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All Journal International Journal of Electrical and Computer Engineering Makara Journal of Science Science, Technology, and Communication Journal
Mohamad Syahadi
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Computer Science & IT Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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Performance evaluation of single-mode fiber optic-based surface plasmon resonance sensor on material and geometrical parameters Tazi, Imam; Riana, Dedi; Syahadi, Mohamad; Muthmainnah, Muthmainnah; Sasmitaninghidayah, Wiwis; Aprilia, Lia; Tresna, Wildan Panji
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp5072-5082

Abstract

Surface plasmon resonance (SPR) sensors are proficient at detecting minute changes in refractive index, making them ideal for biomolecule detection. Traditional prism-based SPR sensors encounter miniaturization challenges, encouraging exploration of alternatives like fiber optic-based SPR (FO-SPR) sensors. This study comprehensively investigates the effects of material and geometrical parameters on the performance of single-mode FO-SPR sensors using Maxwell's equation solver software based on the finite-difference time-domain (FDTD) method. The findings highlight the influence of plasmonic thin film materials and thickness on SPR spectrum profiles and sensitivity. Silver (Ag) demonstrates superior performance compared to copper (Cu) and gold (Au) in transmission type, achieving a sensitivity of up to 2×103 nm/RIU, while the sensitivities of Cu and Au are lower. Probe length and core diameter impact spectrum profiles, specifically resonance depth, without affecting sensitivity. Furthermore, variations in core refractive index influence both spectrum profiles and sensitivity. Probe types significantly affect both spectrum profiles and sensitivity, with the reflection type surpassing the transmission type. These results provide suggestions for optimizing FO-SPR sensors in biotechnological applications.
Novel approach peak tracking method for FBG: Gaussian polynomial technique Meyzia, Bunga; Emrinaldi, Tengku; Wanara, Nadiah; Hanto, Dwi; Widyatmoko, Bambang; Rianaris, Agitta; Syahadi, Mohamad; Hairi, Haryana Mohd
Science, Technology and Communication Journal Vol. 4 No. 3 (2024): SINTECHCOM Journal (June 2024)
Publisher : Lembaga Studi Pendidikan and Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v4i3.262

Abstract

This paper presents a novel approach for tracking the peaks in the FBG spectrum using the Gaussian polynomial method. The proposed algorithm involves preprocessing the FBG signal, detecting the peaks, and fitting the peaks with a Gaussian function. The performance of the algorithm is evaluated using both simulated and experimental FBG spectra. This method involves fitting a Gaussian function to the peak of interest and using the fitted parameters to estimate peak height, width, and location. The method is highly accurate and precise and can provide detailed information about peak shape and position, making it effective for tracking complex or overlapping peaks. However, the method can be computationally intensive and may require careful selection of initial parameters to ensure accurate results. Despite these limitations, the Gaussian polynomial method is a powerful tool for peak tracking and analysis in various application.
Plasmonic Nanoparticle Integration on Fiber Optic: Role of Organic Linker and Functionalization Length in Refractive Index Sensing Ilmiyah, Shela; Syahadi, Mohamad; Muflikhah, Muflikhah; Pradana, Yuwana; Supardi, Zainul Arifin Iman; Darmadi, Iwan; Aprilia, Lia
Makara Journal of Science
Publisher : UI Scholars Hub

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Abstract

Nanoplasmonic fiber optic sensors leverage the optical fiber’s inherent compactness and surface sensitivity via evanescent-field interactions with the localized surface plasmon resonance of the metallic nanoparticles. One of the popular approaches is self-assembly owing to its relatively low cost. Despite its low cost, the self-assembly technique has low reproducibility and exhibits low sensitivity because of low nanoplasmonic coverage on the fiber optic surface. In this study, several fabrication techniques were explored to assess the refractive index sensitivity by comparing three common organosilanes, i.e., (3-Aminopropyl)triethoxysilane (APTES), (3-Aminopropyl)trimethoxysilane, and (3-Mercaptopropyl)trimethoxysilane. Comparative analyses assessed the anchoring efficiency of the three silanes, sensor reproducibility, functionalization-length sensitivity, and the sensor’s ability in glucose detection (5%–50%) in the reflection and transmission modes. As a result, the APTES-promoted sensor exhibited the best sensing sensitivity among the others, likely owing to their more uniform monolayer formation and the more favorable interaction between NH₂ groups and Au nanoparticles compared with SH groups. Glucose sensing displays a sensitivity of 0.196 nm/%glucose (for reflection) and 0.389 nm/%glucose (for transmission). The limits of detection were 19.44% (for reflection) and 5.71% (for transmission). This study provides important perspectives for the potential use of nanoplasmonic fiber optic sensors in biological and chemical sensing.
Co-Authors Darmadi, Iwan Dwi Hanto Hadi Sardjono Hairi, Haryana Mohd Ilmiyah, Shela Imam Tazi Lia Aprilia Lukluk Khairiyati Meyzia, Bunga Muflikhah, Muflikhah Muthmainnah Muthmainnah Pradana, Yuwana Riana, Dedi Rianaris, Agitta Supardi, Zainul Arifin Iman Tengku Emrinaldi Wanara, Nadiah Widyatmoko, Bambang Wildan Panji Tresna Wiwis Sasmitaninghidayah