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Matrix-assisted laser desorption/ionization mass spectrometric investigation of pollen and their classification by multivariate statistics.
MedLine Citation:
PMID:  22467452     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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.
Authors:
Benjamin Krause; Stephan Seifert; Ulrich Panne; Janina Kneipp; Steffen M Weidner
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Rapid communications in mass spectrometry : RCM     Volume:  26     ISSN:  1097-0231     ISO Abbreviation:  Rapid Commun. Mass Spectrom.     Publication Date:  2012 May 
Date Detail:
Created Date:  2012-04-02     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8802365     Medline TA:  Rapid Commun Mass Spectrom     Country:  England    
Other Details:
Languages:  eng     Pagination:  1032-8     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 John Wiley & Sons, Ltd.
Affiliation:
BAM Federal Institute for Materials Research and Testing, Analytical Chemistry, Richard-Willstätter-Str. 11, D-12489, Berlin, Germany; Humboldt-University, Department of Chemistry, Brook-Taylor-Str. 2, D-12489, Berlin, Germany.
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