THESIS
2016
xxxi, 208 pages : illustrations ; 30 cm
Abstract
Optofluidics features the fusion of advanced optical and microfluidic techniques with miniaturized integration, indicating promising applications in various areas, especially lab-on-a-chip devices. In this thesis, we focus on developing optofluidic biosensing techniques leveraging silicon photonics technology. We proposed coupled-resonator optical waveguides (CROWs) as optical biosensors, and experimentally demonstrated a number of silicon and silicon nitride (SiN)-based CROWs integrated on optofluidic chips for various biosensing applications, including i) refractive index sensing, ii) label-free protein detection, and iii) single nanoparticle detection.
We proposed a paradigm shift in optical microcavity-based biosensing using light-scattering pattern recognition. The sensing sch...[
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Optofluidics features the fusion of advanced optical and microfluidic techniques with miniaturized integration, indicating promising applications in various areas, especially lab-on-a-chip devices. In this thesis, we focus on developing optofluidic biosensing techniques leveraging silicon photonics technology. We proposed coupled-resonator optical waveguides (CROWs) as optical biosensors, and experimentally demonstrated a number of silicon and silicon nitride (SiN)-based CROWs integrated on optofluidic chips for various biosensing applications, including i) refractive index sensing, ii) label-free protein detection, and iii) single nanoparticle detection.
We proposed a paradigm shift in optical microcavity-based biosensing using light-scattering pattern recognition. The sensing scheme only requires exciting CROWs at a fixed wavelength and imaging the out-of-plane elastic-light-scattering intensity patterns. Based on correlating the light-scattering pattern at a probe wavelength with the eigenstate patterns, we devised a pattern-recognition algorithm that enables the extraction of sensing information. We first realized the concepts for refractive index sensing. Our experiments using silicon microring-based CROWs in the telecommunications band show a detection down to ~10
-4 refractive index unit (RIU) and calibrated detection limits down to ~10
-7 RIU at specific probe wavelengths. Furthermore, we developed CROW sensors on the SiN-on-silica platform operated in the visible wavelengths. After sensor calibration, the sensing scheme only requires a fixed-wavelength laser source and a CCD/CMOS camera, which significantly improves the practicality.
We developed SiN CROWs with surface functionalization for label-free protein detection. Experiments for detecting streptavidin concentrations show a dynamic range of > 4 orders with the lowest detectable concentration down to ~ 1 ng/ml. The sensing results by pattern recognition show good consistencies with the measurements using wavelength-scanning method.
For single nanoparticle detection, we proposed detecting nanoparticle-induced perturbations by measuring the light-scattering pattern changes at CROW eigenstates. Our experiments using SiN two-dimensional microring-based CROWs show real-time detection and counting of individual 100nm-radius polystyrene particle-binding events under fluidic flow.
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