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RATIONALE
A fast and reliable online identification of pollen is not yet available. The identification of pollen is based mainly on the evaluation of morphological data obtained by microscopic methods.
METHODSMatrix‐assisted laser desorption/ionization mass spectrometry (MALDI‐TOF MS) was applied to the analysis of extracts and milled pollen samples. The obtained MALDI data were explored for characteristic peak patterns which could be subjected to a multivariate statistical analysis.
RESULTSTwo sample preparation methods are presented, which require only minimal or no chemical extraction of the pollen. MALDI pollen spectra could be recorded showing various peak patterns. A multivariate statistics approach allowed the classification of pollen into clusters indicating similarities and differences between various species.
CONCLUSIONSThese results demonstrate the potential and the reliability of MALDI‐TOF MS for the identification and, in combination with multivariate statistics, also for the classification of pollen. Copyright © 2012 John Wiley & Sons, Ltd.
| Authors: | Krause, Benjamin; Seifert, Stephan; Panne, Ulrich; Kneipp, Janina; Weidner, Steffen M. | |
| Journal: | Rapid Communications in Mass Spectrometry | |
| Volume: | 26 | |
| Issue: | 9 | |
| Year: | 2012 | |
| Pages: | 1032 | |
| DOI: | 10.1002/rcm.6202 | |
| Publication date: | 15-05-2012 |
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