Automatic detection of airborne pollen: an overview

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Buters, J (Author) Other; Clot, B (Author) Other; Galán, C (Author) Other; Gehrig, R (Author) Other; Gilge, S (Author) Other; Hentges, F (Author) Other; O'Connor, D (Author) Other; Sikoparija, B (Author) Other; Skjoth, C (Author) Other; Tummon, F (Author) Other; Adams Groom, B (Author) Other; Antunes, CM (Author) Other; Bruffaerts, N (Author) Other; Çelenk, S (Author) Other; Crouzy, B (Author) Other; Guillaud, G (Author) Other; Hajkova, L (Author) Other; Seliger, AK (Author) Other; Oliver, G (Author) Other; Ribeiro, H (Author) FCUP; Rodinkova, V (Author) Other; Saarto, A (Author) Other; Sauliene, I (Author) Other; Sozinova, O (Author) Other; Stjepanovic, B (Author) Other

Journal

Title: Aerobiologia

ISSN: 0393-5965

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 15 Citations

Scopus - 17 Citations

Other information

Authenticus ID: P-00X-0AR

DOI: 10.1007/s10453-022-09750-x

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 25