A plug-and-play photonic biosensor platform for use in aquaculture
PHOTO-SENS
A plug-and-play photonic biosensor platform for use in aquaculture
about PHOTO-SENS
Background
The project
The project
Zero hunger is the leading Sustainable Development Goal of the UN’s 2030 Agenda to eliminate hunger and malnutrition and ensure access to safe, healthful and sufficient food.
While aquaculture is one of the most efficient food sources, it relies on controlled aquatic environments that must be kept in healthy conditions. As a consequence, t
Zero hunger is the leading Sustainable Development Goal of the UN’s 2030 Agenda to eliminate hunger and malnutrition and ensure access to safe, healthful and sufficient food.
While aquaculture is one of the most efficient food sources, it relies on controlled aquatic environments that must be kept in healthy conditions. As a consequence, the fish living environment must be monitored continuously with advanced biosensing.
The project
The project
The project
PHOTO-SENS will connect pioneering photonic biosensor technology and scaling-up procedures with aquaculture expertise to establish an aquaculture pathogen detection hub and a working prototype system for monitoring salmon pathogens.
PHOTO-SENS builds upon the results achieved in the project BIOCDx, which signifcantly advanced the state of
PHOTO-SENS will connect pioneering photonic biosensor technology and scaling-up procedures with aquaculture expertise to establish an aquaculture pathogen detection hub and a working prototype system for monitoring salmon pathogens.
PHOTO-SENS builds upon the results achieved in the project BIOCDx, which signifcantly advanced the state of the art and delivered a proof of principle prototype. However, due to lack of scalability, the overall costs of the biosensor remained very high.
The principal aim of PHOTO–SENS is to reduce the costs by investigating the scalable production of this technology, and to validate the prototype with an end–user in the aquaculture market.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 965643.
