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

Chun-Ju Yang; Hai Yan; Naimei Tang; Yi Zou; Yas Al-Hadeethi; Xiaochuan Xu; Hamed Dalir; Ray  T. Chen

doi:10.3390/mi11030282

Micromachines (Mar 2020)

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

Chun-Ju Yang,
Hai Yan,
Naimei Tang,
Yi Zou,
Yas Al-Hadeethi,
Xiaochuan Xu,
Hamed Dalir,
Ray T. Chen

Affiliations

Chun-Ju Yang: Microelectronics Research Center, Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78758, USA
Hai Yan: Microelectronics Research Center, Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78758, USA
Naimei Tang: Biosensor Division, Omega Optics Inc., Austin, TX 78757, USA
Yi Zou: Microelectronics Research Center, Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78758, USA
Yas Al-Hadeethi: King Abdulaziz University, Jeddah 21589, Saudi Arabia
Xiaochuan Xu: Microelectronics Research Center, Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78758, USA
Hamed Dalir: Biosensor Division, Omega Optics Inc., Austin, TX 78757, USA
Ray T. Chen: Microelectronics Research Center, Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78758, USA

DOI: https://doi.org/10.3390/mi11030282
Journal volume & issue: Vol. 11, no. 3
p. 282

Abstract

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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.

Published in Micromachines

ISSN: 2072-666X (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Mechanical engineering and machinery
Website: https://www.mdpi.com/journal/micromachines

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