SNIFFER Sensory devices network for food supply...
Transcript of SNIFFER Sensory devices network for food supply...
SNIFFER
Sensory devices network for food supply chain security
FP7-SEC-312411
13 July 2015 SNIFFER FP7-SEC-312411
Project PresentationChristoph Czerwenka,
Austrian Agency for Health and Food Safety
Foodseg-Symposium, Rome
Project concept
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Design and development of a network of distributed detection devicescapable of rapid, on-site detection of multiple kinds of CBR agentswith high sensitivity and specificity throughout the most vulnerablestages of the food supply chain.
Foodseg-Symposium
Objective
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The SNIFFER consortium has established a precise and main objective for this project which is to:– Increase the security of the food supply chain by developing a
network of detection devices to detect CBR agents introduced in food either by accidental, natural or intentional means.
– Create new and innovative sensor devices based on the molecularimprinted polymers (MIPs) technology in combination with fluorogenic probes.
Foodseg-Symposium
Main results to obtain
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Render the food supply chain more secure by applying bothcommercially available sensor devices and novel technology(namely the MIPs based sensor technology) in a networkenvironment comprising the aforementioned sensors.
Moreover, the SNIFFER project will also create a set of guidelines, whichpresent the countermeasures and procedures that shall be used whenever afood or feed borne incident is detected within the food supply chain.
Foodseg-Symposium
Project consortium
• 8 project partners with varied expertise in the areas of
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SNIFFER consortium
- food security- food and feed analysis & chemistry- CBRN threats- MIPs sensors- fluorogenic probes- networks- communication- microelectronics
• „Combination of worlds“ :1 SME1 CBRN lab2 national agencies2 research centres2 universities
Project partners I
• TEKEVER ASDS (Portugal):Research and project-heavy medium-sized enterpriseProject coordinatorDevelopment of sensor electronics & communications network
• Laboratório de Bromatologia e de Defesa Biológica (Portugal):part of the Portugese ArmyDefinition of operational requirements (end user point-of-view), laboratory testing and validation
• Umeå Universitet (Sweden):comprehensive university, hosts Swedish CBRNE centerIdentification of substances and scenarios, recommendations to policymakers
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Project partners II
• Instituto de Engenharia de Sistemas e Computadores (Portugal):private non-profit association at the interface of academia & industryDevelopment of MIP sensors
• Universidad de Burgos (Spain):Supramolecular Chemistry Group, Faculty of ScienceDevelopment of fluorescent probes, sensor development and testing
• Österreichische Agentur für Gesundheit und Ernährungssicherheit (Austria):government-owned company, performs tasks on behalf of the federal Austrian governmentKnowledge input on food supply chain and CBR agents, laboratory testing and validation
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Project partners III
• Centre Suisse d‘Electronique et de Microtechnique (Switzerland):private research and development centerDevelopment of networking platform and interfaces
• Forsvartes Forskningsinstitutt (Norway):agency under the Ministry of Defence, defence-related researchIdentification of substances and scenarios, guidelines for sampling
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Project figures
• Runtime: 3 years, May 2013 to April 2016
• Work involved: 325 person monthssignficant participation from all partners
• Total budget: 3.6 million €
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Steps towards the project‘s objective
• Development of a portable sensor which is- easy to use- with fast detection times and - easy cleaning procedure
• Development of novel fluorescent and colorimetric probes for detecting C agents and microbial toxins and which may augment the capabilities of the MIPs
• Development of a modular system, which- allows inclusion of commerical sensors (COTS) and - easy exchange of malfunctioning components or their upgrade
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Steps towards the project‘s objective
• Development of a database of the most dangerous CBR agents which may be found within the food supply chain and potential scenarios for their entry into the food supply chain incl. countermeasure plan
• Design of a sensor network in which sensor data is transmitted to a control center where data are fused and which may issue commands to the sensors
• Validation of the sensors and the entire SNIFFER system- in the laboratory and - in an evironments that simulates a particular scenario - incl. comparison to existing detection methods
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SNIFFER Validation Scenario
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Work packages & tasks
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Overview of work done so far I
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• Elaboration of SNIFFER concept and system setup
Overview of work done so far II
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• Elaboration of food supply chain vulnerabilities:- vulnerable stages of the food supply chain- CBR agents threatening the food supply chain safety- scenarios of CBR agent contaminations throughout the food supply
chain: 12 scenarios (natural/accidental/intentional,
chemical/biological/radiological)- Vulnerable food supply chains (e.g. dairy supply chain)- vulnerabilities and their interactions within the food supply system
• 5 CBR agents selected for MIPs sensor development
• Validation scenario with 7 CBR agents defined- measurement by MIPs and COTS sensors- list of potential COTS sensors compiled incl. analysis of strengths &
weaknesses (initial list of 49 sensors which was further refined)
Overview of work done so far III
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• Definition of requirements / choice criteria for:- SNIFFER command center - COTS sensors (B/C/R)- connection device - COTS sample preparation- MIP sensors (B/C)- SNIFFER sample preparation kit
• Definition of SNIFFER system framework:- necessary modules- information flows - communication options
• Definition of software architecture and sensor data format
• Sensor network security:- threat analysis
Overview of work done so far IV
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• Identification of related EU and national projectswith potential for:- knowledge transfer- cooperation- SNIFFER sustainability31 on-going EU projects identified3 were already contacted for cooperation (EDEN, FOODSEG, INSTANT)
• Guidelines for SNIFFER operators established including- safety precautions- training requirements- operation of sensors- equipment maintenance and cleaning- countermeasure plans
• Procedures for sampling and sample preparation established
Thank you…
for your attention!
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