bsuirДоклады БГУИРDoklady BGUIR1729-76482708-0382БГУИР10.35596/1729-7648-2021-19-8-31-34bsuir-3241Research ArticleЭЛЕКТРОНИКА, РАДИОФИЗИКА, РАДИОТЕХНИКА, ИНФОРМАТИКАELECTRONICS, RADIOPHYSICS, RADIOENGINEERING, INFORMATICSInformation-statistical approach to inverse optical problem solution for 3D disperse systems with nano- and micro particlesInformation-statistical approach to inverse optical problem solution for 3D disperse systems with nano- and micro particlesBezrukovaА. G.BezrukovaA. G.

Alexandra Gennadievna Bezrukova – D.Sc., Senior Researcher, Corresponding member of St. Petersburg Academy of Sciences on Strength Problems

195251, Russian Federation, St. Petersburg, Polytekhnicheskaya St., 29.

bezr@pb1097.spb.eduVlasovaO. L.VlasovaO L.

Olga L. Vlasova – D.Sc., Assistant Professor, Director of Graduate School of Biomedical Systems and Technologies in the Institute of Biomedical Systems and Biotechnology 

St. Petersburg

Peter the Great St. Petersburg Polytechnical UniversityPeter the Great St. Petersburg Polytechnical University2021020120221983134Copyright © Bezrukova А.G., Vlasova O.L., 20222022Bezrukova А.G., Vlasova O.L.Bezrukova A.G., Vlasova O.L.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://doklady.bsuir.by/jour/article/view/3241

Multiparameter analysis of simultaneous optical data for 3D disperse systems (consisted from nano- and/or microparticles of different nature) by information-statistical methods can help to estimate the share of different types of particles in mixtures. At the solution of inverse optical problem for unknown poly-component 3D DS, the comparison of measured parameters with the known ones from the set of mono-component 3D DS can help to identify the component content of the system under study. The approach was tested on the biomineral water mixtures of kaolin clay and bacterium coli bacillus with the help of the program based on the information-statistical theory. To solve the impurity optical recognition tasks, the Base of optical data for 3D DS is needed.

Multiparameter analysis of simultaneous optical data for 3D disperse systems (consisted from nano- and/or microparticles of different nature) by information-statistical methods can help to estimate the share of different types of particles in mixtures. At the solution of inverse optical problem for unknown poly-component 3D DS, the comparison of measured parameters with the known ones from the set of mono-component 3D DS can help to identify the component content of the system under study. The approach was tested on the biomineral water mixtures of kaolin clay and bacterium coli bacillus with the help of the program based on the information-statistical theory. To solve the impurity optical recognition tasks, the Base of optical data for 3D DS is needed.

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The authors declare that there are no conflicts of interest present.