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Nonregular Nanosystems pp 309–335Cite as

Nanosensor Systems Simulations

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Part of the book series: Lecture Notes in Nanoscale Science and Technology ((LNNST,volume 26))

Abstract

The chapter presents functionalized CNT and GNR nanostructures as the basis for the creation of physical, chemical and biochemical nanosensors. We have shown in our simulations the sensitivity of electron conductivity of FET-type nanodevices (based on CNTs and GNRs) to local doping by nitrogen and boron. This phenomenon provides the prospective of creating nanosensors.

We develop bio-nanosensors based on polymer nanotracks with various enzymes (e.g. a glucose biosensor based on the enzyme glucose oxidase (GOx) covalently linked to nanopores of etched nuclear track membranes), which provide the corresponding biocatalytic reactions and give reliably controlled ion currents. We have obtained theoretical calibration dependences using simulation of chemical kinetics glucose oxidation with GOx. Providing a proper description of electric responses in nanosensoring systems, we aim to demonstrate the implementation of advanced simulation models suitable for real-time control nanosystems. We consider the prospects and prototypes of the bio-nanosensor models providing the comparisons with experimental calibration dependences. We also consider models of temperature and pressure nanosensors based on nanocarbon composites. Fragments of nanocarbon inclusions with different morphologies presenting a disordered system are regarded suitable for the model of nanocomposite materials based on the carbon nanoсluster suspension in dielectric polymer environments (e.g. epoxy resins). The comparison with experimental data demonstrates the validity of the developed nanosensor model.

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Author information

Authors and Affiliations

  1. Institute of Solid State Physics, University of Latvia, Riga, Latvia

    Yuri Shunin

  2. Frascati National Laboratory, National Institute of Nuclear Physics, Frascati, Italy

    Stefano Bellucci

  3. Faculty of Physics, Vilnius University, Vilnius, Lithuania

    Alytis Gruodis

  4. Faculty of Mechanical Engineering, Riga Technical University, Riga, Latvia

    Tamara Lobanova-Shunina

Authors
  1. Yuri Shunin
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  2. Stefano Bellucci
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  3. Alytis Gruodis
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  4. Tamara Lobanova-Shunina
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Shunin, Y., Bellucci, S., Gruodis, A., Lobanova-Shunina, T. (2018). Nanosensor Systems Simulations. In: Nonregular Nanosystems. Lecture Notes in Nanoscale Science and Technology, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-319-69167-1_10

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