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Special Issue "Biennial State-of-the-Art Sensors Technology in Russia 2019-2020"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "State-of-the-Art Sensors Technologies".

Deadline for manuscript submissions: 31 December 2020.

Special Issue Editors

Prof. Dr. Victor Sysoev
Website
Guest Editor
Yuri Gagarin State Technical University of Saratov, Saratov 410054, Russian
Interests: chemiresistor; multisensor array; gas sensor; electronic nose; oxide nanostructures
Special Issues and Collections in MDPI journals
Prof. Dr. Tamara Basova
Website
Guest Editor
Nikolaev Institute of Inorganic Cmemistry, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russian Federation
Interests: optical sensors; chemiresistive sensors; amperometric sensors; gas detection; phthalocyanine thin films
Special Issues and Collections in MDPI journals
Dr. Petr Nikitin
Website
Guest Editor
Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov str., Moscow 119991, Russia
Interests: biosensors; optical sensors; magnetic immunoassay; surface plasmon resonance sensors; nanoparticle-based sensors; logic-gating biosensors; biocomputing

Special Issue Information

Dear Colleagues,

This Special Issue aims to provide an up-to-date and comprehensive view on the state-of-the-art of sensor science and technology in Russia.

Based on long-term traditions of fundamental science in Russia, we would like to provide a comprehensive insight into the state-of-the-art of research activities in the country regarding novel sensor developments and their applications. All kinds of arcticles are welcome, including contributions about original investigations as well as reviews in the field. The covered topics of interest include but are not limited to the following:

  • Chemical sensors;
  • Physical sensors;
  • Biosensors;
  • Optical sensors;
  • Intelligent sensors;
  • Multisensor arrays;
  • Sensor materials;
  • Internet of Things;
  • Remote sensors, control, and telemetry;
  • Application of sensors in automatization systems.
Prof. Victor Sysoev
Prof. Tamara Basova
Dr. Petr Nikitin

Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Gas sensor
  • Chemical sensor
  • Biosensor
  • Optical sensor
  • Physical transducer
  • Multisensor array
  • Material science
  • Sensor application
  • Sensing mechanism

Published Papers (3 papers)

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Research

Open AccessArticle
Drop Drying on the Sensor: One More Way for Comparative Analysis of Liquid Media
Sensors 2020, 20(18), 5266; https://doi.org/10.3390/s20185266 - 15 Sep 2020
Abstract
It is known that the processes of self-organization of the components of drying a liquid drop on a solid substrate are well reproduced under the same external conditions and are determined only by the composition and dispersion of the liquid. If the drop [...] Read more.
It is known that the processes of self-organization of the components of drying a liquid drop on a solid substrate are well reproduced under the same external conditions and are determined only by the composition and dispersion of the liquid. If the drop dries on the surface of the sensor device, these processes can be recorded and used as a passport characteristic of the liquid. The first half of the article is devoted to the description of the principles of the method and the proof of the validity of our assumptions. The second half of the article is devoted to the development of a user-friendly version of the device, where the change in the real and imaginary parts of the electrical impedance of the resonator was used as an informative parameter. The measure of the closeness of the relative positions of the hodographs of the compared samples on the complex plane is used as a criterion for the similarity-/-difference of various liquids. The design of a new sensor device and the results of its tests for distinguishing between different brands of alcoholic beverages and reconstituted milk of different concentrations are presented. Full article
(This article belongs to the Special Issue Biennial State-of-the-Art Sensors Technology in Russia 2019-2020)
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Open AccessArticle
Functional Near-Infrared Spectroscopy for the Classification of Motor-Related Brain Activity on the Sensor-Level
Sensors 2020, 20(8), 2362; https://doi.org/10.3390/s20082362 - 21 Apr 2020
Cited by 7
Abstract
Sensor-level human brain activity is studied during real and imaginary motor execution using functional near-infrared spectroscopy (fNIRS). Blood oxygenation and deoxygenation spatial dynamics exhibit pronounced hemispheric lateralization when performing motor tasks with the left and right hands. This fact allowed us to reveal [...] Read more.
Sensor-level human brain activity is studied during real and imaginary motor execution using functional near-infrared spectroscopy (fNIRS). Blood oxygenation and deoxygenation spatial dynamics exhibit pronounced hemispheric lateralization when performing motor tasks with the left and right hands. This fact allowed us to reveal biomarkers of hemodynamical response of the motor cortex on the motor execution, and use them for designing a sensing method for classification of the type of movement. The recognition accuracy of real movements is close to 100%, while the classification accuracy of imaginary movements is lower but quite high (at the level of 90%). The advantage of the proposed method is its ability to classify real and imaginary movements with sufficiently high efficiency without the need for recalculating parameters. The proposed system can serve as a sensor of motor activity to be used for neurorehabilitation after severe brain injuries, including traumas and strokes. Full article
(This article belongs to the Special Issue Biennial State-of-the-Art Sensors Technology in Russia 2019-2020)
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Open AccessArticle
Vanadyl Phthalocyanine Films and Their Hybrid Structures with Pd Nanoparticles: Structure and Sensing Properties
Sensors 2020, 20(7), 1893; https://doi.org/10.3390/s20071893 - 29 Mar 2020
Cited by 1
Abstract
In this work, thin films of vanadyl phthalocyanines (VOPc and VOPcF4) are studied as active layers for the detection of gaseous ammonia and hydrogen. The effect of F-substituents on the structural features of vanadyl phthalocyanine films and their sensor response toward [...] Read more.
In this work, thin films of vanadyl phthalocyanines (VOPc and VOPcF4) are studied as active layers for the detection of gaseous ammonia and hydrogen. The effect of F-substituents on the structural features of vanadyl phthalocyanine films and their sensor response toward ammonia (10–50 ppm) and hydrogen (100–500 ppm) is investigated by X-ray diffraction (XRD) and chemiresistive methods, respectively. It is shown that the sensor response of VOPcF4 films to ammonia is 2–3 times higher than that of VOPc films. By contrast, the sensor response to hydrogen is higher in the case of VOPc films. Apart from this, the hybrid structures of vanadyl phthalocyanine films with Pd nanoparticles deposited on their surface by a chemical vapor deposition method are also tested to reveal the effect of Pd nanoparticles on the sensitivity of VOPc films to hydrogen. Deposition of Pd nanoparticles on the surface of VOPc films leads to the noticeable increase of their sensitivity to hydrogen. Full article
(This article belongs to the Special Issue Biennial State-of-the-Art Sensors Technology in Russia 2019-2020)
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