Design guidelines for optical resonator biochemical sensors

By Juejun Hu, Xiaochen Sun, Anuradha Murthy Agarwal, Lionel C. Kimerling. 2009

188 citations recorded by the source corpus.

We propose a design tool for dielectric optical resonator-based biochemical refractometry sensors. Analogous to the widely accepted photodetector figure of merit, the detectivity D*, we introduce a new sensor system figure of merit, the time-normalized sensitivity S*, to permit quantitative, cross-technology-platform comparison between resonator sensors with distinctive device designs and interrogation configurations. The functional dependence of S* on device parameters, such as resonant cavity quality factor (Q), extinction ratio, system noise, and light source spectral bandwidth, is evaluated by using a Lorentzian peak fitting algorithm and Monte Carlo simulations to provide theoretical insights and useful design guidelines for optical resonator sensors. Importantly, we find that S* critically depends on the cavity Q factor, and we develop a method of optimizing sensor resolution and sensitivity to noise as a function of cavity Q factor. Finally, we compare the simulation predictions of sensor wavelength resolution with experimental results obtained in Ge17Sb12S71 resonators, and good agreement is confirmed.

Subfields: Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/d5e95b6962082a31e8929b3c930cd830273bd8de

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In Atomic and Molecular Physics, and Optics

In Electrical and Electronic Engineering

Citations in the corpus

Towards a Uniform Metrological Assessment of Grating-Based Optical Fiber Sensors: From Refractometers to Biosensors (2017, background): “In the third (and final) approach, the determination of LOD is based on the sensor resolution and on the surface sensitivity (Ssurface) [2,4,19], which is the RI change (Δn) divided by the surface density concentration (ρmax) of the target analyte, as expressed in the following equation: LOD = R S =”
Silicon Photonics: The Next Fabless Semiconductor Industry (2013, unknown): “These include nanooptomechanics and condensed matter physics [2], biosensing [3], nonlinear optics [4], light detection and ranging (LIDAR) systems [5], optical gyroscopes [6], radio frequency integrated optoelectronics [7], integrated radio trans receivers [8], coherent communications [9], novel li”
Silicon Photonic Biosensors Using Label-Free Detection (2018, methodology): “673 By applying this algorithm to silicon photonic biosensors, a wavelength measurement precision much smaller 674 than both the light source linewidth and the peak FWHM is achieved [272], with a factor of approximately 10 675 to 103 [59].”