REDFINCH | mid infraREd Fully Integrated CHemical sensors

Summary
Mid-infrared photonic integrated circuits (mid-IR PICs) are the subject of increasing interest due to the large amount of sensing applications in the 2-20 µm wavelength range. Most molecules exhibit absorption fingerprints in the mid-IR range corresponding to their rotational/vibrational energies. Tunable-diode laser absorption spectroscopy thus allows detection and concentration measurements of many biological and chemical species. This is of crucial interest for many societal applications such as health monitoring and diagnosis, detection of biological compounds, monitoring of toxic gases, or of greenhouse gas emission responsible for global warming, to name but a few. However, state of the art sensing systems are large and delicate which greatly hampers potential applications.
REDFINCH will use hybrid and monolithic integration of III-V diode and Interband Cascade/Quantum Cascade materials with silicon to create high performance cost effective sensors based on Photonic Integrated Circuits. Integration creates extremely robust systems, in which discrete components are replaced by on-chip equivalents, giving a simultaneous improvement in ease of use and a reduction in cost. Silicon photonics leverages the advantages of high performance CMOS technology, providing low cost mass manufacture, high fidelity reproduction of designs, and access to high refractive index contrasts that enable high performance nanophotonics.
REDFINCH will realise three fully-integrated PIC-based chemical sensor demonstrators for;
1) Process gas analysis in refineries
2) Gas leak detection in petrochemical plants
3) Liquid sensor for protein analysis in the dairy industry.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/780240
Start date: 01-12-2017
End date: 31-12-2021
Total budget - Public funding: 3 993 211,00 Euro - 3 993 211,00 Euro
Cordis data

Original description

Mid-infrared photonic integrated circuits (mid-IR PICs) are the subject of increasing interest due to the large amount of sensing applications in the 2-20 µm wavelength range. Most molecules exhibit absorption fingerprints in the mid-IR range corresponding to their rotational/vibrational energies. Tunable-diode laser absorption spectroscopy thus allows detection and concentration measurements of many biological and chemical species. This is of crucial interest for many societal applications such as health monitoring and diagnosis, detection of biological compounds, monitoring of toxic gases, or of greenhouse gas emission responsible for global warming, to name but a few. However, state of the art sensing systems are large and delicate which greatly hampers potential applications.
REDFINCH will use hybrid and monolithic integration of III-V diode and Interband Cascade/Quantum Cascade materials with silicon to create high performance cost effective sensors based on Photonic Integrated Circuits. Integration creates extremely robust systems, in which discrete components are replaced by on-chip equivalents, giving a simultaneous improvement in ease of use and a reduction in cost. Silicon photonics leverages the advantages of high performance CMOS technology, providing low cost mass manufacture, high fidelity reproduction of designs, and access to high refractive index contrasts that enable high performance nanophotonics.
REDFINCH will realise three fully-integrated PIC-based chemical sensor demonstrators for;
1) Process gas analysis in refineries
2) Gas leak detection in petrochemical plants
3) Liquid sensor for protein analysis in the dairy industry.

Status

CLOSED

Call topic

ICT-30-2017

Update Date

27-10-2022
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Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
H2020-EU.2.1.1.0. INDUSTRIAL LEADERSHIP - ICT - Cross-cutting calls
H2020-ICT-2017-1
ICT-30-2017 Photonics KET 2017