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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)
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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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Publication type Article: Journal article
Document type Scientific Article
Keywords Automatic Monitor ; Fungal Spores ; Methods ; Pollen
Language english
Publication Year 2022
HGF-reported in Year 2022
ISSN (print) / ISBN 0393-5965
e-ISSN 1573-3025
Journal Aerobiologia
Publisher Pitagora Ed.
Publishing Place Bologna
Reviewing status Peer reviewed
Institute(s) Institute for Allergy Research (IAF)
POF-Topic(s) 30202 - Environmental Health
Research field(s) Allergy
PSP Element(s) G-505400-001
DOI 10.1007/s10453-022-09750-x
WOS ID WOS:000833444200001
Scopus ID 85135269016
Erfassungsdatum 2022-11-07
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