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Color-sensitive and spectrometer-free plasmonic sensor for biosensing applications

Color-sensitive and spectrometer-free plasmonic sensor for biosensing applications
Kim, SeungukLee, YoungjinKim, Jae YeonYang, Jae HoonKwon, Hyuk JunHwang, Jae YounMoon, CheilJang, Jae Eun
DGIST Authors
Kwon, Hyuk JunHwang, Jae YounMoon, CheilJang, Jae Eun
Issued Date
Article Type
Author Keywords
BiosensingColor-sensitive analysisImage processingNanohole arraysPlasmonic sensorSpectrometer-free
Sensitive analysisColorComputer softwareImage analysisImage processingImage resolutionOptical data processingPlasmonicsPlasmonsRefractive indexSpectrometersSpectrum analysisBiosensingBiosensing applicationsInternational CommissionNanohole arraysOptical InstrumentationOptically transparent materialPlasmonic sensorsColor image processing
A color-sensitive and spectrometer-free sensing method using plasmonic nanohole arrays and the color components, L* a* and b* of the CIELAB defined by the international commission on illumination (CIE) is introduced for the analysis of optically transparent materials in the visible range. Spectral analysis based on plasmonic nanoparticles or nanostructures can be applied to real-time bio-detection, but complex optical instrumentations and low spatial resolution have limited the sensing ability. Therefore, we take an advantage of color image processing instead of spectral analysis which induces the distinctive color information of plasmonic nanohole arrays with different transparent materials. It guarantees high spatial resolution which is essential to bio-detection such as living cells. To establish our sensing platform, the color components, L* a* and b* were extracted from photo images by an image sensor, statistically processed using a JAVA program, and finally utilized as three individual sensing factors. Additionally, our study on a correlation between the spacing of plasmonic sensors and the color sensitivity to the refractive index reveals geometrically optimal conditions of nanohole arrays. The weighted mean calculation with the three individual sensing factors offers an enhanced distinction of the optical difference for transparent materials. In this work, a color sensitivity of 156.94 RIU−1 and a minimum mean absolute error of 1.298×10−4 RIU were achieved. The difference in the refractive index can be recognized up to 10−4 level with the suggested sensing platform and the signal process. This unique color-sensitive sensing method enables a simple, easy-to-control, and highly accurate analysis without complicated measurement systems including a spectrometer. Therefore, our sensing platform can be applied as a very powerful tool to in-situ label-free bio-detection fields. © 2018 Elsevier B.V.
Pergamon Press Ltd.


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