Theory and modelling of real-time physical and bio- nanosensor systems
Yu Shunin1, 2, D Fink2, A Kiv3, L Alfonta3, A Mansharipova4, R Muhamediyev4, Yu Zhukovskii1, T Lobanova-Shunina5, N Burlutskaya6, V Gopeyenko6, S Bellucci7
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(4) 7-17
1Institute of Solid State Physics, University of Latvia, Kengaraga Str. 8, LV-1063 Riga, Latvia
2Departamento de Fisica, Universidad Autónoma Metropolitana-Iztapalapa, PO Box 55-534, 09340 México, D.F., México
3Ben-Gurion University, PO Box 653, Beer-Sheva 84105, Israel
4Almaty University, Kazakhstan
5Riga Technical University, Faculty of Mechanical Engineering, Transport and Aeronautics, Latvia
6ISMA University, 1 Lomonosova Str., Bld 6, LV-1019, Riga, Latvia
7INFN-Laboratori Nazionali di Frascati, Via Enrico Fermi 40, I-00044, Frascati-Rome, Italy
Our research pursues two important directions of real-time control nanosystems addressed to ecological monitoring and medical applications. We develop physical nanosensors (pressure and temperature) based on functionalized CNTs and GNRs nanostructures. The model of nanocomposite materials based on carbon nanoсluster suspension in dielectric polymer environments (epoxy resins) is regarded as a disordered system of fragments of nanocarbon inclusions with different morphologies. Using the effective media cluster approach, disordered systems theory and conductivity mechanisms analysis we have formulated the approach of conductivity calculations for carbon-based polymer nanocomposites and obtained the calibration dependences. We also develop bio-nanosensors based on polymer nanotracks with various enzymes, which provide the corresponding biocatalytic reactions and give reliably controlled ion currents. Particularly, we describe a glucose biosensor based on the enzyme glucose oxidase (GOx) covalently linked to nanopores of etched nuclear track membranes. Using simulation of chemical kinetics glucose oxidation with GOx, we have obtained theoretical calibration dependences. Our objective is to demonstrate the implementation of advanced simulation models providing a proper description of electric responses in nanosensoring systems suitable for real time control nanosystems. Comparisons with experimental calibration dependences are discussed. Prospective ways of developing the proposed physical and bio- nanosensor models and prototypes are considered.