Daniil Stupin

Mr. Daniil Stupin


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 March 2021 in ACS Biomaterials Science & Engineering
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Journal Article
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DSDaniil Stupin
Daniil Stupin
EKEkaterina A. Kuzina
Ekaterina A. Kuzina
AAAnna A. Abelit
Anna A. Abelit
AEAnton K. Emelyanov
Anton K. Emelyanov
DNDmitrii M. Nikolaev
Dmitrii M. Nikolaev
MDMichael V. Dubina
Michael V. Dubina

30 May 2017 in Physical Review Applied
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Journal Article
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DSDaniil Stupin
Daniil Stupin
SKSergei V. Koniakhin
Sergei V. Koniakhin
NVNikolay Verlov
Nikolay Verlov
MDMichael Dubina
Michael Dubina
The time-domain technique for impedance spectroscopy consists of computing the excitation voltage and current response Fourier images by fast or discrete Fourier transformation and calculating their relation. Here we propose an alternative method for excitation voltage and current response processing for deriving a system impedance spectrum based on a fast and flexible adaptive filtering method. We show the equivalence between the problem of adaptive filter learning and deriving the system impedance spectrum. To be specific, we express the impedance via the adaptive filter weight coefficients. The noise-canceling property of adaptive filtering is also justified. Using the RLC circuit as a model system, we experimentally show that adaptive filtering yields correct admittance spectra and elements ratings in the high-noise conditions when the Fourier-transform technique fails. Providing the additional sensitivity of impedance spectroscopy, adaptive filtering can be applied to otherwise impossible-to-interpret time-domain impedance data. The advantages of adaptive filtering are justified with practical living-cell impedance measurements.

14 July 2022 in Biosensors
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Journal Article
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DSDaniil Stupin
Daniil Stupin
AAAnna Abelit
Anna Abelit
AMAndrey Mereshchenko
Andrey Mereshchenko
MPMaxim Panov
Maxim Panov
Mikhail N RyazantsevMikhail N Ryazantsev
Mikhail N Ryazantsev
Copper is an inexpensive material that has found wide application in electronics due to its remarkable electric properties. However, the high toxicity of both copper and copper oxide imposes restrictions on the application of this metal as a material for bioelectronics. One way to increase the biocompatibility of pure copper while keeping its remarkable properties is to use copper-based composites. In the present study, we explored a new copper–ruthenium composite as a potential biocompatible material for bioelectrodes. Sample electrodes were obtained by subsequent laser deposition of copper and ruthenium on glass plates from a solution containing salts of these metals. The fabricated Cu–Ru electrodes exhibit high effective area and their impedance properties can be described by simple R-CPE equivalent circuits that make them perspective for sensing applications. Finally, we designed a simple impedance cell-based biosensor using this material that allows us to distinguish between dead and alive HeLa cells.

17 April 2018 in Semiconductors
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DSDaniil Stupin
Daniil Stupin
Here we demonstrate a simple label-free bio-electronic radiation (ultra-violet) hazard detector based on non-destructive electrical impedance spectroscopy technique with a single living cell as a...

23 November 2017 in Journal of Physics: Conference Series
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DSDaniil Stupin
Daniil Stupin
Here we propose a simple label-free bio-electronic toxin detector based on nondestructive impedance spectroscopy (IS) method with a single living cell as a sensing element. The toxins distort cell membrane, which significantly affects on the impedance level of an electrode, which covered by a cell. This effect could be used for toxin detection. We believe that our bio-sensor will open a new roadmap in water purity purposes and will save many a one lives.

25 September 2018 in Technical Physics
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DSDaniil Stupin
Daniil Stupin
In the present study, we investigate the sensitivity and applicability of the time-domain electrical impedance spectroscopy (EIS) techniques, namely Fourier-EIS and adaptive filtering based...