Objective
The AquaMMS project will improve today's SoA by developing a robust and portable miniature mass spectrometer, which will monitor online a wide range of vital water quality parameters simultaneously. AquaMMS will be suitable for use primarily in land-based aquaculture industry, but other markets are also relevant including environmental monitoring sector and the water supply industry. This technology will provide the fish farmer with advance warning of a broad range of potential pollutants, like toxic metals, phosphates, nitrites, nitrates, hydrogen sulphide and geosmins. These pollutants can otherwise inflict chronic stress on the farmed fish resulting in disease outbreaks and/or poor product quality, which means lost profit to the fish farms. Most of these parameters are at present technically challenging to measure accurately on a regular basis and may only be analysed when problems arise on the farm and samples are sent for more comprehensive analysis at external laboratories. Q-technologies (UK) has successfully developed miniature mass spectrometry (MMS) technology for the oil and gas industry, and has seen the need and potential in developing and marketing a similar system for the aquaculture industry. Therefore, they have taken the initiative to propose the AquaMMS project by combining forces with the SMES, Faaltech (Ireland) and BAMO (Germany). Together, these SMEs will form the production and distribution chain of the product post project. Anglesey Aquaculture Ltd (UK) and Telemarks Roye as (Norway) will take part in the project representing the end user community and will act as a test sites for the developed technology. Anglsey Aquaculture and Telemarks Roye will benefit from improved production by using AquaMMS ahead of its competitors. The RTDs, University of Liverpool (UK), Teknologisk Institutt (Norway) and Cork Institute of Technology (Ireland) have been invited to perform the RTD work needed to reach the objectives.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Topic(s)
Call for proposal
FP7-SME-2013
See other projects for this call
Funding Scheme
BSG-SME - Research for SMEsCoordinator
N-0580 OSLO
Norway