Objective
Biohybrid MicroRobots (BMRs) are conceptual microscopic robotic devices that combine synthetic and biological components and can be remote controlled to a specific destination, attach to a target and perform a bespoke biochemical operation at nanoscale precision. Within the 5-year Microrobots project, I intend to develop innovative BMRs by combining magnetic swimmers (MSs) with prokaryotic S-layers (SLs). MSs are microscopic devices that consist of two flexibly linked metallic beads with different magnetic properties and can be remote controlled through liquid media, simply by applying oscillating magnetic fields. SLs are highly stable 2-dimensional protein arrays that form resilient cell wall components in archaea and bacteria and can be genetically modified and reassembled on inorganic surfaces. I will introduce affinity tags into selected archaeal and bacterial SLs and reassemble them on the surfaces of MSs. This will coat MSs with unique affinity matrices, on which bioactive molecules can be conjugated at regular arrays, high density and defined distance. Through this strategy, I will generate BMRs that can be equipped with any bioactive functionality provided by nature, such as adhesive filaments, enzymes, antibodies, reporters, drug cargo or any other thinkable functional molecule. The BMRs that I will develop will elegantly miniaturise robotics and enable us to deliver bioactivity at nanometre precision. This will provide a revolutionary platform technology that will be applicable in a plethora of fields, such as medicine, nanotechnology, environmental engineering or scientific exploration and generate a real step change in the ways in which we build new materials, engineer our environment, fight disease and explore the universe in the 21st century.
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.
- natural sciencesbiological sciencesmicrobiologybacteriology
- engineering and technologynanotechnology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsenzymes
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Programme(s)
Topic(s)
Funding Scheme
ERC-STG - Starting GrantHost institution
EX4 4QJ Exeter
United Kingdom