Finally, thanks to the low cost and compact technologies involved, the proposed set-up is expected to provide a competitive analytical platform for direct application in field settings.


Grant
Agency: Cordis | Branch: FP7 | Program: CP-IP | Phase: FoF.NMP.2011-1 | Award Amount: 12.44M | Year: 2011

According to the International Energy Agency, the Manufacturing sector is at worldwide level responsible for approximately 37% of primary energy consumption being, in most of the developed countries, it is the largest energy consumer and CO2 producer. In this new competitive scenario, European manufacturers have to rethink the current ideas of manufacturing and factories, to be prepared for the new resource and energy efficient, sustainable factories of the future. The EMC-Factory project will develop a radically new paradigm for cost-effective, highly productive, energy-efficient and sustainable production systems, by using a breakthrough approach in: defining economically and ecologically oriented requirements for processes, equipment and management strategies, and provide system solutions to meet these requirements; definining enabling technologies to provide resource and emission reduction in manufacturing systems; providing integration technology reference models enabling and supporting new sustainable production; devising new factory design tools aimed at increasing overall energy/resource efficiency; providing standards for economically and environmentally sound factory infrastructures. The Project will improve and develop new technologies and processes, combining existing tools and methods in an overall integrated framework, in order to achieve the highest impact in terms of environmental sustainability of manufacturing systems. It will focus on main energy intensive processes within the most relevant industrial sectors in Europe (automotive, rail and aerospace), developing tangible and industry relevant results to be easily implemented in manufacturing environments. The project results will therefore lead to a sustainable green factory framework, oriented towards a highly resource and energy efficient production, as well as economically profitable. The new established paradigm will become a permanent reference point in European Manufacturing.


Grant
Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: NMP-2009-1.2-3 | Award Amount: 2.22M | Year: 2009

Surface Acoustic Wave (SAW) technology has been applied for more than 20 years to develop sensors exhibiting unique capabilities with limited ageing effects resulting in long term stability properties. During the 90s, they have proved their capability to be wirelessly operated without any on-board power supply. In parallel, the long term development of advanced material, particularly in Russia, has yielded a new class of material, namely Langasite and its variant forms, that can be substituted to quartz and lithium niobate particularly when operating at high temperature. Our project will demonstrate wireless SAW sensors operating in an unprecedented temperature range. This sets extreme challenges to all parts of the sensor system since the developed wireless system will be suitable to operate in harsh environments. The great progress brought by the project takes advantage of a consortium involving complementary major academics and industrial actors of SAW-sensor-based systems capable to successfully face the challenges of implementing a whole system allowing for physical metrology in harsh conditions. Substantial improvements will be provided for sensing physical parameters in a wide temperature range (-20C to \650C), in monitoring a nano-based production process and other applications. Significant knowledge will be generated in nano-sciences and nano-technologies linked to SAW physical sensors and materials for industrial applications. Demonstration of the system will be achieved at an industrial level for monitoring physical parameters under high pressures and high temperatures. The SAWHOT project consortium is set up on the basis of a bilateral Russian-European partnership generating a unique workforce cooperating within the FP7 framework to address this challenge. Finally, this project will bring on sustainable high-tech socio economic prospects : new markets and standards, improved cooperation between EU and Russian organizations.

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