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Development of Photonic Multi-Sensing Systems Based on Molecular Gates Biorecognition and Plasmonic Sensors: The PHOTONGATE Project

Authors :
Nieves, Oscar
de Zárate, David Ortiz
Aznar, Elena
Caballos, Isabel
Garrido, Eva
Martínez-Máñez, Ramón
Dortu, Fabian
Bernier, Damien
Mengual-Chuliá, Beatriz
López-Labrador, F. Xavier
Sloth, Jens J.
Loeschner, Katrin
Duedahl-Olesen, Lene
Prado, Natalia
Hervello, Martín
Menéndez, Armando
Gransee, Rainer
Klotzbuecher, Thomas
Gonçalves, M. Clara
Zare, Fahimeh
López, Ana Fuentes
Fernández Segovia, Isabel
Baviera, Jose M. Barat
Salcedo, Jaime
Recuero, Sara
Simón, Santiago
Fernández Blanco, Ana
Peransi, Sergio
Gómez-Gómez, Maribel
Griol, Amadeu
Nieves, Oscar
de Zárate, David Ortiz
Aznar, Elena
Caballos, Isabel
Garrido, Eva
Martínez-Máñez, Ramón
Dortu, Fabian
Bernier, Damien
Mengual-Chuliá, Beatriz
López-Labrador, F. Xavier
Sloth, Jens J.
Loeschner, Katrin
Duedahl-Olesen, Lene
Prado, Natalia
Hervello, Martín
Menéndez, Armando
Gransee, Rainer
Klotzbuecher, Thomas
Gonçalves, M. Clara
Zare, Fahimeh
López, Ana Fuentes
Fernández Segovia, Isabel
Baviera, Jose M. Barat
Salcedo, Jaime
Recuero, Sara
Simón, Santiago
Fernández Blanco, Ana
Peransi, Sergio
Gómez-Gómez, Maribel
Griol, Amadeu
Source :
Nieves , O , de Zárate , D O , Aznar , E , Caballos , I , Garrido , E , Martínez-Máñez , R , Dortu , F , Bernier , D , Mengual-Chuliá , B , López-Labrador , F X , Sloth , J J , Loeschner , K , Duedahl-Olesen , L , Prado , N , Hervello , M , Menéndez , A , Gransee , R , Klotzbuecher , T , Gonçalves , M C , Zare , F , López , A F , Fernández Segovia , I , Baviera , J M B , Salcedo , J , Recuero , S , Simón , S , Fernández Blanco , A , Peransi , S , Gómez-Gómez , M & Griol , A 2023 , ' Development of Photonic Multi-Sensing Systems Based on Molecular Gates Biorecognition and Plasmonic Sensors: The PHOTONGATE Project ' , Sensors , vol. 23 , no. 20 , 8548 .
Publication Year :
2023

Abstract

This paper presents the concept of a novel adaptable sensing solution currently being developed under the EU Commission-founded PHOTONGATE project. This concept will allow for the quantification of multiple analytes of the same or different nature (chemicals, metals, bacteria, etc.) in a single test with levels of sensitivity and selectivity at/or over those offered by current solutions. PHOTONGATE relies on two core technologies: a biochemical technology (molecular gates), which will confer the specificity and, therefore, the capability to be adaptable to the analyte of interest, and which, combined with porous substrates, will increase the sensitivity, and a photonic technology based on localized surface plasmonic resonance (LSPR) structures that serve as transducers for light interaction. Both technologies are in the micron range, facilitating the integration of multiple sensors within a small area (mm2). The concept will be developed for its application in health diagnosis and food safety sectors. It is thought of as an easy-to-use modular concept, which will consist of the sensing module, mainly of a microfluidics cartridge that will house the photonic sensor, and a platform for fluidic handling, optical interrogation, and signal processing. The platform will include a new optical concept, which is fully European Union Made, avoiding optical fibers and expensive optical components.

Details

Database :
OAIster
Journal :
Nieves , O , de Zárate , D O , Aznar , E , Caballos , I , Garrido , E , Martínez-Máñez , R , Dortu , F , Bernier , D , Mengual-Chuliá , B , López-Labrador , F X , Sloth , J J , Loeschner , K , Duedahl-Olesen , L , Prado , N , Hervello , M , Menéndez , A , Gransee , R , Klotzbuecher , T , Gonçalves , M C , Zare , F , López , A F , Fernández Segovia , I , Baviera , J M B , Salcedo , J , Recuero , S , Simón , S , Fernández Blanco , A , Peransi , S , Gómez-Gómez , M & Griol , A 2023 , ' Development of Photonic Multi-Sensing Systems Based on Molecular Gates Biorecognition and Plasmonic Sensors: The PHOTONGATE Project ' , Sensors , vol. 23 , no. 20 , 8548 .
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1426749882
Document Type :
Electronic Resource