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Modeling calibration functions for the technologies of system analysis of quality and certification of biomaterials

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Abstract

Possibilities are considered of using the modern methods of computer modeling for the technologies of system analysis of quality and certification of biomaterials. The practical methods and algorithms are described to calculate the adequate calibration models from a collection of the standard samples based on the application of the international standard ISO 11095. Applications of numerical simulation methods are investigated for construction of calibration functions under variation of the initial data concerning standard samples within the intervals of their attested values. It is shown that the proposed technology of finding the optimal calibration from a collection of adequate models allows us to improve the precision of the ecoanalytical measurements of the composition of toxic micro-impurities in biomedia.

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Authors and Affiliations

  1. Siberian Branch of the International Institute of Nonlinear Research, Russian Academy of Sciences, pr. Akad. Koptyuga 1, Novosibirsk, 630090, Russia

    E. V. Akinina & G. I. Smirnov

  2. Surgut State University, ul. Energetikov 14, Surgut, 628412, Russia

    S. S. Bednarzhevskii, A. G. Nazin & N. G. Shevchenko

  3. Sobolev Institute of Mathematics, pr. Akad. Koptyuga 4, Novosibirsk, 630090, Russia

    V. P. Golubyatnikov

Authors
  1. E. V. Akinina
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  2. S. S. Bednarzhevskii
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  3. V. P. Golubyatnikov
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  4. A. G. Nazin
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  5. G. I. Smirnov
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  6. N. G. Shevchenko
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Corresponding author

Correspondence to V. P. Golubyatnikov.

Additional information

Original Russian Text © E.V. Akinina, S.S. Bednarzhevskii, V.P. Golubyatnikov, A.G. Nazin, G.I. Smirnov, N.G. Shevchenko, 2005, published in Sibirskii Zhurnal Industrial’noi Matematiki, 2005, Vol. VIII, No. 3(23), pp. 3–7.

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Akinina, E.V., Bednarzhevskii, S.S., Golubyatnikov, V.P. et al. Modeling calibration functions for the technologies of system analysis of quality and certification of biomaterials. J. Appl. Ind. Math. 1, 406–409 (2007). https://doi.org/10.1134/S1990478907040023

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  • DOI: https://doi.org/10.1134/S1990478907040023

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