Issue |
EPJ Web Conf.
Volume 305, 2024
6th International Conference on Applications of Optics and Photonics (AOP2024)
|
|
---|---|---|
Article Number | 00007 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/epjconf/202430500007 | |
Published online | 15 October 2024 |
https://doi.org/10.1051/epjconf/202430500007
Design and Development of a Color Picker System to Integrate in POC Device Systems
1 ISEL—Instituto Superior de Engenharia de Lisboa, 1949-014 Lisboa, Portugal
2 Centro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Tecnico IST, Universidade de Lisboa, 1049-001 Lisboa, Portugal
3 CTS—Centre of Technology and Systems and Associated Lab of Intelligent Systems (LASI), 2829-516 Caparica, Portugal
4 DEE-FCT-UNL, Department of Electrotechnical and Computer Engineering of the Faculty of Science and Technology of the Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
c.serafinelli@campus.fct.unl.pt (C.S.)
Published online: 15 October 2024
Nowadays is increasing the demand for miniaturized, user-friendly, automated, and portable sensing systems able to provide a fast and reliable response. In this context, colorimetric detection has emerged for its intrinsic advantages, such as simplicity and rapidity, but also for the outstanding development of novel materials, such as plasmonic nanoparticles, and new technologies. Here, the Color Picker system, a system reproducing in the ba has been developed and tested on a plasmonic paper. The aim is to provide a tool for a colorimetric detection that can be successively integrated in next generation diagnostic devices for real world applications.
Key words: Color Sensor / RGB Display / AuNPs / Plasmonic Paper
© 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.