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Buters, J.T.M. ; Clot, B.* ; Galán, C.* ; Gehrig, R.* ; Gilge, S.* ; Hentges, F.* ; O’Connor, D.* ; Sikoparija, B.* ; Skjoth, C.* ; Tummon, F.* ; Adams-Groom, B.* ; Antunes, C.M.* ; Bruffaerts, N.* ; Celenk, S.* ; Crouzy, B.* ; Guillaud, G.* ; Hajkova, L.* ; Seliger, A.K.* ; Oliver, G.* ; Ribeiro, H.* ; Rodinkova, V.* ; Saarto, A.* ; Sauliene, I.* ; Sozinova, O.* ; Stjepanovic, B.*

Automatic detection of airborne pollen: an overview.

Aerobiologia, DOI: 10.1007/s10453-022-09750-x (2022)
Verlagsversion DOI
Open Access Hybrid
Creative Commons Lizenzvertrag
Pollen monitoring has traditionally been carried out using manual methods first developed in the early 1950s. Although this technique has been recently standardised, it suffers from several drawbacks, notably data usually only being available with a delay of 3–9 days and usually delivered at a daily resolution. Several automatic instruments have come on to the market over the past few years, with more new devices also under development. This paper provides a comprehensive overview of all available and developing automatic instruments, how they measure, how they identify airborne pollen, what impacts measurement quality, as well as what potential there is for further advancement in the field of bioaerosol monitoring.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Automatic Monitor ; Fungal Spores ; Methods ; Pollen
Sprache englisch
Veröffentlichungsjahr 2022
HGF-Berichtsjahr 2022
ISSN (print) / ISBN 0393-5965
e-ISSN 1573-3025
Zeitschrift Aerobiologia
Verlag Pitagora Ed.
Verlagsort Bologna
Begutachtungsstatus Peer reviewed
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Allergy
PSP-Element(e) G-505400-001
Scopus ID 85135269016
Erfassungsdatum 2022-11-07