Enhancing Localized Surface Plasmon Resonance Response for Albumin Detection by Optimizing the Lateral Size of Hexagonal Gold Nanoparticles
The kidney is a human organ with numerous vital functions, mainly for blood filtration. Damage to the kidneys can be detected from albumin levels in urine, higher levels of albumin in urine indicate the kidney's filtration function is impaired. The latest breakthrough in the medical field is the use of localized sensor plasma resonance (LSPR) in the field of biosensors to detect albumin protein in urine. Using Finite-Difference Time-Domain (FDTD) simulation, the lateral size of hexagonal gold nanoparticles (AuNPs) is varied to increase the optimal LSPR. AuNPs are well-known as the most promising material for plasmonic applications. In several studies, the hexagonal geometry was reported to increase the surface area of nanoparticles as well as enhance the LSPR signal. Varying the geometry of the hexagonal AuNPs will affect their sensitivity and optical properties. In this study, the lateral size of the hexagonal AuNPs varied from 10 nm to 60 nm, with a controlled thickness of 30 nm. The absorption graph blue shifts with the peak decreasing until the graph has almost no peak as the lateral size decreases. The lateral size of 40 nm at a thickness of 30 nm was found to have the highest shifting response towards the change of refractive index, indicating good sensitivity for sensors. Simulation of hexagonal AuNPs-based LSPR detection of albumin concentrations of 0.35 –5.71 mM produces a sensitivity of 2.59 nm/mM, equivalent to 245.96 nm/RIU. The competitive performance and ease of detection procedures in real applications show the potential of the hexagonal AuNPs-based LSPR sensor to be further explored in developing alternative albumin detection techniques.
Authors
- Roer Eka Pawinanto (ORCID: https://orcid.org/0000-0002-8183-1249)
- Chandra Wulandari (ORCID: https://orcid.org/0000-0002-9990-2746)
- Yanurita Dwi Hapsari
- Lilik Hasanah (ORCID: https://orcid.org/0000-0002-7281-2556)
- Silva Nurfasha
- Ahmad Aminuddin
- Mohammad Arifin
- Budi Mulyanti (ORCID: https://orcid.org/0000-0002-4593-6289)
Institutions
- Indonesia University of Education (ID)
- Bandung Institute of Technology (ID)
- Sepuluh Nopember Institute of Technology (ID)
Publication Details
- Published
- 2024-08-19
- DOI
- https://doi.org/10.1109/icse62991.2024.10681380
- Citations
- 1
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.23
Funders
- Ministry of Education