Optimizing Low-Cost Gas Analysis with a 3D Printed Column and MiCS-6814 Sensor for Volatile Compound Detection

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dc.contributor.authorSkowronková, Nelacs
dc.contributor.authorAdámek, Martincs
dc.contributor.authorZvonková, Magdalénacs
dc.contributor.authorMatyáš, Jiřícs
dc.contributor.authorAdámková, Annacs
dc.contributor.authorDlabaja, Stepancs
dc.contributor.authorBúran, Martincs
dc.contributor.authorŠevčíková, Veronikacs
dc.contributor.authorMlček, Jiřícs
dc.contributor.authorVolek, Zdeněkcs
dc.contributor.authorCernekova, Martinacs
dc.coverage.issue20cs
dc.coverage.volume24cs
dc.date.accessioned2025-04-04T11:56:25Z
dc.date.available2025-04-04T11:56:25Z
dc.date.issued2024-10-13cs
dc.description.abstractThis paper explores an application of 3D printing technology on the food industry. Since its inception in the 1980s, 3D printing has experienced a huge rise in popularity. This study uses cost-effective, flexible, and sustainable components that enable specific features of certain gas chromatography. This study aims to optimize the process of gas detection using a 3D printed separation column and the MiCS-6814 sensor. The principle of the entire device is based on the idea of utilizing a simple capillary chromatographic column manufactured by 3D printing for the separation of samples into components prior to their measurement using inexpensive chemiresistive sensors. An optimization of a system with a 3D printed PLA block containing a capillary, a mixing chamber, and a measuring chamber with a MiCS-6814 sensor was performed. The optimization distributed the sensor output signal in the time domain so that it was possible to distinguish the peak for the two most common alcohols, ethanol and methanol. The paper further describes some optimization types and their possibilities.en
dc.formattextcs
dc.format.extent1-21cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationSENSORS. 2024, vol. 24, issue 20, p. 1-21.en
dc.identifier.doi10.3390/s24206594cs
dc.identifier.issn1424-8220cs
dc.identifier.orcid0000-0002-8668-863Xcs
dc.identifier.orcid0000-0003-2644-7698cs
dc.identifier.other189871cs
dc.identifier.researcheridL-9744-2018cs
dc.identifier.scopus9335592000cs
dc.identifier.urihttps://hdl.handle.net/11012/250735
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofSENSORScs
dc.relation.urihttps://www.mdpi.com/1424-8220/24/20/6594cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1424-8220/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectchemiresistive gas sensorsen
dc.subject3D printingen
dc.subjectsustainabilityen
dc.subjectcapillaryen
dc.subjectmethanol detectionen
dc.subjectethanol detectionen
dc.titleOptimizing Low-Cost Gas Analysis with a 3D Printed Column and MiCS-6814 Sensor for Volatile Compound Detectionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-189871en
sync.item.dbtypeVAVen
sync.item.insts2025.04.04 13:56:25en
sync.item.modts2025.04.03 15:32:08en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav mikroelektronikycs
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