Literature DB >> 19557225

Sampling bias and sampling errors in pollen counting in aerobiological monitoring in Italy.

Elena Gottardini1, Fabiana Cristofolini, Antonella Cristofori, Arianna Vannini, Marco Ferretti.   

Abstract

Information about airborne pollen concentration is of concern for health authorities across Europe. The reliability of data estimates depends on the accuracy and precision of pollen counts. In Italy, pollen counts are carried out on slides for microscopic evaluation and are regulated by the national Standard UNI 11108:2004. Our results showed that counts performed according to the Italian standard may result in a significant bias in the number of pollen grains counted and this will have an impact on final estimates of pollen concentration. For the same sample size, confidence intervals vary in relation to pollen abundance, either in terms of number of grains or of number of species. The sample size suggested by the standard (20% of the target surface) may result in errors in pollen counts ranging from 7-55% of the mean value, and in missing 22-54% of the taxa present on the slide.

Mesh:

Substances:

Year:  2009        PMID: 19557225     DOI: 10.1039/b818162b

Source DB:  PubMed          Journal:  J Environ Monit        ISSN: 1464-0325


  5 in total

1.  On the efficiency and correction of vertically oriented blunt bioaerosol samplers in moving air.

Authors:  Dominik Michel; Mathias W Rotach; Regula Gehrig; Roland Vogt
Journal:  Int J Biometeorol       Date:  2012-03-08       Impact factor: 3.787

2.  Spatiotemporal models for predicting high pollen concentration level of Corylus, Alnus, and Betula.

Authors:  Jakub Nowosad
Journal:  Int J Biometeorol       Date:  2015-10-21       Impact factor: 3.787

3.  Detecting Airborne Pollen Using an Automatic, Real-Time Monitoring System: Evidence from Two Sites.

Authors:  Maria Pilar Plaza; Franziska Kolek; Vivien Leier-Wirtz; Jens Otto Brunner; Claudia Traidl-Hoffmann; Athanasios Damialis
Journal:  Int J Environ Res Public Health       Date:  2022-02-21       Impact factor: 3.390

4.  The need for Pan-European automatic pollen and fungal spore monitoring: A stakeholder workshop position paper.

Authors:  Fiona Tummon; Lucas Alados Arboledas; Maira Bonini; Benjamin Guinot; Martin Hicke; Christophe Jacob; Vladimir Kendrovski; William McCairns; Eric Petermann; Vincent-Henri Peuch; Oliver Pfaar; Michaël Sicard; Branko Sikoparija; Bernard Clot
Journal:  Clin Transl Allergy       Date:  2021-05-02       Impact factor: 5.657

5.  Pollen Monitoring by Optical Microscopy and DNA Metabarcoding: Comparative Study and New Insights.

Authors:  Mattia Fragola; Augusto Arsieni; Nicola Carelli; Sabrina Dattoli; Sante Maiellaro; Maria Rita Perrone; Salvatore Romano
Journal:  Int J Environ Res Public Health       Date:  2022-02-24       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.