Overview



The group of Univ.-Prof. Dr. Frank Rösch, Institute of Nuclear Chemistry, Johannes-Gutenberg-University Mainz, studies both basic nuclear chemistry and applications of radionuclides in lifescience.

The research on radiopharmaceutical chemistry focuses on:

Preparation and separation of medically relevant radionuclides. This refers to classical and newer positron-emitters and also to potential radionuclides for SPECT and endoradiotherapy.

Synthesis of different labelled compounds, are developed for (a) psychiatric and neurological research, (b) for the quantification of peripheral receptor systems of lung, pancreas and tumors and for (c) the diagnosis of tumors and their therapy. It organic synthesis of macroscopic standard compounds and labbeling precursors as well as principially near routy of labelling reactions.

Systematic evaluation of the standard compounds and radioactive compounds in. This refers to pharmacological properties, to cellular studies, in vitro and ex vivo experiments and finally the transfer to the in vivo experiment the laboratory animals. Many projects are performed in close co-operation with groups at the University of Mainz (interdisciplinary work group for PET research).
 

Routine production of qualified radiopharmacenticaly for human PET-studies, which demands the large-scale syntheses of radiopharmaceuticals with self-designed and self-constructed as well as with commercial automated synthesis-moduls, fulfilling the requirements of the pharmacopea.


The research concerning basic radiochemical and nuclear problems focuses on:

preparation and purification of different radionuclides, especially of those which are relevant for medical applications 
radiochemical separation of different radionuclides, in particular using thermochromatography, solid phase extraction and Scillard-Chalmers like processes
development of radionuclide-generators

physico-chemistry studies for species-analytics and on chemical reaction equilibrea using:

electromigration and

  γγ-perturbed angular correlation (PAC)