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Enose lab made with vacuum sampling: quantitative applications

2022Journal article Open access
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dc.contributor.authorTeixeira, Guilherme Gobbi
dc.contributor.authorPeres, António M.
dc.contributor.authorEstevinho, Leticia M.
dc.contributor.authorGeraldes, Pedro
dc.contributor.authorGarcia-Cabezon, Cristina
dc.contributor.authorMartin-Pedrosa, Fernando
dc.contributor.authorRodriguez-Mendez, Maria Luz
dc.contributor.authorDias, L. G.
dc.date.accessioned2023-01-17T10:50:34Z
dc.date.available2023-01-17T10:50:34Z
dc.date.issued2022
dc.description.abstractA lab-made electronic nose (Enose) with vacuum sampling and a sensor array, comprising nine metal oxide semiconductor Figaro gas sensors, was tested for the quantitative analysis of vapor–liquid equilibrium, described by Henry’s law, of aqueous solutions of organic compounds: three alcohols (i.e., methanol, ethanol, and propanol) or three chemical compounds with different functional groups (i.e., acetaldehyde, ethanol, and ethyl acetate). These solutions followed a fractional factorial design to guarantee orthogonal concentrations. Acceptable predictive ridge regression models were obtained for training, with RSEs lower than 7.9, R2 values greater than 0.95, slopes varying between 0.84 and 1.00, and intercept values close to the theoretical value of zero. Similar results were obtained for the test data set: RSEs lower than 8.0, R2 values greater than 0.96, slopes varying between 0.72 and 1.10, and some intercepts equal to the theoretical value of zero. In addition, the total mass of the organic compounds of each aqueous solution could be predicted, pointing out that the sensors measured mainly the global contents of the vapor phases. The satisfactory quantitative results allowed to conclude that the Enose could be a useful tool for the analysis of volatiles from aqueous solutions containing organic compounds for which Henry’s law is applicable.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) and FED-ER under Programme PT2020 for financial support by national funds FCT/MCTES to CIMO (UID/AGR/00690/2019) and SusTEC (LA/P/0007/2020)pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTeixeira, Guilherme G.; Peres, António M.; Estevinho, Letícia; Geraldes, Pedro; Garcia-Cabezon, Cristina; Martin-Pedrosa, Fernando; Rodriguez-Mendez, Maria Luz; Dias, Luís G. (2022). Enose lab made with vacuum sampling: quantitative applications. Chemosensors. ISSN 2227-9040. 10:7, p. 1-15pt_PT
dc.identifier.doi10.3390/chemosensors10070261pt_PT
dc.identifier.eissn2227-9040
dc.identifier.urihttp://hdl.handle.net/10198/26545
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationLA/P/0007/2020pt_PT
dc.relationMountain Research Centre
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectElectronic nosept_PT
dc.subjectMOS sensor arraypt_PT
dc.subjectQuantitative analysispt_PT
dc.subjectRidge regressionpt_PT
dc.titleEnose lab made with vacuum sampling: quantitative applicationspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMountain Research Centre
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FAGR%2F00690%2F2019/PT
oaire.citation.issue7pt_PT
oaire.citation.startPage261pt_PT
oaire.citation.titleChemosensorspt_PT
oaire.citation.volume10pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameTeixeira
person.familyNamePeres
person.familyNameEstevinho
person.familyNameDias
person.givenNameGuilherme Gobbi
person.givenNameAntónio M.
person.givenNameLetícia M.
person.givenNameLuís G.
person.identifier107333
person.identifier.ciencia-id7416-7DC0-4FD6
person.identifier.ciencia-idCF16-5443-F420
person.identifier.ciencia-idBA14-09D6-A406
person.identifier.ciencia-id2F11-9092-FAAF
person.identifier.orcid0000-0002-3734-1592
person.identifier.orcid0000-0001-6595-9165
person.identifier.orcid0000-0002-9249-1948
person.identifier.orcid0000-0002-1210-4259
person.identifier.ridI-8470-2012
person.identifier.scopus-author-id7102331969
person.identifier.scopus-author-id6506577664
person.identifier.scopus-author-id23569169900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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