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Chromatographic Behavior of Fosinopril Sodium and Fosinoprilat Using Neural Networks

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Abstract

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.

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Acknowledgments

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

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Authors and Affiliations

  1. Faculty of Pharmacy, Institute of Drug Analysis, Vojvode Stepe 450, Belgrade, Serbia

    Jančić Biljana, Ivanović Darko & Malenović Anđelija

  2. Faculty of Pharmacy, Institute of Physical Chemistry, Vojvode Stepe 450, 11000, Belgrade, Serbia

    Medenica Mirjana

  3. Medicines and Medical Devices Agency of Serbia, Vojvode Stepe 458, 11000, Belgrade, Serbia

    Popović Igor

Authors
  1. Jančić Biljana
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  2. Medenica Mirjana
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  3. Ivanović Darko
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  4. Malenović Anđelija
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  5. Popović Igor
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Correspondence to Medenica Mirjana.

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Biljana, J., Mirjana, M., Darko, I. et al. Chromatographic Behavior of Fosinopril Sodium and Fosinoprilat Using Neural Networks. Chroma 67 (Suppl 1), 123–127 (2008). https://doi.org/10.1365/s10337-008-0575-9

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  • DOI: https://doi.org/10.1365/s10337-008-0575-9

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