Optimizing Plasmonic Microarray Biosensors: Custom Optical System for Enhanced Evaluation and Characterization

\nThis paper presents the design and implementation of a tailored optical system for rapid characterization of transmission-based localized surface plasmon resonance (LSPR) biosensors. The system incorporates a motorized monochromator, offering extreme versatility in experimenting with wavelength resolution and bandwidth of the illumination. This setup streamlines the process of determining optimal chip design parameters such as the density of nanoparticles and the number of detection wavelengths required, as measurements are fully automated and software-driven. Furthermore, the system facilitates straightforward detection of manufacturing errors, including misaligned spots or inhomogeneous particle distribution, enhancing overall efficiency and reliability in biosensor evaluation.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-31
DOI
https://doi.org/10.1051/epjconf/202430904015/pdf
Primary Topic
Structural and Chemical Analysis of Organic and Inorganic Compounds
Type
article
Field-Weighted Citation Impact
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article

Optimizing Plasmonic Microarray Biosensors: Custom Optical System for Enhanced Evaluation and Characterization

Springer Link (Chiba Institute of Technology)
Structural and Chemical Analysis of Organic and Inorganic Compounds
article

Optimizing Plasmonic Microarray Biosensors: Custom Optical System for Enhanced Evaluation and Characterization

article en

Abstract

\nThis paper presents the design and implementation of a tailored optical system for rapid characterization of transmission-based localized surface plasmon resonance (LSPR) biosensors. The system incorporates a motorized monochromator, offering extreme versatility in experimenting with wavelength resolution and bandwidth of the illumination. This setup streamlines the process of determining optimal chip design parameters such as the density of nanoparticles and the number of detection wavelengths required, as measurements are fully automated and software-driven. Furthermore, the system facilitates straightforward detection of manufacturing errors, including misaligned spots or inhomogeneous particle distribution, enhancing overall efficiency and reliability in biosensor evaluation.\n

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 60%
Structural and Chemical Analysis of Organic and Inorganic Compounds
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