Objective
GRADERINK addresses the pressing need for development of novel inks that can be utilized for inkjet printing of stable, selective, sensitive, and eco-friendly electrodes. Project aims to deliver the upscaling of an industrially relevant novel manufacturing process for graphene-derivative based ink, enabling a significant progress in the printing technologies for versatile electrochemical biosensing platform. Such platform can be utilized for a wide range of medicinally, environmentally and food/water-safety related analytes, such as microbes, antibiotics, pesticides, disease markers, just to name a few.
The maintenance of a healthy society necessitates not only monitoring human body status but also screening food, drinking water, air, and environment. Such monitoring requires immediate, on-site, and easy-to-read sensing technologies. Electrochemical biosensors represent an ideal sensing platform because they transduce a specific biochemical event to an electrical signal, which can be readily recorded and processed. The key component of electrochemical biosensors is the electrode, which is used as a solid support for the immobilization of biomolecules and electron movement. Graphene-based materials are ideally suitable for the construction of electrochemical biosensor electrodes because they offer high surface area, unique electrochemical properties, and high biocompatibility.
However, graphene itself enables only limited applications and the patterning of graphene-based electrodes remains unsolved challenge. Digital printing technologies represent a novel strategy for patterning of electrodes. Their use, however, requires stable, robust and sustainable inks which are not yet commercially available.
GRADERINK’s goal will be achieved through the implementation of cost-effective materials and processes along with taking TRL of the developed technology from 2 to 4, thus shaping a significant business opportunity.
Fields of science (EuroSciVoc)
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 technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsbiosensors
- engineering and technologymechanical engineeringmanufacturing engineering
- engineering and technologyenvironmental engineeringwater treatment processesdrinking water treatment processes
- engineering and technologyenvironmental biotechnologybiosensing
- engineering and technologynanotechnologynano-materialstwo-dimensional nanostructuresgraphene
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Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Funding Scheme
HORIZON-ERC-POC - HORIZON ERC Proof of Concept GrantsHost institution
771 47 Olomouc
Czechia