Artificial pollen grain mixtures analyzed with multivariate MALDI-TOF MS imaging
- Anemophilous plants produce pollen grains, which have to be monitored to provide an information network for persons suffering from an allergy. The current conventional characterization and identification of pollen is performed by time-consuming microscopic examinations on the basis of the genus-specific pollen shape and size. These examinations are in need of proficient researchers, are not statistically validated, and additionally rely on relatively inaccurate observations of the pollination process. A variety of new analytical approaches have been proposed in order to develop a fast and reliable pollen identification using specific molecular information. Recently, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was initially applied for the rapid investigation of such complex biological samples. The combination of the obtained patterns of pollen mass spectra and multivariate statistics provide a powerful tool for identifying taxonomicAnemophilous plants produce pollen grains, which have to be monitored to provide an information network for persons suffering from an allergy. The current conventional characterization and identification of pollen is performed by time-consuming microscopic examinations on the basis of the genus-specific pollen shape and size. These examinations are in need of proficient researchers, are not statistically validated, and additionally rely on relatively inaccurate observations of the pollination process. A variety of new analytical approaches have been proposed in order to develop a fast and reliable pollen identification using specific molecular information. Recently, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was initially applied for the rapid investigation of such complex biological samples. The combination of the obtained patterns of pollen mass spectra and multivariate statistics provide a powerful tool for identifying taxonomic relationships. Here promising results obtained by the reduction and optimization of sample preparation prior to MALDI-TOF MS mapping are presented. Based on a novel application of conductive carbon tape as target, the signal information of the species-specific mass peak patterns of pollen was enhanced. This leads to a clear separation in a subsequent pattern analysis, which is important when analyzing pollen grains in natural species mixtures. As a proof-of-concept, artificial pollen mixtures were investigated by MALDI imaging and evaluated by innovative multivariate data analysis strategies, to assign individual pollen species in the mixtures. Our results can be used to improve the taxonomic differentiation and identification of pollen species and might be useful for the development of a routine method to identify pollen based on mass spectrometry.…
Autor*innen: | Franziska Lauer |
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Koautor*innen: | Sabrina Diehn, Stephan Seifert, Steffen WeidnerORCiD, Janina KneippORCiD |
Dokumenttyp: | Vortrag |
Veröffentlichungsform: | Präsentation |
Sprache: | Englisch |
Jahr der Erstveröffentlichung: | 2017 |
DDC-Klassifikation: | Naturwissenschaften und Mathematik / Chemie / Analytische Chemie |
Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Sanitär- und Kommunaltechnik; Umwelttechnik | |
Freie Schlagwörter: | Pollen HCA and PCA imaging; MALDI-TOF MS; Sample pretreatment |
Veranstaltung: | ANAKON 2017 |
Veranstaltungsort: | Tübingen, Germany |
Beginndatum der Veranstaltung: | 03.04.2017 |
Enddatum der Veranstaltung: | 06.04.2017 |
Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
Datum der Freischaltung: | 27.04.2017 |
Referierte Publikation: | Nein |
Eingeladener Vortrag: | Nein |