Automatic detection of airborne pollen: an overview

dc.contributor.authorButers Jeroen
dc.contributor.authorClot Bernard
dc.contributor.authorGalán 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 M.
dc.contributor.authorBruffaerts Nicolas
dc.contributor.authorÇelenk Sevcan
dc.contributor.authorCrouzy Benoit
dc.contributor.authorGuillaud Géraldine
dc.contributor.authorHajkova Lenka
dc.contributor.authorSeliger Andreja Kofol
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.contributor.organizationfi=Turun yliopiston biodiversiteettiyksikkö|en=Biodiversity Unit of the University of Turku|
dc.contributor.organization-code1.2.246.10.2458963.20.85536774202
dc.converis.publication-id175790181
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/175790181
dc.date.accessioned2022-10-28T13:47:22Z
dc.date.available2022-10-28T13:47:22Z
dc.description.abstract<p>Pollen monitoring has traditionally been carried out using manual methods frst developed in the early 1950s. Although this technique has been recently standardised, it sufers 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 feld of bioaerosol monitoring.<br></p>
dc.identifier.eissn1573-3025
dc.identifier.jour-issn0393-5965
dc.identifier.olddbid184332
dc.identifier.oldhandle10024/167426
dc.identifier.urihttps://www.utupub.fi/handle/11111/49288
dc.identifier.urlhttps://link.springer.com/article/10.1007/s10453-022-09750-x
dc.identifier.urnURN:NBN:fi-fe2022091258727
dc.language.isoen
dc.okm.affiliatedauthorSaarto, Annika
dc.okm.discipline1172 Environmental sciencesen_GB
dc.okm.discipline1172 Ympäristötiedefi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA2 Scientific Article
dc.publisherSpringer
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.doi10.1007/s10453-022-09750-x
dc.relation.ispartofjournalAerobiologia
dc.source.identifierhttps://www.utupub.fi/handle/10024/167426
dc.titleAutomatic detection of airborne pollen: an overview
dc.year.issued2022

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