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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| Опубліковано в: : | Semiconductor Physics Quantum Electronics & Optoelectronics |
|---|---|
| Дата: | 2004 |
| Автори: | , , , |
| Формат: | Стаття |
| Мова: | Англійська |
| Опубліковано: |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
2004
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| Онлайн доступ: | https://nasplib.isofts.kiev.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. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| _version_ | 1862741628692725760 |
|---|---|
| author | Kruglenko, I.V. Snopok, B.A. Shirshov, Yu.M. Rowell, F.J. |
| author_facet | Kruglenko, I.V. Snopok, B.A. Shirshov, Yu.M. Rowell, F.J. |
| 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. |
| collection | DSpace DC |
| container_title | Semiconductor Physics Quantum Electronics & Optoelectronics |
| 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.
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| first_indexed | 2025-12-07T20:20:54Z |
| format | Article |
| fulltext | |
| id | nasplib_isofts_kiev_ua-123456789-118178 |
| institution | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| issn | 1560-8034 |
| language | English |
| last_indexed | 2025-12-07T20:20:54Z |
| publishDate | 2004 |
| publisher | Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України |
| record_format | dspace |
| spelling | Kruglenko, I.V. Snopok, B.A. Shirshov, Yu.M. Rowell, F.J. 2017-05-29T05:39:02Z 2017-05-29T05:39:02Z 2004 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 https://nasplib.isofts.kiev.ua/handle/123456789/118178 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. Authors are thankfull to the international science foun- dation INTAS for the financial support of this work (projects 00-00870 and 01-00257). en Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України Semiconductor Physics Quantum Electronics & Optoelectronics Multisensor systems for gas analysis: optimization of arrays for classification of pharmaceutical products Article published earlier |
| spellingShingle | 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. |
| title | 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_short | 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 |
| url | https://nasplib.isofts.kiev.ua/handle/123456789/118178 |
| work_keys_str_mv | AT kruglenkoiv multisensorsystemsforgasanalysisoptimizationofarraysforclassificationofpharmaceuticalproducts AT snopokba multisensorsystemsforgasanalysisoptimizationofarraysforclassificationofpharmaceuticalproducts AT shirshovyum multisensorsystemsforgasanalysisoptimizationofarraysforclassificationofpharmaceuticalproducts AT rowellfj multisensorsystemsforgasanalysisoptimizationofarraysforclassificationofpharmaceuticalproducts |