Objective
Waterborne bacteria are an extremely dangerous source of infection. Water of poor quality can cause disease outbreaks (80% of gastrointestinal infectious and parasitic diseases and a third of the deaths caused by those infections, are due to the use and consumption of contaminated water) and affects human health in two ways:
• Direct consumption (drinking and inhaling)
• Indirect, by contaminating production, industrial and public service sectors
Water is used in many different facilities (cattle trough, refrigeration towers, food industry…) and different treatments (physical, chemical and biological) are used to remove bacteria and clean the water. However, there is a lack in the performance of these methods, because controlling of bacteria is not enough. Studies have demonstrated that amoebae can also be found in water, a protozoa that can be host of bacteria and capable of colonising water networks, which represents a terrible health risk, causing important economic losses to companies and administrations, and even human deaths.
The general objective of the project is to commercialise a water sanitation system (OX-SIHA) that guarantees the total disinfection of water. The system will be comprised of:
• In-situ sampling system to detect amoebae in water environments by the polymerase chain reaction (PCR) method.
• A biocidal formulate, capable of eliminating all pathogenic microorganisms in any kind of waters.
• A joint biocidal-catalyst system, permitting a total absence of toxic by-products, making the formula environmentally friendly.
• An automatic remote water management system, a software that will manage data processing, statistics analysis, product dosage and alerts.
• An accurate biocidal dosage system.
OX-SIHA offers the possibility of being commercialised by modules that will ease its uptake by the end users, as the system is designed to be adapted to the needs and business size of any client.
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.
- engineering and technologymechanical engineeringmanufacturing engineering
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- natural sciencesbiological sciencesmicrobiologybacteriology
- engineering and technologymechanical engineeringthermodynamic engineering
- engineering and technologyenvironmental engineeringnatural resources managementwater management
Programme(s)
Funding Scheme
SME-2 - SME instrument phase 2Coordinator
22197 CUARTE HUESCA
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.