A modular sensing platform on silicon for the mid-infrared
Photonics-based sensing in the mid-IR has been proven to be the key technology for in a plethora of applications ranging from environmental monitoring to industrial process control, medical diagnostics, water quality, medical and more. Compared to other sensing approaches, mid-IR spectroscopy-based sensing enables fast, reliable, and consumables-free operation for the detection of trace amounts to high concentration of the targeted analytes. The interest in the technology has been significantly increased due to the maturing of the Quantum Cascade Lasers (QCLs). QCLs offer an up to 2-orders of magnitude enhancement in the signal-to-noise ratio while enabling the direct access to the characteristic molecular fingerprint region of the targeted analytes. The Horizon Europe project M3NIR develops a modular sensing platform for the mid-IR, to significantly boost the technology in terms of performance (low limit of detection, multiple-species detection), footprint (co-integrating of lasers and components) reduction of energy consumption and cost. M3NIR will demonstrate its novel approaches for the monitoring of GHG and ships emission, detection of phosphates and nitrates in water and the breath analysis for health and well-being related applications.
Authors
- Θωμάς Νίκας (ORCID: https://orcid.org/0000-0003-2501-0777)
- Αναστάσιος Παπαδόπουλος (ORCID: https://orcid.org/0000-0002-4441-3443)
- Jeroen Missinne (ORCID: https://orcid.org/0000-0002-3470-620X)
- Geert Van Steenberge (ORCID: https://orcid.org/0000-0001-8574-1235)
- Panagiotis Georgiadis (ORCID: https://orcid.org/0000-0003-4889-1095)
- G. Flores-Rangel (ORCID: https://orcid.org/0000-0002-0338-2345)
- Miltiadis Vasileiadis
- Stéphane Blaser (ORCID: https://orcid.org/0000-0001-7579-0148)
- Jakub Zverina
- Tobias Gresch (ORCID: https://orcid.org/0009-0007-1227-9933)
- Johannes P. Waclawek (ORCID: https://orcid.org/0000-0003-0291-487X)
- Kaspar Suter
- Μαριαλένα Ακριώτου
- Konstantinos Krilakis
- Richard Maulini (ORCID: https://orcid.org/0000-0002-6568-0823)
- Harindra Kumar Kannojia (ORCID: https://orcid.org/0000-0001-9564-7453)
- M. Bolea (ORCID: https://orcid.org/0000-0002-9262-1802)
- Boris Mizaikoff (ORCID: https://orcid.org/0000-0002-5583-7962)
- Alicja Dabrowska (ORCID: https://orcid.org/0000-0002-3074-5674)
- Bernhard Lendl (ORCID: https://orcid.org/0000-0003-3838-5842)
- Bart Kuyken (ORCID: https://orcid.org/0000-0002-8745-7833)
- Dimitris Syvridis
- Harald Moser (ORCID: https://orcid.org/0000-0002-6503-854X)
- Dongdong Wang (ORCID: https://orcid.org/0000-0002-6278-0706)
- Christoph Wagner (ORCID: https://orcid.org/0000-0003-4530-4094)
- D. Gachet
- T. Zhai
- P. Baerenklau
- Maria Spanou
- I. Keravnos
Institutions
- TU Wien (AT)
- Universität Ulm (DE)
- National and Kapodistrian University of Athens (GR)
- Ghent University (BE)
- Cyprus Research and Innovation Center (Cyprus) (CY)
- Alpes Lasers (Switzerland) (CH)
- Innovative Technologies Center (Greece) (GR)
- Microfluidic ChipShop (Germany) (DE)
Publication Details
- Published
- 2024-11-10
- DOI
- https://doi.org/10.1109/ipc60965.2024.10799786
- Citations
- 1
- Primary Topic
- CCD and CMOS Imaging Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.21