Abstract

Abstract The paper considers the possibility of using thin films based on samarium sulfide, as well as composite systems of metal-oxide semiconductors doped with rare-earth elements, as radiation-resistant sensitive materials for monitoring leaks of rocket fuel components. The data of electrophysical studies of the obtained sensor layers were processed within the framework of the semiconductor Fourier spectroscopy constructed in relation to gas-analytical systems and the nonlinear regression algorithm of selective calibration. The latter solves really the problem of sensors’ selectivity including distinguishing the substances of the same homology such as methane, propane and n-hexane.

Highlights

  • Semiconductor resistive gas sensors are one of the main types of chemical sensors used in industry, including in the rocket and space industry

  • The paper considers the possibility of using thin films based on samarium sulfide, as well as composite systems of metal-oxide semiconductors doped with rare-earth elements, as radiation-resistant sensitive materials for monitoring leaks of rocket fuel components

  • The data of electrophysical studies of the obtained sensor layers were processed within the framework of the semiconductor Fourier spectroscopy constructed in relation to gas-analytical systems and the nonlinear regression algorithm of selective calibration

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Summary

Introduction

Semiconductor resistive gas sensors are one of the main types of chemical sensors used in industry, including in the rocket and space industry Their principle of operation is based on the change in the conductivity of the sensitive layer when exposed to the components of the gas medium. (Kazakov et al 2020), a promising approach in the field of semiconductor gas analysis was proposed, based on a modification of optical methods of Fourier spectroscopy, which makes it possible to unambiguously solve the problem of increasing the selectivity of a gas sensor. The essence of the approach is to obtain the spectral characteristic of the sensor from the total change in its electrical conductivity over time with an increase (decrease) in the sensor surface temperature in the analyzed medium by applying a discrete Fourier transform to the obtained data. Identification and determination of the gas concentration is carried out after drawing up its selectivity portrait, which has a characteristic appearance for each substance

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