Automatic detection of airborne pollen: an overview

dc.contributor.authorButers, Jeroen
dc.contributor.authorClot, Bernard
dc.contributor.authorGálan, Carmen
dc.contributor.authorGehrig, Regula
dc.contributor.authorGilge, Stefan
dc.contributor.authorHentges, François
dc.contributor.authorO´Connor, David
dc.contributor.authorSikoparija, Branko
dc.contributor.authorSkjoth, Carsten
dc.contributor.authorTummon, Fiona
dc.contributor.authorAdams-Groom, Beverley
dc.contributor.authorAntunes, Célia
dc.contributor.authorBruffaerts, Nicolas
dc.contributor.authorÇelenk, Sevcan
dc.contributor.authorCrouzy, Benoit
dc.contributor.authorGuillaud, Géraldine
dc.contributor.authorHajkova, Lenka
dc.contributor.authorSeliger, Andreja
dc.contributor.authorOliver, Gilles
dc.contributor.authorRibeiro, Helena
dc.contributor.authorRodinkova, Victoria
dc.contributor.authorSaarto, Annika
dc.contributor.authorSauliene, Ingrida
dc.contributor.authorSozinova, Olga
dc.contributor.authorStjepanovic, Barbara
dc.date.accessioned2026-02-10T15:21:10Z
dc.date.available2026-02-10T15:21:10Z
dc.date.issued2024
dc.description.abstractPollen 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.por
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailcmma@uevora.pt
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.citationButers et al., 2024por
dc.identifier.doi10.1007/s10453-022-09750-xpor
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85135269016&doi=10.1007%2fs10453-022-09750-x&partnerID=40&md5=081fe0faac3886f98717c53bb8e8a544
dc.identifier.urihttp://hdl.handle.net/10174/41054
dc.language.isoporpor
dc.peerreviewednopor
dc.publisherAerobiologiapor
dc.rightsopenAccesspor
dc.titleAutomatic detection of airborne pollen: an overviewpor
dc.typearticlepor

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
s10453-022-09750-x (7).pdf
Size:
643.03 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
3.89 KB
Format:
Item-specific license agreed upon to submission
Description: