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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Automated compound classification for ambient aerosol sample separations using comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry.
J. Chromatogr. A 1150, 2-12 (2007)
Comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry (GC × GC–TOF-MS) is useful in analyzing complex samples, such as the semi-volatile organic compounds (SVOC) in daily aerosol samples collected in Augsburg, Germany. For efficient routine analysis, a partial classification system based on mass spectra has been proposed to group compounds into substance classes. Classifiers based on fragmentation patterns, retention time, and spectral transformations are incorporated into software scripts for automated classification. Fragmentation pattern rules are also applied to an aerosol sample analyzed using direct thermal desorption (DTD)–GC × GC–TOF-MS and a non-traditional column combination.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
3.554
1.598
43
48
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Gas chromatography; Comprehensive two-dimensional; Compound classification; Chemometric data processing; Aerosols; Environmental particles; Time-of-flight mass spectrometry
Sprache
Veröffentlichungsjahr
2007
HGF-Berichtsjahr
2007
ISSN (print) / ISBN
0021-9673
e-ISSN
1873-3778
Zeitschrift
Journal of Chromatography A
Quellenangaben
Band: 1150,
Heft: 1-2,
Seiten: 2-12
Verlag
Elsevier
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Ecological Chemistry (IOEC)
Cooperation Group Comprehensive Molecular Analytics (CMA)
Cooperation Group Comprehensive Molecular Analytics (CMA)
POF Topic(s)
30202 - Environmental Health
30202 - Environmental Health
Forschungsfeld(er)
Environmental Sciences
Environmental Sciences
PSP-Element(e)
G-505100-002
G-504500-001
G-504500-001
WOS ID
000247049200002
Scopus ID
34247624490
PubMed ID
17418225
Erfassungsdatum
2007-03-12