Identification of pollen grains in mixtures using hyperspectral MALDI-TOF MS imaging

  • Anemophilous plants produce pollen grains, which promote allergies. Therefore, pollen are monitored to provide a national information network. Their conventional identification and differentiation is performed by time-consuming microscopic examinations based on the genus-specific pollen morphology. A variety of spectroscopic and spectrometric approaches have been proposed to develop a fast and reliable pollen identification using specific molecular information. Amongst them, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) showed a high potential for the successful investigation of such complex biological samples. Specifically, it was illustrated that MALDI-MS imaging provides a powerful tool to identify pollen grains in pollen mixtures on the basis of ion intensity plots. More recently, the evaluation of the obtained peak patterns from pollen mass spectra with multivariate statistics enables a consistent and rapid identification of theAnemophilous plants produce pollen grains, which promote allergies. Therefore, pollen are monitored to provide a national information network. Their conventional identification and differentiation is performed by time-consuming microscopic examinations based on the genus-specific pollen morphology. A variety of spectroscopic and spectrometric approaches have been proposed to develop a fast and reliable pollen identification using specific molecular information. Amongst them, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) showed a high potential for the successful investigation of such complex biological samples. Specifically, it was illustrated that MALDI-MS imaging provides a powerful tool to identify pollen grains in pollen mixtures on the basis of ion intensity plots. More recently, the evaluation of the obtained peak patterns from pollen mass spectra with multivariate statistics enables a consistent and rapid identification of the taxonomic relationships. A novel application using conductive tape on the MALDI target simplifies sample preparation and enhanced the quality of the mass spectra. This led to a comprehensive analysis of the MS patterns, which is important when identifying pollen grains from different plant species in mixtures. Here, we present further developments in MALDI-MS imaging of mixtures of pollen from different plant species. By combining conductive tape sample preparation with MALDI MSI and chemometric analysis, first promising results were obtained. In addition, we discuss the ability of partial least square regression (PLS-R) to identify pollen species based on independent reference spectra and present first results obtained with artificial pollen mixtures. These methods will be used in future online identification of pollen species in natural pollen mixtures.zeige mehrzeige weniger

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Metadaten
Autor*innen:Franziska Lauer
Koautor*innen:Sabrina Diehn, Steffen Weidner, Janina Kneipp
Dokumenttyp:Posterpräsentation
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:Imaging; MALDI-TOF MS; MVA; Pollen
Veranstaltung:Workshop “FT‐IR Spectroscopy in Microbiological and Medical Diagnostics”
Veranstaltungsort:Robert Koch‐Institute, Berlin, Germany
Beginndatum der Veranstaltung:19.10.2017
Enddatum der Veranstaltung:20.10.2017
Verfügbarkeit des Dokuments:Datei im Netzwerk der BAM verfügbar ("Closed Access")
Datum der Freischaltung:08.11.2017
Referierte Publikation:Nein
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