Articles | Volume 6, issue 2
https://doi.org/10.5194/amt-6-337-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-6-337-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Feb 2013
Research article |
| 13 Feb 2013
Cluster analysis of WIBS single-particle bioaerosol data
N. H. Robinson
The Centre for Atmospheric Science, School of Earth Atmospheric and Environmental Science, The University of Manchester, Manchester, UK
J. D. Allan
The Centre for Atmospheric Science, School of Earth Atmospheric and Environmental Science, The University of Manchester, Manchester, UK
The National Centre for Atmospheric Science, The University of Manchester, Manchester, UK
J. A. Huffman
Department of Chemistry and Biochemistry, University of Denver, CO, USA
P. H. Kaye
Centre for Atmospheric & Instrumentation Research, STRI, University of Hertfordshire, Hatfield, AL10 9AB, UK
V. E. Foot
DSTL, Porton Down, Salisbury, Wiltshire, SP4 0JQ, UK
M. Gallagher
The Centre for Atmospheric Science, School of Earth Atmospheric and Environmental Science, The University of Manchester, Manchester, UK
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- Analysis of single‐cell microbial mass spectra profiles from single‐particle aerosol mass spectrometry C. Liu et al. 10.1002/rcm.9069
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- Forecasting of bioaerosol concentration by a Back Propagation neural network model X. Li et al. 10.1016/j.scitotenv.2019.134315
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- Unveiling the Role of Bioaerosols in Climate Processes: A Mini Review K. Kumari & S. Yadav 10.1007/s41742-024-00633-2
- Discriminating Bio-aerosols from Non-Bio-aerosols in Real-Time by Pump-Probe Spectroscopy G. Sousa et al. 10.1038/srep33157
51 citations as recorded by crossref.
- Fluorescent bioaerosol particle, molecular tracer, and fungal spore concentrations during dry and rainy periods in a semi-arid forest M. Gosselin et al. 10.5194/acp-16-15165-2016
- Evaluation of machine learning algorithms for classification of primary biological aerosol using a new UV-LIF spectrometer S. Ruske et al. 10.5194/amt-10-695-2017
- On-line measurement of fluorescent aerosols near an industrial zone in the Yangtze River Delta region using a wideband integrated bioaerosol spectrometer Y. Ma et al. 10.1016/j.scitotenv.2018.11.370
- Direct on-strip analysis of size- and time-resolved aerosol impactor samples using laser induced fluorescence spectra excited at 263 and 351 nm C. Wang et al. 10.1016/j.aca.2014.02.037
- Characterization of steady-state fluorescence properties of polystyrene latex spheres using off- and online spectroscopic methods T. Könemann et al. 10.5194/amt-11-3987-2018
- A Modified Spectroscopic Approach for the Real-Time Detection of Pollen and Fungal Spores at a Semi-Urban Site Using the WIBS-4+, Part I E. Markey et al. 10.3390/s22228747
- BIOAEROSOLS AND HEALTH: CURRENT KNOWLEDGE AND GAPS IN THE FIELD OF WASTE MANAGEMENT O. Schlosser 10.31025/2611-4135/2019.13786
- Classification of iron oxide aerosols by a single particle soot photometer using supervised machine learning K. Lamb 10.5194/amt-12-3885-2019
- Ambient measurements of biological aerosol particles near Killarney, Ireland: a comparison between real-time fluorescence and microscopy techniques D. Healy et al. 10.5194/acp-14-8055-2014
- Evaluation of hierarchical agglomerative cluster analysis methods for discrimination of primary biological aerosol I. Crawford et al. 10.5194/amt-8-4979-2015
- Machine learning for improved data analysis of biological aerosol using the WIBS S. Ruske et al. 10.5194/amt-11-6203-2018
- Ambient measurement of fluorescent aerosol particles with a WIBS in the Yangtze River Delta of China: potential impacts of combustion-related aerosol particles X. Yu et al. 10.5194/acp-16-11337-2016
- Time-resolved monitoring of polycyclic aromatic hydrocarbons adsorbed on atmospheric particles G. Sousa et al. 10.1007/s11356-017-9612-2
- Pollen clustering strategies using a newly developed single-particle fluorescence spectrometer B. Swanson & J. Huffman 10.1080/02786826.2019.1711357
- RealForAll: real-time system for automatic detection of airborne pollen D. Tešendić et al. 10.1080/17517575.2020.1793391
- Characterisation and source identification of biofluorescent aerosol emissions over winter and summer periods in the United Kingdom E. Forde et al. 10.5194/acp-19-1665-2019
- High Relative Humidity as a Trigger for Widespread Release of Ice Nuclei T. Wright et al. 10.1080/02786826.2014.968244
- High concentrations of biological aerosol particles and ice nuclei during and after rain J. Huffman et al. 10.5194/acp-13-6151-2013
- Study on quantitative generation technology of bio-fluorescence calibration particles based on inkjet generator L. Guo et al. 10.1016/j.scitotenv.2024.174633
- Observations of fluorescent and biological aerosol at a high-altitude site in central France A. Gabey et al. 10.5194/acp-13-7415-2013
- Photophoretic trapping-Raman spectroscopy for single pollens and fungal spores trapped in air C. Wang et al. 10.1016/j.jqsrt.2014.11.004
- Effect of Stove Technology and Combustion Conditions on Gas and Particulate Emissions from Residential Biomass Combustion D. Bhattu et al. 10.1021/acs.est.8b05020
- Aspergillus fumigatus and mesophilic moulds in air in the surrounding environment downwind of non-hazardous waste landfill sites O. Schlosser et al. 10.1016/j.ijheh.2016.02.003
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- Development and characterization of an inexpensive single-particle fluorescence spectrometer for bioaerosol monitoring B. Swanson & J. Huffman 10.1364/OE.26.003646
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- Size-dependent fluorescence of bioaerosols: Mathematical model using fluorescing and absorbing molecules in bacteria S. Hill et al. 10.1016/j.jqsrt.2015.01.011
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- Fluorescence of bioaerosols: mathematical model including primary fluorescing and absorbing molecules in bacteria S. Hill et al. 10.1364/OE.21.022285
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- Detection and characterization of biological and other organic-carbon aerosol particles in atmosphere using fluorescence Y. Pan 10.1016/j.jqsrt.2014.06.007
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- A wavelength-dispersive instrument for characterizing fluorescence and scattering spectra of individual aerosol particles on a substrate D. Huffman et al. 10.5194/amt-9-3987-2016
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- Using flow cytometry and light-induced fluorescence to characterize the variability and characteristics of bioaerosols in springtime in Metro Atlanta, Georgia A. Negron et al. 10.5194/acp-20-1817-2020
- Review of elastic light scattering from single aerosol particles and application in bioaerosol detection Y. Pan et al. 10.1016/j.jqsrt.2022.108067
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4 citations as recorded by crossref.
- Forecasting of bioaerosol concentration by a Back Propagation neural network model X. Li et al. 10.1016/j.scitotenv.2019.134315
- Fluorescent biological aerosol particles measured with the Waveband Integrated Bioaerosol Sensor WIBS-4: laboratory tests combined with a one year field study E. Toprak & M. Schnaiter 10.5194/acp-13-225-2013
- Unveiling the Role of Bioaerosols in Climate Processes: A Mini Review K. Kumari & S. Yadav 10.1007/s41742-024-00633-2
- Discriminating Bio-aerosols from Non-Bio-aerosols in Real-Time by Pump-Probe Spectroscopy G. Sousa et al. 10.1038/srep33157
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