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Potentiometric sensor arrays for the individual determination of penicillin class antibiotics using artificial neural networks

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Abstract

Arrays of potentiometric sensors with plasticized polymer membranes based on tetraalkylammonium organic ion exchanges with anions of penicillin class antibiotics (benzylpenicillin, ampicillin, oxacillin, and amoxicillin) have been proposed for the individual determination of antibiotics in model mixtures and pharmaceutical preparations. The following cross-sensitivity parameters of sensors have been estimated: the average slope of the electrode function (54 < S av < 61), the nonselectivity factor (2.8 < F < 74.6), and the reproducibility factor (31.9 < K < 61.2). Artificial neural networks have been applied to the treatment of analytical signals from the multisensor system in the concentration range 2.5 × 10−4–1 × 10−1 M. The average error of the individual determination of penicillin class antibiotics is 5–7%.

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References

  1. Yakovlev, V.P. and Yakovlev, S.V., Ratsional’naya antimikrobnaya farmakoterapiya (Rational Antimicrobial Pharmacotherapy), Moscow: Litterra, 2007.

    Google Scholar 

  2. Gostishchev, V.K., Evseev, M.A., and Izotova, G.N., Russk. med. zhurn., 2006, vol. 14, no. 4, p. 3.

    Google Scholar 

  3. Sokolova, L.I. and Chernyaev, A.P., Zhurn. anal. khim., 2001, vol. 56, no. 11, p. 1177 [J. Anal. Chem. (Engl. Transl.), vol. 56, no. 11, p. 1032].

    Google Scholar 

  4. Benito-Peo, E., Partal-Rodera, A.I., Leonzoz, M.E., et al., Anal. Chim. Acta, 2006, vol. 556, no. 2, p. 415.

    Article  CAS  Google Scholar 

  5. Akhmad, A.S., Rakhman, N., and Islam, F., Zhurn. anal. khim., 2004, vol. 59, no. 2, p. 138 [J. Anal. Chem. (Engl. Transl.), vol. 59, no. 2, p. 119].

    Google Scholar 

  6. Krasnikova, A.V. and Iozep, A.A., Khim-farm. zhurn., 2003, vol. 37, no. 9.

  7. El Walily, M., Gazy, A., and Belal, S., Spectroscop. Lett., 2000, vol. 33, no. 6, p. 931.

    Article  Google Scholar 

  8. Xiao, Y., Wang, H.Y., and Han, J., Spectrochim. Acta, 2005, vol. 61, no. 4, p. 567.

    Article  CAS  Google Scholar 

  9. Santos, E.M.G., Arau’jo, A.N., Couto, C.M.C.M., et al., J. Pharm. Biomed. Anal., 2004, vol. 36, no. 4, p. 701.

    Article  CAS  Google Scholar 

  10. Kulapina, E.G., Baraguzina, V.V., and Kulapina, O.I., Zhurn. anal. khim., 2004, vol. 59, no. 9, p. 971 [J. Anal. Chem. (Engl. Transl.), vol. 59, no. 9, p. 875].

    Google Scholar 

  11. Shvedene, N.V. and Borovskaya, S.V., Zhurn. anal. khim., 2003, vol. 58, no. 11, p. 1208 [J. Anal. Chem. (Engl. Transl.), vol. 58, no. 11, p. 1085].

    Google Scholar 

  12. Kulapina, E.G., Barinova, O.V., Kulapina, O.I., Utts, I.A., and Snesarev, S.V., Antibiot. khimioter., 2009, nos. 9–10, p. 53.

  13. Turner, C., Rudnitskaya, A., and Legin, A., J. Biotechnol., 2003, vol. 103, p. 87.

    CAS  Google Scholar 

  14. Vlasov, Yu.G., Legin, A.V., and Rudnitskaya, A.M., Ross. khim. zhurn., 2008, vol. 7, no. 2, p. 101.

    Google Scholar 

  15. Kulapina, E.G., Mikhaleva, N.M., and Shmakov, S.L., Zhurn. anal. khim., 2004, vol. 59, no. 5, p. 547 [J. Anal. Chem. (Engl. Transl.), vol. 59, no. 5, p. 487].

    Google Scholar 

  16. Mikhaleva, N.M. and Kulapina, E.G., Zhurn. anal. khim., 2005, vol. 60, no. 6, p. 646 [J. Anal. Chem. (Engl. Transl.), vol. 60, no. 6, p. 573].

    Google Scholar 

  17. Alekseev, V.G. and Volkova, I.A., Zhurn. obshch. khim., 2003, vol. 73, no. 10, p. 1709 [Russ. J. Gen. Chem. (Engl. Transl.), vol. 73, no. 10, p. 1616].

    Google Scholar 

  18. Legin, A., Vlasov, Yu., Rudnitskaya, A., and Bychkov, E., Sens. Actuators B, 1996, vol. 34, p. 456.

    Article  Google Scholar 

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Original Russian Text © E.G. Kulapina, S.V. Snesarev, N.M. Makarova, E.S. Pogorelova, 2011, published in Zhurnal Analiticheskoi Khimii, 2011, Vol. 66, No. 1, pp. 82–87.

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Kulapina, E.G., Snesarev, S.V., Makarova, N.M. et al. Potentiometric sensor arrays for the individual determination of penicillin class antibiotics using artificial neural networks. J Anal Chem 66, 78–83 (2011). https://doi.org/10.1134/S1061934811010084

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  • DOI: https://doi.org/10.1134/S1061934811010084

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