Super-Resolution Displacement Spectroscopic Sensing over a Surface "Rainbow". (October 2022)

• Record Type: Journal Article
• Authors: Zhou, Lyu; Zhang, Nan; Hsu, Chang Chieh; Singer, Matthew; Zeng, Xie; Li, Yizheng; Song, Haomin; Jornet, Josep; Wu, Yun; Gan, Qiaoqiang
• Is Part Of: Engineering. Volume 17(2022)
• Page Start: 75
• Page End: 81
• Publication Date: 2022-10
• Subjects: Rainbow trapping -- Metasurface -- Surface plasmon polaritons -- Super-resolution displacement -- On-chip biosensing; Engineering -- Periodicals; Engineering -- China -- Periodicals; 620.005
• DOI: 10.1016/j.eng.2022.03.018
• Languages: English
• ISSNs: 2095-8099

Abstract

Abstract: Subwavelength manipulation of light waves with high precision can enable new and exciting applications in spectroscopy, sensing, and medical imaging. For these applications, miniaturized spectrometers are desirable to enable the on-chip analysis of spectral information. In particular, for imaging-based spectroscopic sensing mechanisms, the key challenge is to determine the spatial-shift information accurately (i.e., the spatial displacement introduced by wavelength shift or biological or chemical surface binding), which is similar to the challenge presented by super-resolution imaging. Here, we report a unique "rainbow" trapping metasurface for on-chip spectrometers and sensors. Combined with super-resolution image processing, the low-setting 4× optical microscope system resolves a displacement of the resonant position within 35 nm on the plasmonic rainbow trapping metasurface with a tiny area as small as 0.002 mm 2 . This unique feature of the spatial manipulation of efficiently coupled rainbow plasmonic resonances reveals a new platform for miniaturized on-chip spectroscopic analysis with a spectral resolution of 0.032 nm in wavelength shift. Using this low-setting 4× microscope imaging system, we demonstrate a biosensing resolution of 1.92 × 10 9 exosomes per milliliter for A549-derived exosomes and distinguish between patient samples and healthy controls using exosomal epidermal growth factor receptor (EGFR) expression values, thereby demonstrating a new on-chip sensing system for personalized accurate bio/chemical sensing applications.