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Matrix‐assisted laser desorption/ionization mass spectrometric investigation of pollen and their classification by multivariate statistics
Author(s) -
Krause Benjamin,
Seifert Stephan,
Panne Ulrich,
Kneipp Janina,
Weidner Steffen M.
Publication year - 2012
Publication title -
rapid communications in mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 136
eISSN - 1097-0231
pISSN - 0951-4198
DOI - 10.1002/rcm.6202
Subject(s) - pollen , chemistry , multivariate statistics , identification (biology) , multivariate analysis , mass spectrometry , chromatography , matrix assisted laser desorption/ionization , analytical chemistry (journal) , matrix (chemical analysis) , sample (material) , statistics , desorption , botany , mathematics , organic chemistry , adsorption , biology
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. METHODS Matrix‐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. RESULTS Two 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. CONCLUSIONS These 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.