Objective
The idea of this research project is to take advantage of molecular self-assembly to create a new generation of periodically-organized porous organic materials that, acting as specific molecular hosts, can structurally control the positioning of multiple functional guests on surfaces, opening new horizons toward the understanding and development of rationale protocols for the patterning of unprecedented materials. Taking advantage of a supramolecular approach to engineer extended mono- and two-dimensional organic networks, the ultimate aim of COLORLANDS is to create novel hosting frameworks accommodating in a predetermined fashion organic chromophores and/or fluorophores. For instance, these can be oligophenylenes as blue emitters, cumarines/oligophenylethylenes as green emitters, or perylenebisimides conjugates as red emitters. Depending on their spatial organization, such materials will be the springboard for further technological development in the fields of electroluminescent devices or artificial leafs mimicking natural light harvesting antenna systems. The self-assembly of selected rigid molecular modules alternatively functionalized with complementary connectors (PNA strands) will yield, under equilibrium conditions, one exclusive structural pattern. This will feature controllable (in shape, size and chemical nature) periodic receptor sites, each programmed to selectively accommodate a specific molecular chromophore and/or fluorophore. Particular attention will be given to the design and fundamental understanding of specific orthogonal interactions between the self-assembled receptor sites and the functional molecular guests. This will be achieved through the lateral organic functionalization of the PNA strands with novel orthogonal H-bonding-based recognition motifs. Depending on the ratio between the different receptors, one can tailor the desired emission or absorption colour, virtually enabling unlimited surfing through the color coordinate diagram.
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.
Call for proposal
ERC-2011-StG_20101014
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Funding Scheme
ERC-SG - ERC Starting GrantHost institution
CF24 0DE Cardiff
United Kingdom