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Article

Assessing over Time Performance of an eNose Composed of 16 Single-Type MOX Gas Sensors Applied to Classify Two Volatiles

Robotics Laboratory, Universitat de Lleida, Jaume II, 69, 25001 Lleida, Spain
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Academic Editors: Stéphane Le Calvé and Sulaiman Khan
Chemosensors 2022, 10(3), 118; https://doi.org/10.3390/chemosensors10030118
Received: 22 February 2022 / Revised: 14 March 2022 / Accepted: 16 March 2022 / Published: 19 March 2022
(This article belongs to the Special Issue Advances in Analytical Systems for Gaseous Mixture)
This paper assesses the over time performance of a custom electronic nose (eNose) composed of an array of commercial low-cost and single-type miniature metal-oxide (MOX) semiconductor gas sensors. The eNose uses 16 BME680 versatile sensor devices, each including an embedded non-selective MOX gas sensor that was originally proposed to measure the total volatile organic compounds (TVOC) in the air. This custom eNose has been used previously to detect ethanol and acetone, obtaining initial promising classification results that worsened over time because of sensor drift. The current paper assesses the over time performance of different classification methods applied to process the information gathered from the eNose. The best classification results have been obtained when applying a linear discriminant analysis (LDA) to the normalized conductance of the sensing layer of the 16 MOX gas sensors available in the eNose. The LDA procedure by itself has reduced the influence of drift in the classification performance of this single-type eNose during an evaluation period of three months. View Full-Text
Keywords: electronic nose; array of MOX gas sensors; linear discriminant analysis; LDA electronic nose; array of MOX gas sensors; linear discriminant analysis; LDA
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MDPI and ACS Style

Palacín, J.; Clotet, E.; Rubies, E. Assessing over Time Performance of an eNose Composed of 16 Single-Type MOX Gas Sensors Applied to Classify Two Volatiles. Chemosensors 2022, 10, 118. https://doi.org/10.3390/chemosensors10030118

AMA Style

Palacín J, Clotet E, Rubies E. Assessing over Time Performance of an eNose Composed of 16 Single-Type MOX Gas Sensors Applied to Classify Two Volatiles. Chemosensors. 2022; 10(3):118. https://doi.org/10.3390/chemosensors10030118

Chicago/Turabian Style

Palacín, Jordi, Eduard Clotet, and Elena Rubies. 2022. "Assessing over Time Performance of an eNose Composed of 16 Single-Type MOX Gas Sensors Applied to Classify Two Volatiles" Chemosensors 10, no. 3: 118. https://doi.org/10.3390/chemosensors10030118

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