Multivariate statistics applied to MALDI-TOF MS data of pollen samples
- A variety of new analytical approaches have been proposed in order to develop fast and reliable pollen identification using specific molecular information. The combination of the obtained patterns of pollen mass spectra (MADLI-TOF MS (Autoflex III, Bruker)) and multivariate statistics provide a powerful tool for the investigation of structural correlations within pollen grain mixtures. Both commercially available lyophilized pollen (Sigma, Germany) and fresh pollen acquired from biological samples collected in parks and in the Botanic Garden Berlin-Dahlem, were utilized. The samples were extracted based on a modified biotyper protocol (Bruker) by formic acid extraction in the gas phase and spotted with HCCA matrix. This presentation show results from the newly developed MALDI target setup, with conductive tape. The spectral data were investigated by principal component analysis (PCA).
Autor*innen: | Franziska Lauer |
---|---|
Koautor*innen: | Steffen WeidnerORCiD, Stephan Seifert, Janina KneippORCiD |
Dokumenttyp: | Vortrag |
Veröffentlichungsform: | Präsentation |
Sprache: | Englisch |
Jahr der Erstveröffentlichung: | 2016 |
DDC-Klassifikation: | Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Sanitär- und Kommunaltechnik; Umwelttechnik |
Freie Schlagwörter: | MALDI-TOF Mass Spectrometry; Multivariate statistics; Pollen |
Veranstaltung: | 20. MALDI-Kolloquium |
Veranstaltungsort: | BAM Adlershof, Berlin, Germany |
Beginndatum der Veranstaltung: | 10.05.2016 |
Enddatum der Veranstaltung: | 10.05.2016 |
Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
Datum der Freischaltung: | 13.07.2016 |
Referierte Publikation: | Nein |
Eingeladener Vortrag: | Nein |