Development and application of a method to classify airborne pollen taxa concentration using light scattering data

Abstract Although automated pollen monitoring networks using laser optics are well-established in Japan, it is thought that these methods cannot distinguish between pollen counts when evaluating various pollen taxa. However, a method for distinguishing the pollen counts of two pollen taxa was recent...

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Autores principales:	Kenji Miki, Toshio Fujita, Norio Sahashi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f8fbe71f462b4e9c9cb06bf031db0c87
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spelling	oai:doaj.org-article:f8fbe71f462b4e9c9cb06bf031db0c872021-11-21T12:18:04ZDevelopment and application of a method to classify airborne pollen taxa concentration using light scattering data10.1038/s41598-021-01919-72045-2322https://doaj.org/article/f8fbe71f462b4e9c9cb06bf031db0c872021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01919-7https://doaj.org/toc/2045-2322Abstract Although automated pollen monitoring networks using laser optics are well-established in Japan, it is thought that these methods cannot distinguish between pollen counts when evaluating various pollen taxa. However, a method for distinguishing the pollen counts of two pollen taxa was recently developed. In this study, we applied such a method to field evaluate the data of the two main allergens in Japan, Chamaecyparis obtusa and Cryptomeria japonica. We showed that the method can distinguish between the pollen counts of these two species even when they are simultaneously present in the atmosphere. This result indicates that a method for automated and simple two pollen taxa monitoring with high spatial density can be developed using the existing pollen network.Kenji MikiToshio FujitaNorio SahashiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kenji Miki Toshio Fujita Norio Sahashi Development and application of a method to classify airborne pollen taxa concentration using light scattering data
description	Abstract Although automated pollen monitoring networks using laser optics are well-established in Japan, it is thought that these methods cannot distinguish between pollen counts when evaluating various pollen taxa. However, a method for distinguishing the pollen counts of two pollen taxa was recently developed. In this study, we applied such a method to field evaluate the data of the two main allergens in Japan, Chamaecyparis obtusa and Cryptomeria japonica. We showed that the method can distinguish between the pollen counts of these two species even when they are simultaneously present in the atmosphere. This result indicates that a method for automated and simple two pollen taxa monitoring with high spatial density can be developed using the existing pollen network.
format	article
author	Kenji Miki Toshio Fujita Norio Sahashi
author_facet	Kenji Miki Toshio Fujita Norio Sahashi
author_sort	Kenji Miki
title	Development and application of a method to classify airborne pollen taxa concentration using light scattering data
title_short	Development and application of a method to classify airborne pollen taxa concentration using light scattering data
title_full	Development and application of a method to classify airborne pollen taxa concentration using light scattering data
title_fullStr	Development and application of a method to classify airborne pollen taxa concentration using light scattering data
title_full_unstemmed	Development and application of a method to classify airborne pollen taxa concentration using light scattering data
title_sort	development and application of a method to classify airborne pollen taxa concentration using light scattering data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f8fbe71f462b4e9c9cb06bf031db0c87
work_keys_str_mv	AT kenjimiki developmentandapplicationofamethodtoclassifyairbornepollentaxaconcentrationusinglightscatteringdata AT toshiofujita developmentandapplicationofamethodtoclassifyairbornepollentaxaconcentrationusinglightscatteringdata AT noriosahashi developmentandapplicationofamethodtoclassifyairbornepollentaxaconcentrationusinglightscatteringdata
_version_	1718419102256594944

Development and application of a method to classify airborne pollen taxa concentration using light scattering data

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