A Veterinary Decision Support System by Rapid Bacterial Infection Detection (RAID)

Informations projet

RAID

N° de convention de subvention: 744038

DOI

10.3030/744038

Projet clôturé

Date de signature de la CE 5 Novembre 2016

Date de début 1 Novembre 2016

Date de fin 28 Février 2017

Financé au titre de

• SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy

Coût total

€ 71 429,00

Contribution de l’UE

€ 50 000,00

Coordonné par

TONOSOFT ORVOSTECHNIKAI ES KUTATAS-FEJLESZTESI KFT
Hungary

Periodic Reporting for period 1 - RAID (A Veterinary Decision Support System by Rapid Bacterial Infection Detection (RAID))

Période du rapport: 2016-11-01 au 2017-02-28

Résumé du contexte et des objectifs généraux du projet

One of the most important challenges of humanity is to supply healthy food for the growing population. In order to supply enough meat, intensive animal growing is carried out world-wide. These technologies, however, involve several risks, for example broiler chickens produced for their meet in closed rearing houses, often suffer bacterial infections, which is the major cause of the high mortality in chicken farming. In the past, these animals were feed with antibiotic containing feedstuff for prevention. In the European Union antibiotics can only be added to animals after diagnosis by a veterinarian. The incontrovertible proof of bacterial infection may take 24 to 48 hours by techniques applied today. Our objective is to commercialize a Veterinary Decision Support System (RAID), which is able to detect bacterial infection within 3 hours at affordable cost in poultry (mainly Broiler chicken) farming.

Travail effectué depuis le début du projet jusqu’à la fin de la période considérée dans le rapport et principaux résultats atteints jusqu’à présent

Our company, Tonosoft is providing R&D services to our clients in chemistry method development, biotechnological process development and analytical chemistry method developments. In the last 3 years, we developed a Mass Spectroscopy (MS) based method for the detection of compounds found on the outer surface of the bacterium cell (at high concertation) and use them for bacterial identification as “fingerprints”. In this Phase 1 project we confirmed the technical feasibility and economic viability of our project. We carried out detailed validation both by mathematical modelling and independent experiments. We made market assessment and carried out interviews with potential endures. We shall exploit the project results towards chicken farmers and veterinarians, as a web passed decision support tool.

Progrès au-delà de l’état des connaissances et impact potentiel prévu (y compris l’impact socio-économique et les conséquences sociétales plus larges du projet jusqu’à présent)

In the day to day farming practice, a veterinarian must examine ill or deceased animals and prove the bacterial infection before applying any antibiotics. This proof, however, requires bacteriological culturing under laboratory conditions, which takes 12 to 48 hours. By the RAID method bacterial infection can be detected during 3 hours with more than 90% overall accuracy. The key innovation of our development is the intelligent algorithm that can separate the complicated mixed spectral signal of “bacterial fingerprints” and the software based on this algorithm. Our project will impact on the European chicken farming industry and results in safer food by less and better justified usage of antibiotics in feed stuff.

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