A novel algorithm based on the coefficient of determination of linear regression fitting to automatically find the optimum angle for miniaturized surface plasmon resonance measurement
| Autor: | Daeho Jang, Geun-hyong Chae, Dayeseul Lim, Jaechern Yoo |
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| Rok vydání: | 2014 |
| Předmět: |
Coefficient of determination
Materials science Dynamic range business.industry Metals and Alloys Mode (statistics) Condensed Matter Physics Surfaces Coatings and Films Electronic Optical and Magnetic Materials Fixed angle Optics Linear regression Materials Chemistry Spr biosensor Electrical and Electronic Engineering Surface plasmon resonance business MATLAB Instrumentation Algorithm computer computer.programming_language |
| Zdroj: | Sensors and Actuators B: Chemical. 199:488-492 |
| ISSN: | 0925-4005 |
| DOI: | 10.1016/j.snb.2014.03.103 |
| Popis: | We developed a novel algorithm which can automatically find the optimum angle for surface plasmon resonance (SPR) measurements based on fixed angle mode using MATLAB R2013a. The optimum angle is decided by the coefficient of determination of linear regression fitting on an SPR curve obtained from a miniaturized SPR system. The SPR biosensor based on the novel algorithm achieved a dynamic range of 0.00696RIU of and LOD of 3.1956 × 10−6. |
| Databáze: | OpenAIRE |
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