Issue |
EPJ Web Conf.
Volume 309, 2024
EOS Annual Meeting (EOSAM 2024)
|
|
---|---|---|
Article Number | 04015 | |
Number of page(s) | 2 | |
Section | Topical Meeting (TOM) 4- BioPhotonics and Biosensors | |
DOI | https://doi.org/10.1051/epjconf/202430904015 | |
Published online | 31 October 2024 |
https://doi.org/10.1051/epjconf/202430904015
Optimizing Plasmonic Microarray Biosensors: Custom Optical System for Enhanced Evaluation and Characterization
1 Optimal Optik Ltd., Dayka Gábor u. 6/b, 1118 Budapest, Hungary
2 Leibniz Institute of Photonic Technology, (Leibniz-IPHT) Department Nanobiophotonics A.-Einstein-Str. 9, 07745 Jena, Germany
3 Budapest University of Technology and Economics, XI. Magyar tudósok körútja 2. I ép. E szárny, H-1117 Budapest, Hungary
* e-mail: csoke.lorant@edu.bme.hu
** e-mail: andrea.csaki@leibniz-ipht.de
*** e-mail: kollarzs@mit.bme.hu
Published online: 31 October 2024
This 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.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.