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| Titel |
Autofluorescence of atmospheric bioaerosols: spectral fingerprints and taxonomic trends of pollen |
| VerfasserIn |
C. Pöhlker, J. A. Huffman, J.-D. Förster, U. Pöschl |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 6, no. 12 ; Nr. 6, no. 12 (2013-12-09), S.3369-3392 |
| Datensatznummer |
250085126
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| Publikation (Nr.) |
 copernicus.org/amt-6-3369-2013.pdf |
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| Zusammenfassung |
Primary biological aerosol particles (PBAP) are important factors in
atmospheric cycling, climate, and public health. Pollen is a major fraction
of PBAP and is receiving increasing attention due to its high allergenic
potential and the associated impacts on personal life quality and economy.
Recently, autofluorescence-based techniques have proven to be valuable tools
for real time, in situ quantification and classification of PBAP. First studies
suggest that the autofluorescence of pollen may be sufficiently selective to
be utilized for an automated and real-time monitoring of pollen in ambient
air. However, the degree of selectivity autofluorescence can provide is
still in question and actively debated.
This study addresses the origin, properties, and selectivity of
autofluorescence from natural pollen by fluorescence microscopy and
spectroscopy measurements along with a systematic synthesis of related
literature. We show that dry pollen reveals characteristic and reproducible
autofluorescence signatures which are shaped by cell wall associated
fluorophores, such as phenolic compounds and carotenoid pigments. In
addition, fluorescence signals from proteins and chlorophyll a were observed
in some species. The abundance and intensity of the individual fluorescence
signals show certain taxonomic trends and allow systematic differentiation
from bacteria and fungal spores due to the lack of proteins on the grain surface. Principal component analysis was used to explore the
discrimination potential of pollen autofluorescence, in combination with
size and shape, revealing a differentiation of pollen on family level. Our
results help explore the levels of selectivity that autofluorescence-based
techniques can provide to PBAP analysis and will support the development and
application of autofluorescence-based detectors for monitoring of allergenic
pollen in the atmosphere. |
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