SNIFFLES

Artificial sniffer using linear ion trap technology

 Coordinatore TWI LIMITED 

 Organization address address: Granta Park, Great Abington
city: CAMBRIDGE
postcode: CB21 6AL

contact info
Titolo: Ms.
Nome: Debbie
Cognome: Mcconnell
Email: send email
Telefono: +44 1223 899410
Fax: +44 1223 8990952

 Nazionalità Coordinatore United Kingdom [UK]
 Sito del progetto http://www.sniffles.eu/
 Totale costo 4˙972˙971 €
 EC contributo 3˙493˙625 €
 Programma FP7-SECURITY
Specific Programme "Cooperation": Security
 Code Call FP7-SEC-2011-1
 Funding Scheme CP-FP
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-01-01   -   2015-04-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TWI LIMITED

 Organization address address: Granta Park, Great Abington
city: CAMBRIDGE
postcode: CB21 6AL

contact info
Titolo: Ms.
Nome: Debbie
Cognome: Mcconnell
Email: send email
Telefono: +44 1223 899410
Fax: +44 1223 8990952

UK (CAMBRIDGE) coordinator 633˙510.40
2    THE UNIVERSITY OF LIVERPOOL

 Organization address address: Brownlow Hill, Foundation Building 765
city: LIVERPOOL
postcode: L69 7ZX

contact info
Titolo: Ms.
Nome: Eleanor
Cognome: Parkinson
Email: send email
Telefono: 4401520000000
Fax: +44 151 794 8728

UK (LIVERPOOL) participant 680˙723.20
3    UNIVERSITE D'AIX MARSEILLE

 Organization address address: Boulevard Charles Livon 58
city: Marseille
postcode: 13284

contact info
Titolo: Ms.
Nome: Audrey
Cognome: Janssens
Email: send email
Telefono: +33 413550413

FR (Marseille) participant 463˙631.60
4    DA VINCI EUROPE LABORATORY SOLUTIONS BV

 Organization address address: CAIROSTRAAT 10
city: ROTTERDAM
postcode: 3047 BC

contact info
Titolo: Mr.
Nome: Martijn
Cognome: Van Raalte
Email: send email
Telefono: +31 10 2581870
Fax: +31 10 2581879

NL (ROTTERDAM) participant 459˙516.00
5    SAES GETTERS S.P.A.

 Organization address address: VIALE ITALIA 77
city: LAINATE (MI)
postcode: 20020

contact info
Titolo: Ms.
Nome: Maria
Cognome: Ferlino
Email: send email
Telefono: +39 0293178204
Fax: +39 02 9317 81370

IT (LAINATE (MI)) participant 332˙468.00
6    Q TECHNOLOGIES LTD

 Organization address address: Childwall Road 100
city: Liverpool
postcode: L15 6UX

contact info
Titolo: Mr.
Nome: Jason
Cognome: Duffin
Email: send email
Telefono: +44 151 7944517

UK (Liverpool) participant 315˙981.00
7    DSM R & D SOLUTIONS BV

 Organization address address: POSTSTRAAT 1
city: SITTARD
postcode: 6135 KR

contact info
Titolo: Mr.
Nome: Robbert
Cognome: Schellekens
Email: send email
Telefono: +31 610904600

NL (SITTARD) participant 216˙639.00
8    XaarJet AB

 Organization address address: Elektronikhojden 10
city: JARFALLA
postcode: 17526

contact info
Titolo: Dr.
Nome: Werner
Cognome: Zapka
Email: send email
Telefono: +44 8 58088760

SE (JARFALLA) participant 143˙478.00
9    WAGTAIL UK LIMITED

 Organization address address: MOSTYN HALL
city: HOLYWELL
postcode: CH89HN

contact info
Titolo: Mr.
Nome: Collin
Cognome: Singer
Email: send email
Telefono: +441745 561166

UK (HOLYWELL) participant 133˙593.00
10    ENVISIONTEC GMBH

 Organization address city: Gladbeck
postcode: 45968

contact info
Titolo: Ms.
Nome: Ingrid
Cognome: Hanny
Email: send email
Telefono: +49 2043 98750

DE (Gladbeck) participant 114˙084.80
11    UNIVERSITE DE PROVENCE

 Organization address address: PLACE VICTOR HUGO 3
city: MARSEILLE
postcode: 13331

contact info
Titolo: Ms.
Nome: Audrey
Cognome: Janssens
Email: send email
Telefono: +33 413550413

FR (MARSEILLE) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

significantly    border    larger    once    weapons    substances    detect    device    universal    molecules    techniques    million    sniffer    linear    fingerprint    spectrometry    gas    substance    parts    trap    performance    below    illegal    sensor    ion    complement    markets    database    security    dogs    trace    levels    mass    single    vacuum    online    artificial    sniffles    people    drugs    transport    illicit    explosives    miniaturisation    atoms    reducing    ms    technique    solutions    lit   

 Obiettivo del progetto (Objective)

'The research will develop a universal gas sensor using modular technologies to function as an artificial sniffer. It will detect a range of substances, including but not limited to people, drugs, explosives (including weapons) and CBRNe. The technology will complement trained sniffer dogs. The technology proposed is based on linear ion trap (LIT) mass spectrometry (MS). MS techniques have been increasingly deployed in security sniffing applications in the USA. MS is a non-intrusive high-resolution technique able to detect single atoms and complex molecules through their charged species (ions) or fragmentation pattern. The technique is capable of detecting a wide range of substances rapidly, with high accuracy and with a stand-off capability – critically it is able to detect trace levels below parts per million. Once the MS fingerprint of a unknown substance is measured it can be compared online with a database of known substances enabling real-time rapid identification. Sniffles will develop a LIT MS based device with a larger mass range than other comparable MS techniques. Methods for miniaturisation and modularisation will be applied to allow reduced vacuum demand and upgradeability. Miniaturisation will be made possible through improved designs based on results from modelling, novel manufacturing techniques and improvements in the MS drive electronics and vacuum system. These advances will bring benefits including reduced acquisition/operating costs, greater mobility, user friendliness and flexibility. Sniffles has the potential to significantly impact on National Security and border control and enable exploitation of International Markets. Performance will be benchmarked against a state-of-the-art conventional MS system and security sniffer dogs – within the context of a border security checkpoint. Sniffles aims to demonstrate an automated portable MS-based sniffer device, tested and evaluated for a range of security applications and markets by end-users.'

Introduzione (Teaser)

An advanced novel device to detect illicit substances such as explosives and drugs can significantly enhance and speed up security at border controls and transport hubs.

Descrizione progetto (Article)

As crime and terrorism continue to threaten the vision of a peaceful world, advances in technology are bringing solutions to discourage and pre-empt menacing events. One positive development in this respect is the prospect of a universal gas sensor, or artificial sniffer, to detect a variety of substances from drugs to explosives. The EU-funded project 'Artificial sniffer using linear ion trap technology' (http://www.sniffles.eu/ (SNIFFLES)) is working on such a promising device.

Aiming to complement sniffer dogs in their work, the technology is being designed to detect people carrying harmful substances, but also weapons and drugs. SNIFFLES is exploiting linear ion trap mass spectrometry to achieve its aims, based on the device's sophisticated ability to identify single atoms and complex molecules.

The flexible user-friendly device can even detect trace levels below parts per million, boasting as well a mass range larger than other mass spectrometry solutions currently on the market. It can take a 'fingerprint' of a substance and compare it with an online database to immediately identify it.

Already, the team has outlined the procedure and design, including gas load evaluation of the required vacuum system and sensor performance metrics. It built the linear ion trap, electronic control unit and inlet device, in addition to developing the required software. This was followed by experiments to evaluate vapour ionisation, a crucial part of the process.

Once commercialised, the device could be used in a myriad of ways, such as at border checks to prevent transport of illegal substances, including biological and chemical warfare agents. This quick and affordable solution could also be used to streamline passenger traffic by quickly scanning for illegal substances, offering low alarm rates and reducing queues. Lastly, it promises to increase security by reducing human error, representing a less invasive and questionable method to detect illicit substances compared to other solutions.

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