Optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity
Developed in this work is the information technology for improvement of the sensitivity inherent to the surface plasmon resonance (SPR) method by optimization of the resonance curve minimum detection algorithm. Simulation of SPR sensor response has been performed using the Fresnel equations with acc...
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| Veröffentlicht in: | Semiconductor Physics Quantum Electronics & Optoelectronics |
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| Datum: | 2015 |
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| Format: | Artikel |
| Sprache: | English |
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Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
2015
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| Online Zugang: | https://nasplib.isofts.kiev.ua/handle/123456789/121219 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity / R.V. Khrystosenko // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2015. — Т. 18, № 3. — С. 279-285. — Бібліогр.: 15 назв. — англ. |
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Khrystosenko, R.V. 2017-06-13T16:58:05Z 2017-06-13T16:58:05Z 2015 Optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity / R.V. Khrystosenko // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2015. — Т. 18, № 3. — С. 279-285. — Бібліогр.: 15 назв. — англ. 1560-8034 DOI: 10.15407/spqeo18.03.279 PACS 42.79.Pw, Qx; 73.20.Mf https://nasplib.isofts.kiev.ua/handle/123456789/121219 Developed in this work is the information technology for improvement of the sensitivity inherent to the surface plasmon resonance (SPR) method by optimization of the resonance curve minimum detection algorithm. Simulation of SPR sensor response has been performed using the Fresnel equations with account of noise contribution and the Jones calculus. It has been demonstrated that using third-order polynomial approximation in the angular scanning range of θSPR ± 0.5° with 100 experimental points improves the sensitivity of “Plasmon” series instruments by an order of magnitude. en Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України Semiconductor Physics Quantum Electronics & Optoelectronics Optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity Article published earlier |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| title |
Optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity |
| spellingShingle |
Optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity Khrystosenko, R.V. |
| title_short |
Optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity |
| title_full |
Optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity |
| title_fullStr |
Optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity |
| title_full_unstemmed |
Optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity |
| title_sort |
optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity |
| author |
Khrystosenko, R.V. |
| author_facet |
Khrystosenko, R.V. |
| publishDate |
2015 |
| language |
English |
| container_title |
Semiconductor Physics Quantum Electronics & Optoelectronics |
| publisher |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України |
| format |
Article |
| description |
Developed in this work is the information technology for improvement of the sensitivity inherent to the surface plasmon resonance (SPR) method by optimization of the resonance curve minimum detection algorithm. Simulation of SPR sensor response has been performed using the Fresnel equations with account of noise contribution and the Jones calculus. It has been demonstrated that using third-order polynomial approximation in the angular scanning range of θSPR ± 0.5° with 100 experimental points improves the sensitivity of “Plasmon” series instruments by an order of magnitude.
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| issn |
1560-8034 |
| url |
https://nasplib.isofts.kiev.ua/handle/123456789/121219 |
| citation_txt |
Optimization of the surface plasmon resonance minimum detection algorithm for improvement of method sensitivity / R.V. Khrystosenko // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2015. — Т. 18, № 3. — С. 279-285. — Бібліогр.: 15 назв. — англ. |
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AT khrystosenkorv optimizationofthesurfaceplasmonresonanceminimumdetectionalgorithmforimprovementofmethodsensitivity |
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2025-12-07T17:28:28Z |
| last_indexed |
2025-12-07T17:28:28Z |
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1850871390633197568 |