Digital aroma technology for chemical sensing: temporal chemical images of complex mixtures

The reliability of Electronic nose applications is mainly based on the sensitivity, repeatability and discernment properties of the sensors composing the array. Due to nature of the chosen sensitive layers, the sensors are particularly suitable to classify environments in which compounds with variou...

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Veröffentlicht in:Semiconductor Physics Quantum Electronics & Optoelectronics
Datum:2000
Hauptverfasser: Kruglenko, I.V., Snopok, B.A., Shirshov, Y.M., Venger, E.F.
Format: Artikel
Sprache:Englisch
Veröffentlicht: Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України 2000
Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/121235
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren:Digital aroma technology for chemical sensing: temporal chemical images of complex mixtures / I.V.Kruglenko, B.A. Snopok, Y.M. Shirshov, E.F. Venger // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2000. — Т. 3, № 4. — С. 529-541. — Бібліогр.: 77 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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Zusammenfassung:The reliability of Electronic nose applications is mainly based on the sensitivity, repeatability and discernment properties of the sensors composing the array. Due to nature of the chosen sensitive layers, the sensors are particularly suitable to classify environments in which compounds with various chemical functionality play a key role. This article is focusing on the novel strategy aimed at the improving the quality and quantity of chemical information from the sensing instruments based on incorporation kinetic aspects of the array response for perfect formation and improved discrimination of chemical images of the probes. We describe a procedure for reducing both time response and number of elements of gas sensor arrays based on principal component analysis (PCA). Thus, digital aroma technology may be used not only as background for formation of chemical images using intelligent sensor massifs but as well as effective experimental tools for characterization and selection coatings with desired chemical functionality by using time-resolved pattern recognition.
ISSN:1560-8034