Objective In biological systems, functions involving molecular recognition are crucial since key interactions in the body, such as protein-ligand and protein-protein interactions, depend on molecular binding events (e.g. hydrogen-bonding, π -stacking, and electrostatic interactions). Nanoparticles with molecular recognition properties found promising applications in biotechnology due to the advantages that the nanoscale offers, such as clear optical signatures and a high surface area-to-volume ratio. Nanoparticles exhibit size, shape, chemistry-dependent properties. Current nanoparticle synthesis methods produce heterogeneous populations. There is a need for a cost-effective and easy-to-use method which can enrich the populations of nanoparticles based on size, shape and chemistry. In this proposal, we will present such a toolbox to enable this kind of separations, use the enriched populations of nanoparticles in technological and scientific applications, and carry out nanotoxicology studies correlating the response of living systems to the exposure of homogeneous nanoparticles. Fields of science natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomicsengineering and technologynanotechnologynano-materials Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) FP7-PEOPLE-2012-CIG - Marie-Curie Action: "Career Integration Grants" Call for proposal FP7-PEOPLE-2012-CIG See other projects for this call Funding Scheme MC-CIG - Support for training and career development of researcher (CIG) Coordinator SABANCI UNIVERSITESI EU contribution € 75 000,00 Address ORTA MAHALLE UNIVERSITE CADDESI N 27 TUZLA 34956 Istanbul Türkiye See on map Region İstanbul İstanbul İstanbul Activity type Higher or Secondary Education Establishments Administrative Contact Aslıhan Eran (Mrs.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data