Ultra Sensitivity Silicon-Based Photonic Crystal Microcavity Biosensors for Plasma Protein Detection in Patients with Pancreatic Cancer

Defect-engineered photonic crystal (PC) microcavities were fabricated by UV photolithography and their corresponding sensitivities to biomarkers in patient plasma samples were compared for different resonant microcavity characteristics of quality factor Q and biomarker fill fraction. Three different...

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Main Authors: Chun-Ju Yang, Hai Yan, Naimei Tang, Yi Zou, Yas Al-Hadeethi, Xiaochuan Xu, Hamed Dalir, Ray T. Chen
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/11/3/282
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spelling doaj-501f43a684794e60925de182999465c12020-11-25T02:15:56ZengMDPI AGMicromachines2072-666X2020-03-0111328210.3390/mi11030282mi11030282Ultra Sensitivity Silicon-Based Photonic Crystal Microcavity Biosensors for Plasma Protein Detection in Patients with Pancreatic CancerChun-Ju Yang0Hai Yan1Naimei Tang2Yi Zou3Yas Al-Hadeethi4Xiaochuan Xu5Hamed Dalir6Ray T. Chen7Microelectronics Research Center, Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78758, USAMicroelectronics Research Center, Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78758, USABiosensor Division, Omega Optics Inc., Austin, TX 78757, USAMicroelectronics Research Center, Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78758, USAKing Abdulaziz University, Jeddah 21589, Saudi ArabiaMicroelectronics Research Center, Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78758, USABiosensor Division, Omega Optics Inc., Austin, TX 78757, USAMicroelectronics Research Center, Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78758, USADefect-engineered photonic crystal (PC) microcavities were fabricated by UV photolithography and their corresponding sensitivities to biomarkers in patient plasma samples were compared for different resonant microcavity characteristics of quality factor Q and biomarker fill fraction. Three different biomarkers in plasma from pancreatic cancer patients were experimentally detected by conventional L13 defect-engineered microcavities without nanoholes and higher sensitivity L13 PC microcavities with nanoholes. 8.8 femto-molar (0.334 pg/mL) concentration of pancreatic cancer biomarker in patient plasma samples was experimentally detected which are 50 times dilution than ELISA in a PC microcavity with high quality factor and high analyte fill fraction.https://www.mdpi.com/2072-666X/11/3/282biosensorphotonic crystalnanophotonicscancersilicon photonics
collection DOAJ
language English
format Article
sources DOAJ
author Chun-Ju Yang
Hai Yan
Naimei Tang
Yi Zou
Yas Al-Hadeethi
Xiaochuan Xu
Hamed Dalir
Ray T. Chen
spellingShingle Chun-Ju Yang
Hai Yan
Naimei Tang
Yi Zou
Yas Al-Hadeethi
Xiaochuan Xu
Hamed Dalir
Ray T. Chen
Ultra Sensitivity Silicon-Based Photonic Crystal Microcavity Biosensors for Plasma Protein Detection in Patients with Pancreatic Cancer
Micromachines
biosensor
photonic crystal
nanophotonics
cancer
silicon photonics
author_facet Chun-Ju Yang
Hai Yan
Naimei Tang
Yi Zou
Yas Al-Hadeethi
Xiaochuan Xu
Hamed Dalir
Ray T. Chen
author_sort Chun-Ju Yang
title Ultra Sensitivity Silicon-Based Photonic Crystal Microcavity Biosensors for Plasma Protein Detection in Patients with Pancreatic Cancer
title_short Ultra Sensitivity Silicon-Based Photonic Crystal Microcavity Biosensors for Plasma Protein Detection in Patients with Pancreatic Cancer
title_full Ultra Sensitivity Silicon-Based Photonic Crystal Microcavity Biosensors for Plasma Protein Detection in Patients with Pancreatic Cancer
title_fullStr Ultra Sensitivity Silicon-Based Photonic Crystal Microcavity Biosensors for Plasma Protein Detection in Patients with Pancreatic Cancer
title_full_unstemmed Ultra Sensitivity Silicon-Based Photonic Crystal Microcavity Biosensors for Plasma Protein Detection in Patients with Pancreatic Cancer
title_sort ultra sensitivity silicon-based photonic crystal microcavity biosensors for plasma protein detection in patients with pancreatic cancer
publisher MDPI AG
series Micromachines
issn 2072-666X
publishDate 2020-03-01
description Defect-engineered photonic crystal (PC) microcavities were fabricated by UV photolithography and their corresponding sensitivities to biomarkers in patient plasma samples were compared for different resonant microcavity characteristics of quality factor Q and biomarker fill fraction. Three different biomarkers in plasma from pancreatic cancer patients were experimentally detected by conventional L13 defect-engineered microcavities without nanoholes and higher sensitivity L13 PC microcavities with nanoholes. 8.8 femto-molar (0.334 pg/mL) concentration of pancreatic cancer biomarker in patient plasma samples was experimentally detected which are 50 times dilution than ELISA in a PC microcavity with high quality factor and high analyte fill fraction.
topic biosensor
photonic crystal
nanophotonics
cancer
silicon photonics
url https://www.mdpi.com/2072-666X/11/3/282
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