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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/41054
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| Title: | Automatic detection of airborne pollen: an overview |
| Authors: | Buters, Jeroen Clot, Bernard Gálan, Carmen Gehrig, Regula Gilge, Stefan Hentges, François O´Connor, David Sikoparija, Branko Skjoth, Carsten Tummon, Fiona Adams-Groom, Beverley Antunes, Célia Bruffaerts, Nicolas Çelenk, Sevcan Crouzy, Benoit Guillaud, Géraldine Hajkova, Lenka Seliger, Andreja Oliver, Gilles Ribeiro, Helena Rodinkova, Victoria Saarto, Annika Sauliene, Ingrida Sozinova, Olga Stjepanovic, Barbara |
| Issue Date: | 2024 |
| Publisher: | Aerobiologia |
| Citation: | Buters et al., 2024 |
| Abstract: | 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. |
| URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135269016&doi=10.1007%2fs10453-022-09750-x&partnerID=40&md5=081fe0faac3886f98717c53bb8e8a544 http://hdl.handle.net/10174/41054 |
| Type: | article |
| Appears in Collections: | CREATE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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