, Volume 67, Supplement 1, pp 123–127 | Cite as

Chromatographic Behavior of Fosinopril Sodium and Fosinoprilat Using Neural Networks

  • Jančić Biljana
  • Medenica Mirjana
  • Ivanović Darko
  • Malenović Anđelija
  • Popović Igor
Limited Short Communication


In this paper, the chromatographic characterization of fosinopril sodium and fosinoprilat is presented. The first stept was pK a determination for the active substance and its degradation product using RP-LC. It was followed by optimization employing the combination of experimental design and artificial neural networks. For the definition of input and output variables, the central composite design for three factors was built. Back propagation algorithm was applied to model the system, and then the optimization of the experimental conditions was carried out in the neural network with 3-8-2 structure, which confirmed to be able to provide the maximum performance. From the method optimization, the most appropriate experimental conditions for fosinopril sodium and fosinoprilat analysis were extracted. The optimized method was validated and applied in the quality control of tablets and for forced degradation studies.


Column liquid chromatography Experimental design-artificial neural networks Forced degradation studies Fosinoprilat 



The authors thank the Ministry of Science for supporting these investigations in Project 142077G.


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Copyright information

© Friedr. Vieweg & Sohn Verlag/GWV Fachverlage GmbH 2008

Authors and Affiliations

  • Jančić Biljana
    • 1
  • Medenica Mirjana
    • 2
  • Ivanović Darko
    • 1
  • Malenović Anđelija
    • 1
  • Popović Igor
    • 3
  1. 1.Faculty of PharmacyInstitute of Drug AnalysisBelgradeSerbia
  2. 2.Faculty of PharmacyInstitute of Physical ChemistryBelgradeSerbia
  3. 3.Medicines and Medical Devices Agency of SerbiaBelgradeSerbia

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