@article{b0a99942c6414e7fa1114a2d69ef318c,
title = "Automatic detection of airborne pollen: an overview",
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.",
keywords = "Automatic monitor, Fungal spores, Methods, Pollen",
author = "Jeroen Buters and Bernard Clot and Carmen Gal{\'a}n and Regula Gehrig and Stefan Gilge and Fran{\c c}ois Hentges and David O{\textquoteright}Connor and Branko Sikoparija and Carsten Skjoth and Fiona Tummon and Beverley Adams-Groom and Antunes, {C{\'e}lia M.} and Nicolas Bruffaerts and Sevcan {\c C}elenk and Benoit Crouzy and G{\'e}raldine Guillaud and Lenka Hajkova and Seliger, {Andreja Kofol} and Gilles Oliver and Helena Ribeiro and Victoria Rodinkova and Annika Saarto and Ingrida Sauliene and Olga Sozinova and Barbara Stjepanovic",
note = "Funding Information: The authors would like to thank all EUMETNET AutoPollen members for their participation and engagement, without which this paper would not have been possible. The authors would warmly like to acknowledge the input from the following instrument manufacturers: Droplet Measurement Technologies, Helmut Hund GmbH, Plair SA, PollenSense, Swisens AG, Nam Cao at the University of Graz, and Yamatronics Co. Ltd. Branko Sikoparija acknowledges financial support from the Ministry of Education, Science and Technological Development of the Republic of Serbia (Grant No. 451-03-9/2021-14/200358) and the BREATHE project funded by the Science Fund of the Republic of Serbia (Grant No. 6039613). Lenka H{\'a}jkov{\'a} was supported by the Technology Agency of the Czech Republic Project No. SS02030040 (PERUN) and by the project SustES—Adaptation Strategies for the Sustainability of Ecosystem Services and Food Security in Adverse Natural Conditions (CZ.02.1.01 / 0.0 / 0.0 / 16 019 / 0000797). C{\'e}lia M. Antunes and Helena Ribeiro thank the Earth Sciences Institute, which is funded by the Portuguese National Funds awarded by FCT—Foundation for Science and Technology, I.P., projects UIDB/04683/2020 and UIDP/04683/2020. Jeroen Buters acknowledges the ePIN-Valid No AP-2460-ePIN-V11-U1-D44520/2018 grant for support. Ingrida Sauliene thanks the European Social Fund (project no. 09.3.3-LMT-K-712-01-0066) under grant agreement with the Research Council of Lithuania (LMTLT). Olga Sozinova acknowledges EC ERDF PostDoc Latvia project No 1.1.1.2/VIAA/2/18/283 for financial support. Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2024",
month = mar,
doi = "10.1007/s10453-022-09750-x",
language = "English",
volume = "40",
pages = "13--37",
journal = "Aerobiologia",
issn = "0393-5965",
publisher = "Springer Netherlands",
}