TY - JOUR
T1 - An affordable optical detection scheme for LSPR sensors
AU - Mansour, Rima
AU - Serafinelli, Catarina
AU - Fantoni, Alessandro
AU - Jesus, Rui
N1 - Funding Information:
info:eu-repo/grantAgreement/FCT//2022.13579.BD/PT#
info:eu-repo/grantAgreement/FCT//2021.09347.BD/PT#
info:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F00066%2F2020/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00066%2F2020/PT#
project IPL/IDI&CA2023/LUMINA ISEL.
© The Authors, published by EDP Sciences.
PY - 2024/10/15
Y1 - 2024/10/15
N2 - Biosensing technologies are essential for advancing healthcare by enabling rapid point-of-care (POC) testing and diagnosis, potentially saving lives. Biosensors, such as Localized Surface Plasmon Resonance (LSPR) sensors with gold nanoparticles (AuNPs), show promise in early disease diagnosis due to their simple structure and high sensitivity. However, their commercialization is limited by high production costs and the need for precise optoelectronic systems. This article proposes an affordable optical detection scheme for LSPR sensors named BioColor. BioColor uses a color CMOS camera to capture images of light passing through the sensor elements, which are plasmonic papers composed of AuNPs. Variations in the refractive index over the sensor's surface cause changes in the color of the transmitted light. This color change can be detected through image processing algorithms and the detection results are visualized on the BioColor mobile app, providing instant automated access to sensing outcomes.
AB - Biosensing technologies are essential for advancing healthcare by enabling rapid point-of-care (POC) testing and diagnosis, potentially saving lives. Biosensors, such as Localized Surface Plasmon Resonance (LSPR) sensors with gold nanoparticles (AuNPs), show promise in early disease diagnosis due to their simple structure and high sensitivity. However, their commercialization is limited by high production costs and the need for precise optoelectronic systems. This article proposes an affordable optical detection scheme for LSPR sensors named BioColor. BioColor uses a color CMOS camera to capture images of light passing through the sensor elements, which are plasmonic papers composed of AuNPs. Variations in the refractive index over the sensor's surface cause changes in the color of the transmitted light. This color change can be detected through image processing algorithms and the detection results are visualized on the BioColor mobile app, providing instant automated access to sensing outcomes.
UR - http://www.scopus.com/inward/record.url?scp=85212183119&partnerID=8YFLogxK
U2 - 10.1051/epjconf/202430500025
DO - 10.1051/epjconf/202430500025
M3 - Conference article
AN - SCOPUS:85212183119
SN - 2101-6275
VL - 305
JO - EPJ Web of Conferences
JF - EPJ Web of Conferences
M1 - 00025
T2 - 6th International Conference on Applications of Optics and Photonics, AOP 2024
Y2 - 16 July 2024 through 19 July 2024
ER -