Graphene-MoS 2 SPR-based biosensor for urea detection

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

1 Citation (Scopus)

Abstract

In this paper a surface plasmon resonance (SPR)-based biosensor is proposed. This sensor is based on Kretschmann configuration by considering the efficiency of graphene and MoS 2 layers. The biosensor is simulated by the Lumerical's finite-difference-time-domain (FDTD) method. The performance parameters of the proposed sensor are defined in terms of the reflectance intensity that clarifies the sensor sensitivity and the full-width-at-half-maximum (FWHM) of the spectrum for detection accuracy. The measurement is observed at two wavelengths that are 670 nm and 785 nm for urea detection at the concentration of 50nM with the reflective index of 1.33433. The results show that the sensitivity increases by 3.58% and 5.24% with the addition of graphene and MoS 2 at 670 nm and 785 nm respectively. This designates that the proposed SPR-biosensor is sensitive for urea detection.

Original languageEnglish
Title of host publicationISESD 2018 - International Symposium on Electronics and Smart Devices
Subtitle of host publicationSmart Devices for Big Data Analytic and Machine Learning
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538666708
DOIs
Publication statusPublished - 7 Jan 2019
Event2018 International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning, ISESD 2018 - Bandung, Indonesia
Duration: 23 Oct 201824 Oct 2018

Publication series

NameISESD 2018 - International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning

Conference

Conference2018 International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning, ISESD 2018
CountryIndonesia
CityBandung
Period23/10/1824/10/18

Fingerprint

Biosensor
Surface Plasmon
Graphene
Surface plasmon resonance
ureas
bioinstrumentation
surface plasmon resonance
Biosensors
Urea
graphene
Sensor
sensors
Sensors
Finite-difference Time-domain Method
Finite difference time domain method
Full width at half maximum
Reflectance
finite difference time domain method
Wavelength
reflectance

Keywords

  • biosensor
  • FDTD
  • FWHM
  • graphene
  • MoS sensitivity
  • surface plasmon resonance
  • urea

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation

Cite this

Jamil, N. A., Khairulazdan, N. B., N V Visvanathan, P. S. M., Ahmad Rifqi, M. Z., Hamzah, A. A., & Yeop Majlis, B. (2019). Graphene-MoS 2 SPR-based biosensor for urea detection In ISESD 2018 - International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning [8605491] (ISESD 2018 - International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISESD.2018.8605491

Graphene-MoS 2 SPR-based biosensor for urea detection . / Jamil, Nur Akmar; Khairulazdan, Nurkhairul Bariyah; N V Visvanathan, P. Susthitha Menon; Ahmad Rifqi, Md Zain; Hamzah, Azrul Azlan; Yeop Majlis, Burhanuddin.

ISESD 2018 - International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning. Institute of Electrical and Electronics Engineers Inc., 2019. 8605491 (ISESD 2018 - International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning).

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

Jamil, NA, Khairulazdan, NB, N V Visvanathan, PSM, Ahmad Rifqi, MZ, Hamzah, AA & Yeop Majlis, B 2019, Graphene-MoS 2 SPR-based biosensor for urea detection in ISESD 2018 - International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning., 8605491, ISESD 2018 - International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning, Institute of Electrical and Electronics Engineers Inc., 2018 International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning, ISESD 2018, Bandung, Indonesia, 23/10/18. https://doi.org/10.1109/ISESD.2018.8605491
Jamil NA, Khairulazdan NB, N V Visvanathan PSM, Ahmad Rifqi MZ, Hamzah AA, Yeop Majlis B. Graphene-MoS 2 SPR-based biosensor for urea detection In ISESD 2018 - International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning. Institute of Electrical and Electronics Engineers Inc. 2019. 8605491. (ISESD 2018 - International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning). https://doi.org/10.1109/ISESD.2018.8605491
Jamil, Nur Akmar ; Khairulazdan, Nurkhairul Bariyah ; N V Visvanathan, P. Susthitha Menon ; Ahmad Rifqi, Md Zain ; Hamzah, Azrul Azlan ; Yeop Majlis, Burhanuddin. / Graphene-MoS 2 SPR-based biosensor for urea detection ISESD 2018 - International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning. Institute of Electrical and Electronics Engineers Inc., 2019. (ISESD 2018 - International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning).
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