Please use this identifier to cite or link to this item: https://doi.org/10.48441/4427.1341
DC FieldValueLanguage
dc.contributor.authorBahr, Marc-Simon-
dc.contributor.authorWolff, Marcus-
dc.date.accessioned2024-02-16T16:04:01Z-
dc.date.available2024-02-16T16:04:01Z-
dc.date.issued2023-12-21-
dc.identifier.issn2296-2646en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12738/14846-
dc.description.abstractPhotoacoustic spectroscopy (PAS) is well known for the detection of short-chain hydrocarbons, such as methane, ethane and propane, in the ppm (parts per million) or ppb (parts per billion) range. However, in the production process of natural gas and its combustion in gas-fired devices the composition, especially the concentrations of the main alkanes, plays a decisive role. Gas chromatography (GC) is considered the gold standard for natural gas analysis. We present a method to analyze natural gas samples by PAS. Furthermore, we describe a method to prepare storage gas samples, which are usually under atmospheric pressure, for PAS analysis. All measurements are validated by means of GC. The investigation allows conclusions to be drawn to what extent PAS is suitable for the investigation of natural gas samples.en
dc.description.sponsorshipBundesministerium für Umwelt, Naturschutz, Nukleare Sicherheit und Verbraucherschutzen_US
dc.description.sponsorshipHochschule für Angewandte Wissenschaften Hamburgen_US
dc.language.isoenen_US
dc.publisherFrontiers Mediaen_US
dc.relation.ispartofFrontiers in Chemistryen_US
dc.subjecthydrocarbonsen_US
dc.subjectinterband cascade laseren_US
dc.subjectmain alkanesen_US
dc.subjectnatural gasen_US
dc.subjectphotoacoustic spectroscopyen_US
dc.subject.ddc620: Ingenieurwissenschaftenen_US
dc.titlePAS-based analysis of natural gas samplesen
dc.typeArticleen_US
dc.identifier.doi10.48441/4427.1341-
dc.description.versionPeerRevieweden_US
local.contributorPerson.editorMenduni, Giansergio-
openaire.rightsinfo:eu-repo/semantics/openAccessen_US
tuhh.container.volume11en_US
tuhh.identifier.urnurn:nbn:de:gbv:18302-reposit-168545-
tuhh.oai.showtrueen_US
tuhh.publication.instituteHeinrich-Blasius-Institut für Physikalische Technologienen_US
tuhh.publication.instituteDepartment Maschinenbau und Produktionen_US
tuhh.publication.instituteFakultät Technik und Informatiken_US
tuhh.publisher.doi10.3389/fchem.2023.1328882-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.relation.projectEntwicklung eines KI-basierten Sensors zur Bestimmung der isotopologischen Zusammensetzung von Treibhausgasen für die Erforschung klimatischer Prozesseen_US
dc.rights.cchttps://creativecommons.org/licenses/by/4.0/en_US
dc.type.casraiJournal Article-
dc.type.diniarticle-
dc.type.driverarticle-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
tuhh.container.articlenumber1328882en_US
local.comment.externalBahr M-S and Wolff M (2023), PAS-based analysis of natural gas samples. Front. Chem. 11:1328882. doi: 10.3389/fchem.2023.1328882. The APC was funded by Hamburg University of Applied Sciences.en_US
tuhh.apc.statustrueen_US
item.creatorOrcidBahr, Marc-Simon-
item.creatorOrcidWolff, Marcus-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypeArticle-
item.creatorGNDBahr, Marc-Simon-
item.creatorGNDWolff, Marcus-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.project.funderBundesministerium für Umwelt, Naturschutz, Nukleare Sicherheit und Verbraucherschutz-
crisitem.author.deptDepartment Maschinenbau und Produktion-
crisitem.author.deptDepartment Maschinenbau und Produktion-
crisitem.author.orcid0000-0003-0484-4967-
crisitem.author.orcid0000-0003-0781-5248-
crisitem.author.parentorgFakultät Technik und Informatik-
crisitem.author.parentorgFakultät Technik und Informatik-
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