Objective
This proposal has been prepared with the help of an exploratory award contract N° BRST-CT97-05-51 and in conformity with the proposal BE-st-3107 accepted in stage 1. This proposal comes within the scope of Industrial And Materials Technologies (Brite-Euram III), Materials and Technologies for Product Innovation , parts 2.2 (subparts 2.2.2.S 2.2.2.M) and 2.3 (subparts 2.3.1.s) of the EC funding workprogramme. The aim of the present project is to realise an Ultra Precise Diffractometer (UPD) based on the association of a Highly Accurate Goniometer (HAG) and a High Resolution x ray Detector (RXD); HAG is made up from an innovative technology based upon the association of capacitance based sensors and piezoelectric materials as actuators. UPDs are required in the field of structural biology, a major area of research with important implications in the progress of molecular and cell biology, as well as in biotechnological applications such as pharmaceutical drug design and the production of modified enzymes used in industrial processes. The prime market strategy is therefore directed towards accurate instrumentation for laboratories performing diffraction experiments in the fields of material science and structural biology, notably protein crystal determination. The research programme involved here concerns the mechanics, electronics and software design, development, adjustment and qualification through a set of laboratory trials. The goniometer will be fitted with an encoder and an electrical motor. A learning machine and a calibration protocol will be elaborated and implemented to improve the precision of the mechanics and a set of laboratory trials will be planned to measure goniometer geometrical distortions. As project accomplishment, the UPD will be installed on a microfocus synchrotron beamline to demonstrate its utility in the collection of x-ray diffraction data from protein microcrystal.
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.
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugs
- medical and health sciencesbasic medicinemedicinal chemistry
- engineering and technologymechanical engineeringmechatronics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological sciencesmolecular biologystructural biology
You need to log in or register to use this function
Call for proposal
Data not availableFunding Scheme
CRS - Cooperative research contractsCoordinator
4683 Vigegnis
Belgium