Multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products

In the present work, the use of the cluster analysis method in the “fuzzy logic” concept for the optimization of the cross-selective sensor arrays (“electronic nose”, EN) is considered. This approach enables to purposefully form the sensor arrays with definite chemical functionality optimized for th...

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Дата:2004
Автори: Kruglenko, I.V., Snopok, B.A., Shirshov, Yu.M., Rowell, F.J.
Формат: Стаття
Мова:English
Опубліковано: Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України 2004
Назва видання:Semiconductor Physics Quantum Electronics & Optoelectronics
Онлайн доступ:http://dspace.nbuv.gov.ua/handle/123456789/118178
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати:Multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products / I.V. Kruglenko, B.A. Snopok, Yu.M. Shirshov, F.J. Rowell // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2004. — Т. 7, № 2. — С. 207-216. — Бібліогр.: 49 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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spelling irk-123456789-1181782017-05-30T03:02:53Z Multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products Kruglenko, I.V. Snopok, B.A. Shirshov, Yu.M. Rowell, F.J. In the present work, the use of the cluster analysis method in the “fuzzy logic” concept for the optimization of the cross-selective sensor arrays (“electronic nose”, EN) is considered. This approach enables to purposefully form the sensor arrays with definite chemical functionality optimized for the solution of the specific applied problems. The criteria of the optimization of the sensor response, number and type of the sensor elements are considered with the goal to improve the classification of widely used pharmaceutical products. The optimization of EN array in the kinetic mode and selection of the most informative part of the sensor response enabled to reduce the analysis time, and also the number of sensors in array, to improve the discriminatory capability of the whole array. Being based on the analysis of response kinetic peculiarities, the physical mechanisms determining the peculiarities of adsorption-desorption processes at the interface have been considered. 2004 Article Multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products / I.V. Kruglenko, B.A. Snopok, Yu.M. Shirshov, F.J. Rowell // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2004. — Т. 7, № 2. — С. 207-216. — Бібліогр.: 49 назв. — англ. 1560-8034 PACS: 07.07.Df http://dspace.nbuv.gov.ua/handle/123456789/118178 en Semiconductor Physics Quantum Electronics & Optoelectronics Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
collection DSpace DC
language English
description In the present work, the use of the cluster analysis method in the “fuzzy logic” concept for the optimization of the cross-selective sensor arrays (“electronic nose”, EN) is considered. This approach enables to purposefully form the sensor arrays with definite chemical functionality optimized for the solution of the specific applied problems. The criteria of the optimization of the sensor response, number and type of the sensor elements are considered with the goal to improve the classification of widely used pharmaceutical products. The optimization of EN array in the kinetic mode and selection of the most informative part of the sensor response enabled to reduce the analysis time, and also the number of sensors in array, to improve the discriminatory capability of the whole array. Being based on the analysis of response kinetic peculiarities, the physical mechanisms determining the peculiarities of adsorption-desorption processes at the interface have been considered.
format Article
author Kruglenko, I.V.
Snopok, B.A.
Shirshov, Yu.M.
Rowell, F.J.
spellingShingle Kruglenko, I.V.
Snopok, B.A.
Shirshov, Yu.M.
Rowell, F.J.
Multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products
Semiconductor Physics Quantum Electronics & Optoelectronics
author_facet Kruglenko, I.V.
Snopok, B.A.
Shirshov, Yu.M.
Rowell, F.J.
author_sort Kruglenko, I.V.
title Multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products
title_short Multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products
title_full Multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products
title_fullStr Multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products
title_full_unstemmed Multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products
title_sort multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products
publisher Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
publishDate 2004
url http://dspace.nbuv.gov.ua/handle/123456789/118178
citation_txt Multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products / I.V. Kruglenko, B.A. Snopok, Yu.M. Shirshov, F.J. Rowell // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2004. — Т. 7, № 2. — С. 207-216. — Бібліогр.: 49 назв. — англ.
series Semiconductor Physics Quantum Electronics & Optoelectronics
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AT shirshovyum multisensorsystemsforgasanalysisoptimizationofarraysforclassificationofpharmaceuticalproducts
AT rowellfj multisensorsystemsforgasanalysisoptimizationofarraysforclassificationofpharmaceuticalproducts
first_indexed 2023-10-18T20:31:32Z
last_indexed 2023-10-18T20:31:32Z
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