Multi-Disease Detection Using a Prism-Based Surface Plasmon Resonance Sensor: A TMM and FEM Approach-Reference-Cited by-同舟云学术

Multi-Disease Detection Using a Prism-Based Surface Plasmon Resonance Sensor: A TMM and FEM Approach

Published:2024-01 Issue:1 Volume:23 Page:51-62
ISSN:1536-1241
Container-title:IEEE Transactions on NanoBioscience
language:
Short-container-title:IEEE Trans.on Nanobioscience

Author:

Rumi Rabeya Bosrin¹,Paul Alok Kumar¹^ORCID,Alyami Salem A.²^ORCID,Moni Mohammad Ali³^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Rajshahi University of Engineering and Technology, Kazla, Rajshahi, Bangladesh

2. Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

3. AI and Data Science, School of Health and Rehabilitation Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, QLD, Australia

Funder

Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University

Research Partnership Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Pharmaceutical Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/7728/10380194/10153091.pdf?arnumber=10153091

Reference53 articles.

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4. A theoretical analysis on sensitivity improvement of an SPR refractive index sensor with graphene and barium titanate nanosheets

5. Sensitivity enhancement of surface plasmon resonance sensor with 2D material covered noble and magnetic material (Ni)

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