Real-time automatic detection of starch particles in ambient air.

Aerobiology Airborne starch Automatic monitoring Dispersion modelling Emission sources

Journal

Agricultural and forest meteorology
ISSN: 0168-1923
Titre abrégé: Agric For Meteorol
Pays: Netherlands
ID NLM: 101622394

Informations de publication

Date de publication:
15 Aug 2022
Historique:
received: 20 09 2021
revised: 07 03 2022
accepted: 30 05 2022
entrez: 25 8 2022
pubmed: 26 8 2022
medline: 26 8 2022
Statut: ppublish

Résumé

Considerable amounts of starch granules can be present in the atmosphere from both natural and anthropogenic sources. The aim of this study is to investigate the variability and potential origin of starch granules in ambient air recorded at six cities situated in a region with dominantly agricultural land use. This is achieved by using a combination of laser spectroscopy bioaerosol measurements with 1 min temporal resolution, traditional volumetric Hirst type bioaerosol sampling and atmospheric modelling. The analysis of wind roses identified potential sources of airborne starch (i.e., cereal grain storage facilities) in the vicinity of all aerobiological stations analysed in this study. The analysis of the CALPUFF dispersion model confirmed that emission of dust from the location of storage towers situated about 2.5 km north of the aerobiological station in Novi Sad is a plausible source of high airborne concentrations of starch granules. This study is important for environmental health since it contributes body of knowledge about sources, emission, and dispersion of airborne starch, known to be involved in phenomena such as thunderstorm-triggered asthma. The presented approach integrates monitoring and modelling, and provides a roadmap for examining a variety of bioaerosols previously considered to be outside the scope of traditional aerobiological measurements.

Identifiants

pubmed: 36003366
doi: 10.1016/j.agrformet.2022.109034
pii: S0168-1923(22)00223-4
pmc: PMC9391928
doi:

Types de publication

Journal Article

Langues

eng

Pagination

109034

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Branko Šikoparija (B)

BioSensе Institute-Research Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Djindjica 1, Novi Sad 21000, Serbia.

Predrag Matavulj (P)

BioSensе Institute-Research Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Djindjica 1, Novi Sad 21000, Serbia.

Gordan Mimić (G)

BioSensе Institute-Research Institute for Information Technologies in Biosystems, University of Novi Sad, Dr Zorana Djindjica 1, Novi Sad 21000, Serbia.

Matt Smith (M)

School of Science and the Environment, University of Worcester, UK.

Łukasz Grewling (Ł)

Laboratory of Aerobiology, Department of Systematic and Environmental Botany, Adam Mickiewicz University, Poznań, Poland.

Zorica Podraščanin (Z)

Department of Physics, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia.

Classifications MeSH