Oct 18, 2019   10:50 a.m. Lukáš
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Termodynamic study of enantiomer separations by HPLC, correlation studies using artificial neural networks, development of novel analytical methods for determination of biological relevant compounds.

Supervisor: prof. Ing. Jozef Lehotay, DrSc.

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Project description:The set of chromatographic data ? enantioselectivities, retention factors of many organic compounds will be used as a training set and the final artificial neural networks will be used for prediction and optimization of enantioselective separations. Kinetic and thermodynamic aspects of molecular chiral recognition, entalpic and entropic evaluation of chiral separation will be searched. On the bases of elution parameters the most important interaction will be selected.. Novel effective and selective preparation techniques (MSPD and MIP) and their possible combinations will be tested and validated.
Kind of project:VEGA ()
Department:Department of Analytical Chemistry (IAC FCFT)
Project identification:1/2460/05
Project status:Successfully completed
Project start date :01. 01. 2005
Project close date:31. 12. 2007
Number of workers in the project:1
Number of official workers in the project:0