Assessing over Time Performance of an eNose Composed of 16 Single-Type MOX Gas Sensors Applied to Classify Two Volatiles
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Date
2022
Authors
Palacín Roca, Jordi
Clotet Bellmunt, Eduard
Rubies, Elena
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Abstract
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
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Chemosensors, 2022, vol. 10, núm. 3, 11