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Automatic detection of airborne pollen: an overview

Aerobiologia 2022 67 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.

Jeroen Buters, Bernard Clot, Olga Sozinova, Helena Ribeiro, Carmen Galán, Regula Gehrig, Stefan Gilge, Helena Ribeiro, Helena Ribeiro, David J. O’Connor, Stefan Gilge, Stefan Gilge, Stefan Gilge, Stefan Gilge, Stefan Gilge, François Hentges, François Hentges, David J. O’Connor, Branko Šikoparija, Carsten Ambelas Skjøth, Fiona Tummon, Beverley Adams‐Groom, Célia M. Antunes, Nicolas Bruffaerts, Sevcan Çelenk, Benoît Crouzy, Géraldine Guillaud, Géraldine Guillaud, Lenka Hájková, Andreja Kofol Seliger, G. Oliver, G. Oliver, Helena Ribeiro, Victoria Rodinkova, Annika Saarto, Ingrida Šaulienė, Olga Sozinova, Barbara Stjepanović, Barbara Stjepanović

Summary

Researchers reviewed the state of automated pollen monitoring technology, contrasting new real-time instruments with traditional manual counting methods that deliver results days after collection. Several commercial automatic devices now exist that can identify airborne pollen much faster, which is critical for allergy forecasting and public health response.

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.

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