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Active HORIZON European Commission

A Multiplexed Plasmo-Photonic Biosensing Platform For Rapid And Intelligent Sepsis Diagnosis At The Point-Of-Care

€3.74M EUR

Funder European Commission
Recipient Organization Aristotelio Panepistimio Thessalonikis
Country Greece
Start Date Jan 01, 2023
End Date Dec 31, 2026
Duration 1,460 days
Number of Grantees 13
Roles Participant; Coordinator; Associated Partner; Third Party
Data Source European Commission
Grant ID 101093166
Grant Description

AMBROSIA aims to provide the foundations for a multi-sensing future-proof Point of Care Unit for sepsis diagnosis offered by a CMOS compatible toolkit and enhanced by on-chip photonic neural network technology to provide an accurate and rapid diagnosis.

AMBROSIA will be investing in the established ultra-small-footprint and elevated sensitivity of integrated plasmo-photonic sensors reinforced by the well-known on-chip slow-light effect and micro-transfer printed lasers and photodiodes on Si3N4, as well as the functional processing and classification portfolio of integrated photonic neural network engines, towards painting the landscape of the next-coming disruption in sensor evolution, tailoring them in System-in-Package prototype assemblies, with the sensors being cheap disposable pluggable modules that can rapidly and accurately diagnose sepsis at the bedside in clinical environments.

AMBROSIA targets to demonstrate a Point of Care Unit incorporating: i) a switchable sensor area array, with each sensor area facilitating a pluggable, 8-channel label-free plasmo-photonic sensor for sepsis diagnosis with a sensitivity over 130.000nm/RIU and a Limit of Detection below 10-8 RIU for each interferometric sensor, ii) an embedded Si3N4 photonic neural network processing and classifying at the same time the data from at least 7 biomarkers with zero-power providing in the first minutes an accurate and rapid diagnosis for sepsis, iii) Micro-transfer printed lasers and photodetectors on chip that will drastically decrease costs of both the sensing and neural network modules, and render the sensor arrays disposable.

All Grantees

Universite Dijon Bourgogne; Biopix Dna Technology Anonymi Etairia; Aristotelio Panepistimio Thessalonikis; Microliquid Sl; Fundacio Institut Catala de Nanociencia I Nanotecnologia; X-Celeprint Limited; University of Southampton; Panepistimio Ioanninon; Smart Photonics Bv; Argotech As; Centre National de la Recherche Scientifique CNRS; Fundacio Hospital Universitari Vall D'Hebron - Institut de Recerca; Ligentec Sa

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