Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/187319
Título: Electronic Noses for Cyber-Physical Systems
Autor: Reis, Tiago
Ribeiro, Paulo A.
Ribeiro, Susana
Fino, Maria Helena
Raposo, Maria
Palavras-chave: CPS
Cyber-physical systems
e-nose
Humidity
Sensor
TiO2
VOC
Information Systems and Management
Data: 26-Jun-2025
Editora: Springer, Cham
Resumo: Cyber-physical systems (CPS) use algorithms to interpret sensor’s responses and model the physical environment they are connected to. Among the many application domains where CPS are used, the health-related field is one of the most promising areas that can benefit from CPS. This paper considers the development of sensors to be integrated into an electronic nose, e-nose, that will be responsible for collecting the information to be fed to the cyber component of a CPS. The work presented addresses the challenge of detecting Volatile Organic Compounds (VOCs) in the air at low concentrations with the main goal of diagnosing diseases through breath samples, using an electronic nose (e-nose) concept. Since the identification process of several VOCs can be highly sensitive to the level of humidity in the breath samples, the incorporation of a humidity sensor in the e-nose is proposed as a way of providing information that can be used to guarantee the accuracy of the results to be obtained. To this effect, a TiO2-based sensor was tested as a solution, and preliminary results are presented. Results demonstrated clearly that it is necessary to maintain the e-nose at a controlled humidity to ensure that the responses from the different e-nose sensors are correct and reliable.
Descrição: Funding Information: This work was funded by Fundação para a Ciência e Tecnologia (FCT, Portugal) through national funds [UIDB/04559/2020 (LIBPhys)], [UIDP/04559/2020 (LIBPhys)], [UI/BD/151321/2021], [LA/P/0117/2020], [PTDC/FIS-NAN/0909/2014], and Portuguese FCT program, Centre of Technology and Systems (CTS) CTS/00066. Publisher Copyright: © IFIP International Federation for Information Processing 2025.
Peer review: yes
URI: http://hdl.handle.net/10362/187319
DOI: https://doi.org/10.1007/978-3-031-97051-1_19
ISBN: 9783031970504
9783031970511
ISSN: 1868-4238
Aparece nas colecções:Home collection (FCT)

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