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Plasmonic wave assessment via optomechatronics system for biosensor application

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 14 No. 2 (2024)

DOI
10.11591/ijece.v14i2.pp1382-1389
ISSN
2722-2578, 2088-8708
Published
2024-04-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Transduction biosensor (mass-based, optical and electrochemical) involves analysis, recognition and amplification in the acquired sample. In this work, the plasmonic-based biosensor was employed without using tags. It is crucial to determine angles of Brewster (Ɵb) and critical (Ɵc) for generating plasmonic resonance (Ɵr). The objective is to verify a cost-effective plasmonic biosensor through Fresnel simulation and experimentation of a developed optomechatronics system. The borosilicate glass, Au and Air layers were simulated with the Winspall 3.02 simulator. The optomechatronics system consists of: 1-optics (650 nm laser, slit, polarizer, photodiode), 2-mechanical (bipolar stepper motors, gears, stages) and 3-electronics (PIC18F4550, liquid crystal display (LCD) and drivers). Later, the software performs angular interrogation by reading the reflected beam from a rotating prism at 0.1125. Experimentation to simulation accuracy indicates that percentage differences for Ɵr and Ɵc are 1% and 0.2%, respectively. In conclusion, excellence verification was successfully achieved between experimentation and simulation. It proved that the low-cost optomechatronics system is capable and reliable to be deployed for the biosensor application.

Collaboration network of the authors

13 authors · 34 co-authorship links · 7 across different organisations

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  • International Islamic University Malaysia
  • University of Kuala Lumpur
  • Ministry of Health
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Noreha Abdul MalikInternational Islamic University Malaysia2
Teddy Surya GunawanInternational Islamic University Malaysia1
W. IdrisInternational Islamic University Malaysia1
Rashidah Funke OlanrewajuInternational Islamic University Malaysia1
Ani Liza AsnawiInternational Islamic University Malaysia1
N. F. Mohd AzminInternational Islamic University Malaysia1
Ahmad Zamani JusohInternational Islamic University Malaysia1
Farah Nadia Mohd IsaInternational Islamic University Malaysia1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Plasmonic wave assessment via optomechatronics system for biosensor application</dc:title><dc:creator>Abdullah, Muhammad Rosli</dc:creator><dc:creator>Harun, Noor Hasmiza</dc:creator><dc:creator>Ibrahim, Siti Noorjannah</dc:creator><dc:creator>Abdul Wahab, Azimah</dc:creator><dc:creator>Jamilan, Mohd Azerulazree</dc:creator><dc:description>&lt;jats:p&gt;Transduction biosensor (mass-based, optical and electrochemical) involves analysis, recognition and amplification in the acquired sample. In this work, the plasmonic-based biosensor was employed without using tags. It is crucial to determine angles of Brewster (Ɵb) and critical (Ɵc) for generating plasmonic resonance (Ɵr). The objective is to verify a cost-effective plasmonic biosensor through Fresnel simulation and experimentation of a developed optomechatronics system. The borosilicate glass, Au and Air layers were simulated with the Winspall 3.02 simulator. The optomechatronics system consists of: 1-optics (650 nm laser, slit, polarizer, photodiode), 2-mechanical (bipolar stepper motors, gears, stages) and 3-electronics (PIC18F4550, liquid crystal display (LCD) and drivers). Later, the software performs angular interrogation by reading the reflected beam from a rotating prism at 0.1125. Experimentation to simulation accuracy indicates that percentage differences for Ɵr and Ɵc are 1% and 0.2%, respectively. In conclusion, excellence verification was successfully achieved between experimentation and simulation. It proved that the low-cost optomechatronics system is capable and reliable to be deployed for the biosensor application.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2024-04-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v14i2.pp1382-1389</dc:identifier><dc:identifier>10.11591/ijece.v14i2.pp1382-1389</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 14 No 2 (2024); 1382</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/33664/17215</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>