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Automatic detection of airborne pollen: an overview

  • 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
  • Swiss Fed. Off. Metrology/Accreditat
  • Instituto Interuniversitario de Investigación del Sistema Tierra en Andalucía
  • Deutscher Wetterdienst
  • Centre Hospitalier de Luxembourg
  • Dublin City University
  • University of Novi Sad, BioSense Institute
  • University of Worcester
  • University of Évora
  • Mycology and Aerobiology
  • Uludag University
  • Atmo Auvergne-Rhône-Alpes
  • Czech Hydrometeorological Institute
  • National Laboratory of Health
  • Réseau National de Surveillance Aérobiologique
  • LIACC - Artificial Intelligence and Computer Science Laboratory
  • National Pirogov Memorial Medical University, Vinnytsya
  • University of Turku and Turku University Hospital
  • Vilnius University
  • University of Latvia
  • University of Zagreb Medical School

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

59 Zitate (Scopus)

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.

OriginalspracheEnglisch
Seiten (von - bis)13-37
Seitenumfang25
FachzeitschriftAerobiologia
Jahrgang40
Ausgabenummer1
DOIs
PublikationsstatusVeröffentlicht - März 2024

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