Articles | Volume 19, issue 3
https://doi.org/10.5194/acp-19-1665-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-1665-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Feb 2019
Research article |
| 08 Feb 2019
| 08 Feb 2019
Characterisation and source identification of biofluorescent aerosol emissions over winter and summer periods in the United Kingdom
Elizabeth Forde
CORRESPONDING AUTHOR
Centre for Atmospheric Science, School of Earth and Environmental Science, University of Manchester, Manchester, UK
Martin Gallagher
Centre for Atmospheric Science, School of Earth and Environmental Science, University of Manchester, Manchester, UK
Virginia Foot
Defence Science and Technology Laboratory, Porton Down, Salisbury, UK
Roland Sarda-Esteve
Laboratoire des Sciences du Climat et de l'Environnement, Gif-sur-Yvette, France
Ian Crawford
Centre for Atmospheric Science, School of Earth and Environmental Science, University of Manchester, Manchester, UK
Paul Kaye
Particle Instruments Research Group, University of Hertfordshire, Hatfield, Hertfordshire, UK
Warren Stanley
Particle Instruments Research Group, University of Hertfordshire, Hatfield, Hertfordshire, UK
David Topping
Centre for Atmospheric Science, School of Earth and Environmental Science, University of Manchester, Manchester, UK
Viewed
Total article views: 2,902 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Jul 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,993 | 855 | 54 | 2,902 | 168 | 49 | 54 |
- HTML: 1,993
- PDF: 855
- XML: 54
- Total: 2,902
- Supplement: 168
- BibTeX: 49
- EndNote: 54
Total article views: 2,039 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Feb 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,421 | 581 | 37 | 2,039 | 168 | 37 | 41 |
- HTML: 1,421
- PDF: 581
- XML: 37
- Total: 2,039
- Supplement: 168
- BibTeX: 37
- EndNote: 41
Total article views: 863 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Jul 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 572 | 274 | 17 | 863 | 12 | 13 |
- HTML: 572
- PDF: 274
- XML: 17
- Total: 863
- BibTeX: 12
- EndNote: 13
Viewed (geographical distribution)
Total article views: 2,902 (including HTML, PDF, and XML)
Thereof 2,729 with geography defined
and 173 with unknown origin.
Total article views: 2,039 (including HTML, PDF, and XML)
Thereof 1,901 with geography defined
and 138 with unknown origin.
Total article views: 863 (including HTML, PDF, and XML)
Thereof 828 with geography defined
and 35 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
18 citations as recorded by crossref.
- A first evaluation of multiple automatic pollen monitors run in parallel F. Tummon et al. 10.1007/s10453-021-09729-0
- Distribution Characteristics and Factors Influencing Culturable Bacterial Bioaerosols on a Dairy Farm in Northern China L. Ru et al. 10.3390/agriculture13091752
- Bioaerosol detection over Athens, Greece using the laser induced fluorescence technique S. Richardson et al. 10.1016/j.scitotenv.2019.133906
- Real-time sensing of bioaerosols: Review and current perspectives J. Huffman et al. 10.1080/02786826.2019.1664724
- Summertime fluorescent bioaerosol particles in the coastal megacity Tianjin, North China B. Cheng et al. 10.1016/j.scitotenv.2020.137966
- 基于归一化本征荧光信号的气溶胶分类技术研究 朱. Zhu Xinqi et al. 10.3788/CJL221427
- Intercomparison of Multiple UV-LIF Spectrometers Using the Aerosol Challenge Simulator E. Forde et al. 10.3390/atmos10120797
- An opinion review on sampling strategies, enumeration techniques, and critical environmental factors for bioaerosols: An emerging sustainability indicator for society and cities T. Kathiriya et al. 10.1016/j.eti.2020.101287
- Source identification of airborne bacteria in the mountainous area and the urban areas F. Mu et al. 10.1016/j.atmosres.2019.104676
- Variability of the Atmospheric PM10 Microbiome in Three Climatic Regions of France A. Samaké et al. 10.3389/fmicb.2020.576750
- Biological and Nonbiological Sources of Fluorescent Aerosol Particles in the Urban Atmosphere S. Yue et al. 10.1021/acs.est.1c07966
- Forecasting of bioaerosol concentration by a Back Propagation neural network model X. Li et al. 10.1016/j.scitotenv.2019.134315
- Airborne Bacterial and Eukaryotic Community Structure across the United Kingdom Revealed by High-Throughput Sequencing H. Song et al. 10.3390/atmos11080802
- Pollen clustering strategies using a newly developed single-particle fluorescence spectrometer B. Swanson & J. Huffman 10.1080/02786826.2019.1711357
- Sensitivities to biological aerosol particle properties and ageing processes: potential implications for aerosol–cloud interactions and optical properties M. Zhang et al. 10.5194/acp-21-3699-2021
- Detection of Airborne Biological Particles in Indoor Air Using a Real-Time Advanced Morphological Parameter UV-LIF Spectrometer and Gradient Boosting Ensemble Decision Tree Classifiers I. Crawford et al. 10.3390/atmos11101039
- Seasonal variation of quantitative microbial risk assessment for three airborne enteric bacteria from wastewater treatment plant emissions Z. Gui et al. 10.1016/j.ecoenv.2022.113689
- Comparative Analysis of Traditional and Advanced Clustering Techniques in Bioaerosol Data: Evaluating the Efficacy of K-Means, HCA, and GenieClust with and without Autoencoder Integration M. Moss et al. 10.3390/atmos14091416
18 citations as recorded by crossref.
- A first evaluation of multiple automatic pollen monitors run in parallel F. Tummon et al. 10.1007/s10453-021-09729-0
- Distribution Characteristics and Factors Influencing Culturable Bacterial Bioaerosols on a Dairy Farm in Northern China L. Ru et al. 10.3390/agriculture13091752
- Bioaerosol detection over Athens, Greece using the laser induced fluorescence technique S. Richardson et al. 10.1016/j.scitotenv.2019.133906
- Real-time sensing of bioaerosols: Review and current perspectives J. Huffman et al. 10.1080/02786826.2019.1664724
- Summertime fluorescent bioaerosol particles in the coastal megacity Tianjin, North China B. Cheng et al. 10.1016/j.scitotenv.2020.137966
- 基于归一化本征荧光信号的气溶胶分类技术研究 朱. Zhu Xinqi et al. 10.3788/CJL221427
- Intercomparison of Multiple UV-LIF Spectrometers Using the Aerosol Challenge Simulator E. Forde et al. 10.3390/atmos10120797
- An opinion review on sampling strategies, enumeration techniques, and critical environmental factors for bioaerosols: An emerging sustainability indicator for society and cities T. Kathiriya et al. 10.1016/j.eti.2020.101287
- Source identification of airborne bacteria in the mountainous area and the urban areas F. Mu et al. 10.1016/j.atmosres.2019.104676
- Variability of the Atmospheric PM10 Microbiome in Three Climatic Regions of France A. Samaké et al. 10.3389/fmicb.2020.576750
- Biological and Nonbiological Sources of Fluorescent Aerosol Particles in the Urban Atmosphere S. Yue et al. 10.1021/acs.est.1c07966
- Forecasting of bioaerosol concentration by a Back Propagation neural network model X. Li et al. 10.1016/j.scitotenv.2019.134315
- Airborne Bacterial and Eukaryotic Community Structure across the United Kingdom Revealed by High-Throughput Sequencing H. Song et al. 10.3390/atmos11080802
- Pollen clustering strategies using a newly developed single-particle fluorescence spectrometer B. Swanson & J. Huffman 10.1080/02786826.2019.1711357
- Sensitivities to biological aerosol particle properties and ageing processes: potential implications for aerosol–cloud interactions and optical properties M. Zhang et al. 10.5194/acp-21-3699-2021
- Detection of Airborne Biological Particles in Indoor Air Using a Real-Time Advanced Morphological Parameter UV-LIF Spectrometer and Gradient Boosting Ensemble Decision Tree Classifiers I. Crawford et al. 10.3390/atmos11101039
- Seasonal variation of quantitative microbial risk assessment for three airborne enteric bacteria from wastewater treatment plant emissions Z. Gui et al. 10.1016/j.ecoenv.2022.113689
- Comparative Analysis of Traditional and Advanced Clustering Techniques in Bioaerosol Data: Evaluating the Efficacy of K-Means, HCA, and GenieClust with and without Autoencoder Integration M. Moss et al. 10.3390/atmos14091416
Latest update: 19 Apr 2024
Short summary
The abundance and diversity of airborne biological particles in different environments remains poorly constrained. Measurements of such particles were conducted at four sites in the United Kingdom, using real-time fluorescence instrumentation. Using local land cover types, sources of suspected particle types were identified and compared. Most sites exhibited a wet-discharged fungal spore dominance, with the exception of one site, which was inferred to be influenced by a local dairy farm.
The abundance and diversity of airborne biological particles in different environments remains...
Altmetrics
Final-revised paper
Preprint