University of Worcester Worcester Research and Publications

Automatic detection of airborne pollen: an overview

Buters, J., Clot, B., Galán, C., Gehrig, R., Gilge, S., Hentges, F., O’Connor, D., Sikoparija, B., Skjoth, Carsten ORCID:, Tummon, F., Adams-Groom, Beverley ORCID:, Antunes, C. M., Brufaerts, N., Çelenk, S., Crouzy, B., Guillaud, G., Hajkova, L., Seliger, A. K., Oliver, G., Ribeiro, H., Rodinkova, V., Saarto, A., Sauliene, I., Sozinova, O. and Stjepanovic, B. (2022) Automatic detection of airborne pollen: an overview. Aerobiologia. ISSN Electronic: 1573-3025 Print: 0393-5965

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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.

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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit

Uncontrolled Discrete Keywords: Automatic monitor, Pollen, Fungal spores, Methods
Divisions: College of Health, Life and Environmental Sciences > School of Science and the Environment
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Copyright Info: © The Author(s) 2022
Depositing User: Beverley Adams-Groom
Date Deposited: 24 Aug 2022 14:13
Last Modified: 24 Aug 2022 14:18

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