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Development of Real-time and Simultaneous Quantification of Volatile Organic Compounds in Ambient with SIFT-MS (Selected Ion Flow Tube-Mass Spectrometry)
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Son, Hyun Dong | - |
| dc.contributor.author | An, Joon Geon | - |
| dc.contributor.author | Ha, Sung Yong | - |
| dc.contributor.author | Kim, Gi Beum | - |
| dc.contributor.author | Yim, Un Hyuk | - |
| dc.date.accessioned | 2022-12-26T17:01:29Z | - |
| dc.date.available | 2022-12-26T17:01:29Z | - |
| dc.date.issued | 2018-06 | - |
| dc.identifier.issn | 1598-7132 | - |
| dc.identifier.issn | 2383-5346 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/11595 | - |
| dc.description.abstract | Volatile organic compounds (VOCs) are representative air pollutants due to their detrimental effects on human health and their role in formation of secondary organic aerosols. Assessments and monitoring programs of VOCs using periodic grab sampling like Tedlar bags, canisters, and sorbent traps provide limited information, often with delay times of days or weeks. Selected ion flow tube mass spectrometry (SIFT-MS) is an emerging analytical technique for the real-time quantification of VOCs in air. It relies on chemical ionization of the VOCs molecules in air introduced into helium carrier gas using H3O+, NO+, and O-2(+) precursor ions. Real-time monitoring method of 60 VOCs in the ambient air was developed using TO-15 standard gas mixture. Calibration curves, method detection limit, and quantitation reproducibility of the target compounds were tested. Dynamic dilution system was used to dilute standard gas from 0.174 ppbv to 100 ppbv, where calibration curves showed good linearity with r(2 )> 0.95 in all target analytes. Limit of detection (LOD) all compounds were sub ppbv, and some halogenated compounds showed pptv levels. Seven consecutive analyses of target compounds showed good repeatability with relative standard deviation of less than 10%. One day monitoring of VOCs in ambient air was conducted in Geoje. Average concentration of target VOCs in Geoje were relatively lower than other regions, among which formaldehyde showed the highest concentration (15.4 +/- 5.78 ppbv). SIFT-MS provided good temporal resolution data (1 data per 3.2 minute), which can be used for identifying ephemeral short-term event. It is expected that SIFT-MS will be a versatile monitoring platform for VOCs in ambient air. | - |
| dc.format.extent | 13 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | KOREAN SOC ATMOSPHERIC ENVIRONMENT | - |
| dc.title | Development of Real-time and Simultaneous Quantification of Volatile Organic Compounds in Ambient with SIFT-MS (Selected Ion Flow Tube-Mass Spectrometry) | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.5572/KOSAE.2018.34.3.393 | - |
| dc.identifier.wosid | 000455193300002 | - |
| dc.identifier.bibliographicCitation | JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, v.34, no.3, pp 393 - 405 | - |
| dc.citation.title | JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT | - |
| dc.citation.volume | 34 | - |
| dc.citation.number | 3 | - |
| dc.citation.startPage | 393 | - |
| dc.citation.endPage | 405 | - |
| dc.type.docType | Article | - |
| dc.identifier.kciid | ART002361575 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | esci | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.relation.journalResearchArea | Meteorology & Atmospheric Sciences | - |
| dc.relation.journalWebOfScienceCategory | Meteorology & Atmospheric Sciences | - |
| dc.subject.keywordPlus | ATMOSPHERIC CARBONYLS | - |
| dc.subject.keywordPlus | VOCS | - |
| dc.subject.keywordPlus | AIR | - |
| dc.subject.keywordPlus | PROFILE | - |
| dc.subject.keywordPlus | BREATH | - |
| dc.subject.keywordPlus | CITY | - |
| dc.subject.keywordAuthor | Selected ion flow tube mass spectrometry | - |
| dc.subject.keywordAuthor | VOCs | - |
| dc.subject.keywordAuthor | Real-time | - |
| dc.subject.keywordAuthor | Environmental monitoring | - |
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