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Multivariate processing of atomic-force microscopy images for detection of the response of plasticized polymeric membranes

  • Macromolecular Compounds and Polymeric Materials
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Abstract

The possibility of using the atomic-force microscopy as a method for detection of the analytical signal from plasticized polymeric sensor membranes was analyzed. The surfaces of cadmium-selective membranes based on two polymeric matrices were examined. The digital images were processed with multivariate image analysis techniques. A correlation was found between the surface profile of an ion-selective membrane and the concentration of the ion in solution.

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Authors and Affiliations

  1. St. Petersburg State University, Universitetskaya nab. 7, St. Petersburg, 199034, Russia

    M. M. Khaydukova, O. A. Zadorozhnaya, D. O. Kirsanov, Yu. G. Vlasov & A. V. Legin

  2. St. Petersburg National Research University of Information Technologies, Mechanics, and Optics, Kronverkskii pr. 49, St. Petersburg, 197101, Russia

    M. M. Khaydukova, O. A. Zadorozhnaya, D. O. Kirsanov, V. A. Babain & A. V. Legin

  3. Institute for Nano and Biotechnologies, Aachen University of Applied Sciences, Aachen, Germany

    H. Iken, D. Rolka & M. Schöning

  4. Khlopin Radium Institute, Vtoroi Murinskii pr. 28, St. Petersburg, 194021, Russia

    V. A. Babain

Authors
  1. M. M. Khaydukova
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  2. O. A. Zadorozhnaya
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  3. D. O. Kirsanov
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  4. H. Iken
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  5. D. Rolka
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  6. M. Schöning
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  7. V. A. Babain
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  8. Yu. G. Vlasov
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  9. A. V. Legin
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Corresponding author

Correspondence to M. M. Khaydukova.

Additional information

Original Russian Text © M.M. Khaydukova, O.A. Zadorozhnaya, D.O. Kirsanov, H. Iken, D. Rolka, M. Schöning, V.A. Babain, Yu.G. Vlasov, A.V. Legin, 2014, published in Zhurnal Prikladnoi Khimii, 2014, Vol. 87, No. 3, pp. 342–349.

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Khaydukova, M.M., Zadorozhnaya, O.A., Kirsanov, D.O. et al. Multivariate processing of atomic-force microscopy images for detection of the response of plasticized polymeric membranes. Russ J Appl Chem 87, 307–314 (2014). https://doi.org/10.1134/S1070427214030112

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  • DOI: https://doi.org/10.1134/S1070427214030112

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