Computational study for optimization of a plasmon FET as a molecular biosensor

Mark Ciappesoni, Seongman Cho, Jieyuan Tian, Sung Jin Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Surface Plasmon Resonance (SPR) is currently being widely studied as it exhibits sensitive optical properties to changes in in the refractive index of the surrounding medium. As novel devices using SPR have been developing rapidly there is a necessity to develop models and simulation environments that will allow for continued development and optimization of these devices. A biological sensing device of interest is the Plasmon FET which has been proven experimentally to have a limit of detection (LOD) of 20pg/ml while being immune to the absorption of the medium. The Plasmon FET is a metal-semiconductor-metal detector which employ functionalized gold nanostructures on a semi-conducting layer. This direct approach has the advantages of not requiring readout optics reducing size and allowing for point-of-care measurements. Using Lumerical FDTD and Device numerical solvers, we can report an advanced simulation environment illustrating several key sensor specifications including LOD, resolution, sensitivity, and dynamic range, for a variety of biological markers providing a comprehensive analysis of a Direct Plasmon-to-Electric conversion device designed to function with colored mediums (eg.whole blood). This model allows for the simulation and optimization of a plasmonic sensor that already o ers advantages in size, operability, and multiplexing-capability, with real time monitoring.

Original languageEnglish (US)
Title of host publicationNanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV
PublisherSPIE
Volume10506
ISBN (Electronic)9781510614970
DOIs
StatePublished - Jan 1 2018
EventNanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV 2018 - San Francisco, United States
Duration: Jan 30 2018Jan 31 2018

Other

OtherNanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV 2018
CountryUnited States
CitySan Francisco
Period1/30/181/31/18

Fingerprint

Surface plasmon resonance
Biosensing Techniques
Field effect transistors
bioinstrumentation
Biosensors
field effect transistors
Metal detectors
Semiconductor detectors
Equipment and Supplies
optimization
Sensors
environment simulation
Multiplexing
Gold
Surface Plasmon Resonance
Nanostructures
Optics
Refractive index
Blood
surface plasmon resonance

Keywords

  • Biosensor
  • Concanavalin A detection
  • FDTD
  • FEM
  • Localized surface plasmon resonance
  • Plasmonic sensor
  • simulation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

Ciappesoni, M., Cho, S., Tian, J., & Kim, S. J. (2018). Computational study for optimization of a plasmon FET as a molecular biosensor. In Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV (Vol. 10506). [105060T] SPIE. https://doi.org/10.1117/12.2288041

Computational study for optimization of a plasmon FET as a molecular biosensor. / Ciappesoni, Mark; Cho, Seongman; Tian, Jieyuan; Kim, Sung Jin.

Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV. Vol. 10506 SPIE, 2018. 105060T.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ciappesoni, M, Cho, S, Tian, J & Kim, SJ 2018, Computational study for optimization of a plasmon FET as a molecular biosensor. in Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV. vol. 10506, 105060T, SPIE, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV 2018, San Francisco, United States, 1/30/18. https://doi.org/10.1117/12.2288041
Ciappesoni M, Cho S, Tian J, Kim SJ. Computational study for optimization of a plasmon FET as a molecular biosensor. In Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV. Vol. 10506. SPIE. 2018. 105060T https://doi.org/10.1117/12.2288041
Ciappesoni, Mark ; Cho, Seongman ; Tian, Jieyuan ; Kim, Sung Jin. / Computational study for optimization of a plasmon FET as a molecular biosensor. Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV. Vol. 10506 SPIE, 2018.
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