DeDNAed featured in Spanish Perspectivas AseBio
The DeDNAed biosensor platform will be used to detect biomolecules, enabling the detection of food toxins or disease biomarkers.
The DeDNAed biosensor platform will be used to detect biomolecules, enabling the detection of food toxins or disease biomarkers.
The DeDNAed biosensor platform will be used to detect biomolecules, enabling the detection of food toxins or disease biomarkers.
KSI Meinsberg, partner in DeDNAed, makes DNA origami and DNA origami hybrid structures for partners’ labs to measure.
In addition to coordinating the DeDNAed project, TU Chemnitz leads the âIntegration of DNA origami hybridsâ and âTransfer to flexible substrates and biosafetyâ. They are a bridge between the nanocomponents.
In addition to coordinating the DeDNAed project, TU Chemnitz leads the âIntegration of DNA origami hybridsâ and âTransfer to flexible substrates and biosafetyâ. They are a bridge between the nanocomponents.
DeDNAed partner BNN generates a Safe-by-Design (SbD) concept for the sensor platform. In addition, BNN manages the communication and dissemination activities for the H2020 project.
DeDNAed partner TECNALIA is working with antibodies decorated with nanoclusters as well as nanobodies. They also lead the exploitation of the project.
The Institute of Molecules and Materials of Le Mans (IMMM) is in charge of the characterization of the optical and plasmonic properties of the nanostructures included in the bioanalytical platform. It also determines the SERS efficiency and the sensing performances of the platform. Finally, it is involved in the validation of the sensor for food and biomedical applications.
DeDNAed partner CIC biomaGUNE is responsible for design, synthesis, and characterization of different sensing biorecognition elements (antibodies and DNA aptamers) in pure state and modified with metallic and semiconductor atomic clusters. They also design, synthesize, and provide metallic nanoparticles of different size and shape as amplifiers of optical read out signals.