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

dc.contributor.authorPalacín Roca, Jordi
dc.contributor.authorClotet Bellmunt, Eduard
dc.contributor.authorRubies, Elena
dc.date.accessioned2022-09-01T08:44:44Z
dc.date.available2022-09-01T08:44:44Z
dc.date.issued2022
dc.description.abstractThis 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 monthsca_ES
dc.identifier.doihttps://doi.org/10.3390/chemosensors10030118
dc.identifier.idgrec032179
dc.identifier.issn2227-9040
dc.identifier.urihttp://hdl.handle.net/10459.1/83744
dc.language.isoengca_ES
dc.publisherMDPIca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.3390/chemosensors10030118ca_ES
dc.relation.ispartofChemosensors, 2022, vol. 10, núm. 3, 11ca_ES
dc.rightscc-by (c) Jordi Palacín, Eduard Clotet, Elena Rubies, 2022ca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectElectronic noseca_ES
dc.subjectArray of MOX gas sensorsca_ES
dc.subjectLinear discriminant analysisca_ES
dc.subjectLDAca_ES
dc.titleAssessing over Time Performance of an eNose Composed of 16 Single-Type MOX Gas Sensors Applied to Classify Two Volatilesca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
032179.pdf
Size:
7.01 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: