Automatic detection of airborne pollen: an overview

Autor: Jeroen Buters, Bernard Clot, Carmen Galán, Regula Gehrig, Stefan Gilge, François Hentges, David O’Connor, Branko Sikoparija, Carsten Skjoth, Fiona Tummon, Beverley Adams-Groom, Célia M. Antunes, Nicolas Bruffaerts, Sevcan Çelenk, Benoit Crouzy, Géraldine Guillaud, Lenka Hajkova, Andreja Kofol Seliger, Gilles Oliver, Helena Ribeiro, Victoria Rodinkova, Annika Saarto, Ingrida Sauliene, Olga Sozinova, Barbara Stjepanovic
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Electronic: 1573-3025 Print: 0393-5965
Aerobiologia, Dordrecht : Springer, 2022, first on line, p. [1-25]
Aerobiologia, DOI: 10.1007/s10453-022-09750-x (2022)
ISSN: 0393-5965
1573-3025
DOI: 10.1007/s10453-022-09750-x
Popis: 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.
Databáze: OpenAIRE
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