Cite this article as:

Kulapina E. G., Dubasova A. Е., Kulapina O. I., Ankina V. D. “Electronic tongue” multi-systems for the separate determination of cefotaxime and cefazoline. Izvestiya of Saratov University. Chemistry. Biology. Ecology, 2021, vol. 21, iss. 1, pp. 4-11. DOI: https://doi.org/10.18500/1816-9775-2021-21-1-4-11


This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Heading: 
UDC: 
543.615.33
Language: 
Russian

“Electronic tongue” multi-systems for the separate determination of cefotaxime and cefazoline

Тип статьи для РИНЦ: 
RAR научная статья
Abstract

. Electroanalytical properties of unmodified and modified by polyaniline and by CuO nanoparticles solid-contact potentiometric sensors which are based on associates of tetradecylammonium with complex compounds of silver (I) with cephuroxime, cephotaxime and cephazoline Ag(β-lac)2TDA in solutions of corresponding antibiotics were studied. It was revealed that Ag(β-lac)2TDA –based sensors had no specificity to the basic ion but showed sensitivity to other cephalosporins. Taking into account the potentiometric selectivity coefficients and cross-sensitivity parameters of sensors based on different electrode-active components, their use for creating «electronic tongue» multi-sensor systems was shown. Arrays of low-selective potentiometric sensors were created for separate determination of cephazoline and cephotaxime in two-component model mixtures at concentration intervals of 2,5·10-4 – 0,01 М. The method of artificial neural networks was used for processing analytical signals (the relative error of determination not exceeding 13%). 

References
  1. Legin A. V., Rudnitskaya A. M., Vlasov Yu. G. “Electronic Tongue” – chemical sensor systems for analysis of water media. Problems of Analytical Chemistry, 2011, vol. 14, pp. 79–126 (in Russian).
  2. Kulapina E. G., Makarova N. M. Mul’tisensornyye sistemy v analize zhidkikh i gazovykh ob”yektov [Multisensor systems in analysis of liquid and gas objects]. Saratov, ITs “Nauka” Publ., 2010. 165 p. (in Russian).
  3. Wesoly M., Ciosek – Skibinska P. Comparison of various data analysis techniques applied for the classifi cation of pharmaceutical samples by electronic tongue. Sens. Actuators. B, 2018, vol. 267, pp. 570–580.
  4. Saidi T., Moufi d M., Zaim O., Bari N. E., Bouchikhi B. Voltammetric electronic tongue combined with chemometric techniques for direct identifi cation of creatinine level in human urine. Measurement, 2018, vol. 115, pp. 178–184.
  5. Wesoly M., Cal K., Ciosek P., Wroblewski W. Infl uence of dissolution-modifying excipients in various pharmaceutical formulations on electronic tongue results. Talanta, 2017, vol. 162, pp. 203–209.
  6. Wesoly M., Zabadaj M., Amelian A., Winnicka K., Wroblewski W., Ciosek P. Tasting cetirizine-based microspheres with an electronic tongue. Sens. Actuators. B, 2017, vol. 238, pp. 1190–1198.
  7. Lenik J., Wesoly M., Ciosek P., Wroblewski W. Evaluation of taste masking effect of diclofenac using sweeteners and cyclodextrin by a potentiometric electronic tongue. J. Electroanal. Chem., 2016, vol. 780, pp. 153–159.
  8. Wei Zh., Wang J. Detection of antibiotic residues in bovine milk by a voltammetric electronic tongue system. Anal. Chim. Acta., 2011, vol. 694, pp. 46–56.
  9. Zil’berg R. A., Sidelnikov A. V., Yarkayeva Yu. A., Kabirov L. R., Maistrenko V. N. Identifi cation of drugs based on bisoprolol using voltammetric “electronic tongue”. Vestnik Bashkir University, 2017, vol. 22, no. 2, pp. 356–363 (in Russian).
  10. Zil’berg R. A., Yarkaeva Y. A., Maksyutova E. I., Sidel’nikov A. V., Maistrenko V. N. Voltammetric iden tifi cation of insulin and its analogues using glassy carbon electrodes modifi ed with polyarylenephthalides. Jour nal of Analytical Chemistry, 2017, vol. 72, no. 4, pp. 402–409 (in Russian).
  11. Mashkovskiy M. D. Lekarstvennye sredstva [Medicinal agents]. Мoscow, Novaya volna Publ., 2006. 1216 p. (in Russian).
  12. Kulapina E. G., Snesarev S. V., Makarova N. M., Pogorelova E. S. Potentiometric sensor arrays for the individual determination of penicillin class antibiotics using artifi cial neural networks. Journal of Analytical Chemistry, 2011, vol. 66, no. 1, pp. 78–83 (in Russian).
  13. Kulapina E. G., Tyutlikova M. S., Kulapina O. I, Dubasova A. E. Solid-contact potentiometric sensors for the determination of some cephalosporin antibiotics in pharmaceuticals and oral fl uid. Journal of Analytical Chemistry, 2019, vol. 74, no. 7, pp. 780–786 (in Russian).
Short text (in English): 
Full text (in Russian):