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Impedance Spectroscopy of Hierarchical Porous Nanomaterials Based on por-Si, por-Si Incorporated by Ni and Metal Oxides for Gas Sensors.
Bobkov, Anton; Luchinin, Victor; Moshnikov, Vyacheslav; Nalimova, Svetlana; Spivak, Yulia.
Afiliação
  • Bobkov A; Department of Micro- and Nanoelectronics, Saint Petersburg Electrotechnical University "LETI", Professor Popov Str. 5, 197376 St. Petersburg, Russia.
  • Luchinin V; Department of Micro- and Nanoelectronics, Saint Petersburg Electrotechnical University "LETI", Professor Popov Str. 5, 197376 St. Petersburg, Russia.
  • Moshnikov V; Department of Micro- and Nanoelectronics, Saint Petersburg Electrotechnical University "LETI", Professor Popov Str. 5, 197376 St. Petersburg, Russia.
  • Nalimova S; Department of Micro- and Nanoelectronics, Saint Petersburg Electrotechnical University "LETI", Professor Popov Str. 5, 197376 St. Petersburg, Russia.
  • Spivak Y; Department of Micro- and Nanoelectronics, Saint Petersburg Electrotechnical University "LETI", Professor Popov Str. 5, 197376 St. Petersburg, Russia.
Sensors (Basel) ; 22(4)2022 Feb 16.
Article em En | MEDLINE | ID: mdl-35214428
ABSTRACT
Approaches are being developed to create composite materials with a fractal-percolation structure based on intercalated porous matrices to increase the sensitivity of adsorption gas sensors. Porous silicon, nickel-containing porous silicon, and zinc oxide have been synthesized as materials for such structures. Using the impedance spectroscopy method, it has been shown that the obtained materials demonstrate high sensitivity to organic solvent vapors and can be used in gas sensors. A model is proposed that explains the high sensitivity and inductive nature of the impedance at low frequencies, considering the structural features and fractal-percolation properties of the obtained oxide materials.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Federação Russa

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Federação Russa