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An Optimization Framework for Silicon Photonic Evanescent-Field Biosensors Using Sub-Wavelength Gratings

Silicon photonic (SiP) evanescent-field biosensors aim to combine the information-rich readouts offered by lab-scale diagnostics, at a significantly lower cost, and with the portability and rapid time to result offered by paper-based assays. While SiP biosensors fabricated with conventional strip wa...

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Autores principales: Puumala, Lauren S., Grist, Samantha M., Wickremasinghe, Kithmin, Al-Qadasi, Mohammed A., Chowdhury, Sheri Jahan, Liu, Yifei, Mitchell, Matthew, Chrostowski, Lukas, Shekhar, Sudip, Cheung, Karen C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599562/
https://www.ncbi.nlm.nih.gov/pubmed/36290977
http://dx.doi.org/10.3390/bios12100840
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author Puumala, Lauren S.
Grist, Samantha M.
Wickremasinghe, Kithmin
Al-Qadasi, Mohammed A.
Chowdhury, Sheri Jahan
Liu, Yifei
Mitchell, Matthew
Chrostowski, Lukas
Shekhar, Sudip
Cheung, Karen C.
author_facet Puumala, Lauren S.
Grist, Samantha M.
Wickremasinghe, Kithmin
Al-Qadasi, Mohammed A.
Chowdhury, Sheri Jahan
Liu, Yifei
Mitchell, Matthew
Chrostowski, Lukas
Shekhar, Sudip
Cheung, Karen C.
author_sort Puumala, Lauren S.
collection PubMed
description Silicon photonic (SiP) evanescent-field biosensors aim to combine the information-rich readouts offered by lab-scale diagnostics, at a significantly lower cost, and with the portability and rapid time to result offered by paper-based assays. While SiP biosensors fabricated with conventional strip waveguides can offer good sensitivity for label-free detection in some applications, there is still opportunity for improvement. Efforts have been made to design higher-sensitivity SiP sensors with alternative waveguide geometries, including sub-wavelength gratings (SWGs). However, SWG-based devices are fragile and prone to damage, limiting their suitability for scalable and portable sensing. Here, we investigate SiP microring resonator sensors designed with SWG waveguides that contain a “fishbone” and highlight the improved robustness offered by this design. We present a framework for optimizing fishbone-style SWG waveguide geometries based on numerical simulations, then experimentally measure the performance of ring resonator sensors fabricated with the optimized waveguides, targeting operation in the O-band and C-band. For the O-band and C-band devices, we report bulk sensitivities up to 349 nm/RIU and 438 nm/RIU, respectively, and intrinsic limits of detection as low as 5.1 × 10(−4) RIU and 7.1 × 10(−4) RIU, respectively. This performance is comparable to the state of the art in SWG-based sensors, positioning fishbone SWG resonators as an attractive, more robust, alternative to conventional SWG designs.
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spelling pubmed-95995622022-10-27 An Optimization Framework for Silicon Photonic Evanescent-Field Biosensors Using Sub-Wavelength Gratings Puumala, Lauren S. Grist, Samantha M. Wickremasinghe, Kithmin Al-Qadasi, Mohammed A. Chowdhury, Sheri Jahan Liu, Yifei Mitchell, Matthew Chrostowski, Lukas Shekhar, Sudip Cheung, Karen C. Biosensors (Basel) Article Silicon photonic (SiP) evanescent-field biosensors aim to combine the information-rich readouts offered by lab-scale diagnostics, at a significantly lower cost, and with the portability and rapid time to result offered by paper-based assays. While SiP biosensors fabricated with conventional strip waveguides can offer good sensitivity for label-free detection in some applications, there is still opportunity for improvement. Efforts have been made to design higher-sensitivity SiP sensors with alternative waveguide geometries, including sub-wavelength gratings (SWGs). However, SWG-based devices are fragile and prone to damage, limiting their suitability for scalable and portable sensing. Here, we investigate SiP microring resonator sensors designed with SWG waveguides that contain a “fishbone” and highlight the improved robustness offered by this design. We present a framework for optimizing fishbone-style SWG waveguide geometries based on numerical simulations, then experimentally measure the performance of ring resonator sensors fabricated with the optimized waveguides, targeting operation in the O-band and C-band. For the O-band and C-band devices, we report bulk sensitivities up to 349 nm/RIU and 438 nm/RIU, respectively, and intrinsic limits of detection as low as 5.1 × 10(−4) RIU and 7.1 × 10(−4) RIU, respectively. This performance is comparable to the state of the art in SWG-based sensors, positioning fishbone SWG resonators as an attractive, more robust, alternative to conventional SWG designs. MDPI 2022-10-08 /pmc/articles/PMC9599562/ /pubmed/36290977 http://dx.doi.org/10.3390/bios12100840 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Puumala, Lauren S.
Grist, Samantha M.
Wickremasinghe, Kithmin
Al-Qadasi, Mohammed A.
Chowdhury, Sheri Jahan
Liu, Yifei
Mitchell, Matthew
Chrostowski, Lukas
Shekhar, Sudip
Cheung, Karen C.
An Optimization Framework for Silicon Photonic Evanescent-Field Biosensors Using Sub-Wavelength Gratings
title An Optimization Framework for Silicon Photonic Evanescent-Field Biosensors Using Sub-Wavelength Gratings
title_full An Optimization Framework for Silicon Photonic Evanescent-Field Biosensors Using Sub-Wavelength Gratings
title_fullStr An Optimization Framework for Silicon Photonic Evanescent-Field Biosensors Using Sub-Wavelength Gratings
title_full_unstemmed An Optimization Framework for Silicon Photonic Evanescent-Field Biosensors Using Sub-Wavelength Gratings
title_short An Optimization Framework for Silicon Photonic Evanescent-Field Biosensors Using Sub-Wavelength Gratings
title_sort optimization framework for silicon photonic evanescent-field biosensors using sub-wavelength gratings
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599562/
https://www.ncbi.nlm.nih.gov/pubmed/36290977
http://dx.doi.org/10.3390/bios12100840
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