Next Article in Journal
A Microfluidic Concentration Gradient Maker with Tunable Concentration Profiles by Changing Feed Flow Rate Ratios
Previous Article in Journal
A Microfluidic Biosensor Based on Magnetic Nanoparticle Separation, Quantum Dots Labeling and MnO2 Nanoflower Amplification for Rapid and Sensitive Detection of Salmonella Typhimurium
Open AccessArticle

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

1
Microelectronics Research Center, Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78758, USA
2
Biosensor Division, Omega Optics Inc., Austin, TX 78757, USA
3
School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China
4
Physics Department, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
5
State Key Laboratory on Tunable Laser Technology, Harbin Institute of Technology, Shenzhen 518055, China
*
Authors to whom correspondence should be addressed.
Micromachines 2020, 11(3), 282; https://doi.org/10.3390/mi11030282
Received: 24 December 2019 / Revised: 28 February 2020 / Accepted: 3 March 2020 / Published: 9 March 2020
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. View Full-Text
Keywords: biosensor; photonic crystal; nanophotonics; cancer; silicon photonics biosensor; photonic crystal; nanophotonics; cancer; silicon photonics
Show Figures

Figure 1

MDPI and ACS Style

Yang, C.-J.; Yan, H.; Tang, N.; Zou, Y.; Al-Hadeethi, Y.; Xu, X.; Dalir, H.; Chen, R.T. Ultra Sensitivity Silicon-Based Photonic Crystal Microcavity Biosensors for Plasma Protein Detection in Patients with Pancreatic Cancer. Micromachines 2020, 11, 282.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop