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Projects / Programmes source: ARIS

Development of integrated multi-channel artificial nose for detection of cancer

Research activity

Code Science Field Subfield
2.09.00  Engineering sciences and technologies  Electronic components and technologies   

Code Science Field
2.02  Engineering and Technology  Electrical engineering, Electronic engineering, Information engineering 
Keywords
sensors, electoronic nose, surface, cancer detection, microelectronics, soft matter
Evaluation (metodology)
source: COBISS
Organisations (4) , Researchers (26)
0106  Jožef Stefan Institute
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  29523  PhD Anton Gradišek  Physics  Researcher  2022 - 2025  515 
2.  09089  PhD Igor Muševič  Physics  Head  2022 - 2025  785 
3.  25670  PhD Miha Ravnik  Physics  Researcher  2022 - 2025  487 
4.  12338  PhD Miha Škarabot  Physics  Researcher  2022 - 2025  271 
5.  39157  PhD Marion Antonia Van Midden Mavrič  Physics  Researcher  2022 - 2024  55 
0302  Institute of Oncology Ljubljana
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  51848  PhD Tim Božič  Medical sciences  Young researcher  2022  87 
2.  14575  PhD Maja Čemažar  Oncology  Researcher  2022 - 2025  1,546 
3.  33227  PhD Tanja Jesenko  Oncology  Researcher  2022 - 2025  202 
4.  28387  PhD Urška Kamenšek  Oncology  Researcher  2022 - 2025  210 
5.  19058  PhD Simona Kranjc Brezar  Medical sciences  Researcher  2022 - 2025  363 
6.  36367  PhD Urša Lampreht Tratar  Oncology  Researcher  2022 - 2025  155 
7.  32175  PhD Boštjan Markelc  Medical sciences  Researcher  2022 - 2025  266 
8.  34373  PhD Maša Omerzel  Medical sciences  Researcher  2022 - 2023  218 
9.  08800  PhD Gregor Serša  Oncology  Researcher  2022 - 2025  1,598 
10.  14576  PhD Primož Strojan  Oncology  Researcher  2022 - 2025  847 
11.  37534  PhD Katarina Žnidar  Medical sciences  Researcher  2022 - 2025  78 
1538  University of Ljubljana, Faculty of Electrical Engineering
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  51518  Miha Cacovich  Engineering sciences and technologies  Researcher  2023 - 2025 
2.  18020  Boštjan Fink    Technical associate  2022 - 2025 
3.  00166  PhD Drago Strle  Electronic components and technologies  Researcher  2022 - 2025  248 
4.  01927  PhD Janez Trontelj  Electronic components and technologies  Researcher  2022 - 2025  589 
5.  10476  PhD Janez Trontelj ml.  Electronic components and technologies  Researcher  2022 - 2025  65 
1554  University of Ljubljana, Faculty of Mathematics and Physics
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  33197  PhD Simon Čopar  Physics  Researcher  2022 - 2025  183 
2.  38196  PhD Aleksander Matavž  Physics  Researcher  2023 - 2025  89 
3.  09089  PhD Igor Muševič  Physics  Researcher  2022 - 2025  785 
4.  25670  PhD Miha Ravnik  Physics  Researcher  2022 - 2025  487 
5.  56312  Peter Ropač  Physics  Researcher  2022 - 2025  21 
Abstract
This ambitious interdisciplinary applied proposal builds on a line of results from our previous works, with the core idea, whether can we create and apply a highly sensitive differential capacitance sensor system for gas. We are at the point where we have a developed own electronic nose sensor system with impressive sensitivity– of 3parts per trillion - ppt – three (!) orders of magnitude better than current state of the art which today works typically in units of ppb. Here, this applied interdisciplinary microelectronics-physics-medicine proposal will redesign and apply an integrated multi-channel artificial nose system for detection of cancer using detection of volatile organic compounds in exhaled gas. We will advance our electronic nose sensor system to be able to “smell cancer”, specifically cancer of head and neck, which will require development of the cancer-specific chemical functionalisation of the sensors within the electronic nose system, system calibration and optimisation. We will apply artificial intelligence (AI) algorithms for reading and discrimination of inherently complex non-specific multi-channel sensor data, to reach the needed high accuracy of detection. The major medical scientific novelty of this project will be knowledge on the role, types and variability of volatile organic compounds in exhaled gas, as today highly unknown signatures of the general homeostasis of a living individual, with the exhaled gas collected in the principal Slovenian oncology institution. The main deliverables of the project will include development and production of two electronic nose sensor demonstrators, protocols and methods for collection and temporary storage of exhaled gas, artificial intelligence identification –supervised and non-supervised- of cancer data in a test (5-10 samples) and a pilot group study (cca 200 samples). The project will be implemented by 4 academic and 1 industrial partner which are among the world strong names in their respective fields of expertise and innovators in the general interdisciplinary field of this proposal, as underlain with highest scientific standards (publications include Science Adv 2021, 2xPRL 2020, Cancer Treat Rev. 2019, 2x PRX 2019, Nature Comm 2019, Sensors 2017, Nature Phys 2017) and total of 9 international patents (EU, US, international) from the project coPIs. The project will create a novel sensing technology for the detection of cancer of major importance for general public health, and as of clear interest as a high potential business opportunity for the involved Slovenian high-tech company RLS. Moreover, the developed methodology and our electronic nose sensor system shows no principal limitations for detection of other general gas vapour traces or signals, possibly enabling medical and biomedical applications widely beyond the focus and scope of this project. Finally, this project will contribute to the cutting edge of today's sensor science by creating novel technology and knowledge for detection –i.e. electronical smelling- of patterns and compositions of diverse airy molecular fingerprints and gases, working at the intersection of microelectronics, physics, data science, and medicine, as required by this interdisciplinary challenge.
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