Objective
- To construct an ultrasensitive, compact laser-induced fluorescence (ucLIF) detector for capillary electrophoresis (CE)
- To optimise the instrument for detection of mutations, and validate the new technology by comparison with conventional techniques based on gel electrophoresis
- To reengineer the ucLIF to be integrated with the modular CE apparatus from PRINCE Technologies.
The small sample volumes (nanoL range) analysed by the powerful technique capillary electrophoresis put great demands on the performance of the detector system, and the most sensitive detection is afforded by laser-induced fluorescence (LIF). A ultrasensitive compact LIF-detector will be constructed, based on sheath flow technology and confocal optics. The detector is specifically adapted to the modular CE instrument (PRINCE) from PRINCE Technologies. The instrument will be optimised for the quantitative detection of a)PCR amplification products, b) precolumn hybridisation products c) and for the identification of mutations by primer extension or SSCP. These techniques will in turn will be used for the detection of mutations in enzymes methylenetetrahydrofolate reductase (MTHFR) and cystathionine B-synthase (CBS), which have recently been demonstrated to occur with high frequency in patients with early onset cardiovascular disease and hyperhomocysteinemia. This will form a platform for the validation and demonstration of the potential of the CE-ucLIF technology for the analyses of mutations in the human genom. Finally, the prototype (version 2) will be reengineered to be integrated and interfaced with the PRINCE modular CE apparatus, and the performance of this reconstructed unit will be validated by comparison with the prototype upon which this demonstration was carried out.
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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences genetics mutation
- medical and health sciences clinical medicine cardiology cardiovascular diseases
- natural sciences physical sciences optics
- natural sciences chemical sciences electrochemistry electrophoresis
- natural sciences biological sciences biochemistry biomolecules proteins enzymes
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Coordinator
5021 Bergen
Norway
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