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

Area of Science:

• Plasmonics and Nanophotonics
• Optical Sensing
• Materials Science

Background:

• Plasmonic sensors offer potential for real-time bio-detection but are limited by complex instrumentation and low spatial resolution.
• Existing spectral analysis methods for plasmonic sensors require sophisticated optical setups.
• High spatial resolution is crucial for applications like living cell detection.

Purpose of the Study:

• To develop a spectrometer-free, color-sensitive sensing method for analyzing optically transparent materials.
• To leverage color image processing of plasmonic nanohole arrays for enhanced sensing capabilities.
• To establish a high spatial resolution sensing platform for label-free bio-detection.

Main Methods:

• Utilized plasmonic nanohole arrays and CIELAB color components (L extit{a*} extit{b*}) for analysis.
• Employed color image processing and an image sensor instead of spectral analysis.
• Developed a JAVA program for statistical processing of color components and weighted mean calculations.

Main Results:

• Achieved a color sensitivity of 156.94 RIU extsuperscript{-1} and a minimum mean absolute error of 1.298 exttimes10 extsuperscript{-4} RIU.
• Demonstrated the ability to recognize refractive index differences as small as 10 extsuperscript{-4} RIU.
• Identified geometrically optimal conditions for nanohole arrays to enhance color sensitivity.

Conclusions:

• The developed color-sensitive method provides a simple, accurate, and spectrometer-free approach for analyzing transparent materials.
• The sensing platform offers high spatial resolution suitable for bio-detection applications.
• This technique is a powerful tool for in-situ, label-free bio-detection without complex measurement systems.