Literature DB >> 33848553

Monitoring techniques for pollen allergy risk assessment.

Chiara Suanno1, Iris Aloisi2, Delia Fernández-González3, Stefano Del Duca4.   

Abstract

Understanding airborne pollen allergens trends is of great importance for the high prevalence and the socio-economic impact that pollen-related respiratory diseases have on a global scale. Pursuing this aim, aeropalynology evolved as a broad and complex field, that requires multidisciplinary knowledge covering the molecular identity of pollen allergens, the nature of allergen-bearing particles (pollen grains, pollen sub-particles, and small airborne particles), and the distribution of their sources. To estimate the health hazard that urban vegetation and atmospheric pollen concentrations pose to allergic subjects, it is pivotal to develop efficient and rapid monitoring systems and reliable allergic risk indices. Here, we review different pollen allergens monitoring approaches, classifying them into I) vegetation-based, II) pollen-based, and III) allergen-based, and underlining their advantages and limits. Finally, we discuss the outstanding issues and directions for future research that will further clarify our understanding of pollen aeroallergens dynamics and allergen avoidance strategies.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aeroallergens; Air samplers; Allergenicity index; Monitoring; Pollen; Pollinosis

Year:  2021        PMID: 33848553     DOI: 10.1016/j.envres.2021.111109

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  3 in total

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

Authors:  Kenji Miki; Toshio Fujita; Norio Sahashi
Journal:  Sci Rep       Date:  2021-11-16       Impact factor: 4.379

2.  Grassland allergenicity increases with urbanisation and plant invasions.

Authors:  Maud Bernard-Verdier; Birgit Seitz; Sascha Buchholz; Ingo Kowarik; Sara Lasunción Mejía; Jonathan M Jeschke
Journal:  Ambio       Date:  2022-05-20       Impact factor: 6.943

3.  DNA metabarcoding using nrITS2 provides highly qualitative and quantitative results for airborne pollen monitoring.

Authors:  Marcel Polling; Melati Sin; Letty A de Weger; Arjen G C L Speksnijder; Mieke J F Koenders; Hugo de Boer; Barbara Gravendeel
Journal:  Sci Total Environ       Date:  2021-09-21       Impact factor: 7.963

  3 in total

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