Acronym NA
Category
Marine Biotechnology
Aquaculture
Title Develop an automatic on-line molecular monitoring and treatment system to secure healthy fish within closed containment aquaculture systems
Programme National Programme
Instrument (FP6)
Contact Type (FP7)
Strand (Interreg)
NA
Theme (FP7)
Activity Area (FP6)
Regional Area (Interreg)
Action (COST)
NA
Specific Programme (FP7)
NA
Funding source National
Coordinator Nhut Tran
Coordinator email NA
Coordinator institution
NOFIMA - Norwegian Institute of Food, Fisheries and Aquaculture Research (Norway)
Institutions involved
HBV - Buskerud and Vestfold University College (Norway) ,
USN - University College of Southeast Norway (Norway) ,
UiB - University of Bergen (Norway) ,
Start year 2016
End year 2018
Funding (€) € 217,650
Website https://prosjektbanken.forskningsradet.no/project/FORISS/254862?Kilde=FORISS&distribution=Ar&chart=bar&calcType=funding&Sprak=no&sortBy=date&sortOrder=desc&resultCount=30&offset=210&ProgAkt.3=HAVBRUK2-Stort+program+for+havbruksforskning
Summary The main purpose with new smart integrated sensor technology made by the combination of biotechnology, nanotechnology, information and communications technology is to secure optimal research possibilities and automatic on-line molecular control of health within aquaculture systems. This innovative Norwegian technology will not only secure socially, economically and environmentally sustainable growth in the Norwegian aquaculture industry, but it will allow for the rapid increase in the production of new species lower in the food chain. This Norwegian point-of-care nucleic acid diagnostics (POCNAD) that has been developed, supported by a number of NFR and EC projects, is ready to be further developed and explored in order to generate more knowledge, research data and sustainable operations generating and using automatic on-line good fish health and welfare related technology.
The production potential of Atlantic salmon in Norway and USA is influenced by a large number of variables that may be best controlled if it is possible to follow a representative enough samples collected randomly from fish that are still alive inside the production plant. The most optimal or objective way to follow stress or well-being of a fish is to be able to automatically analyze in-vitro different molecular changes within representative samples. These samples may be evaluated one by one or it may be pooled together from several fish followed an automatic random collection of samples. This may secure a more sustainable use of this kind of technology.
Keywords
Fish health;
Fish;
Technology;
Disease;
Land-based aquaculture;
Biosensors;
Salmon;
Marine Region
76
Not associated to marine areas
0
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