Fluorescence spectra and elastic scattering characteristics of atmospheric aerosol in Las Cruces, New Mexico, USA: Variability of concentrations and possible constituents and sources of particles in various spectral clusters

Pinnick, Ronald G.; Fernández, Elena; Rosen, James M.; Hill, Steven C.; Wang, Y.; Pan, Yong

doi:10.1016/j.atmosenv.2012.09.020

Cited by 27 publications

(13 citation statements)

References 18 publications

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“…FL2, FL3, and FL23 were major constituents of dust‐type FL aerosols. The fluorophores of these FL aerosol types are considered to be soil‐derived organic matter, such as “humus,” which has been suggested in several previous studies [e.g., Chen et al ., ; Pinnick et al ., ; Taketani et al ., ]. The fact that the fluorescence intensities of humus are weak [ Pöhlker et al ., ] is consistent with our results shown in Figure .…”

Section: Discussionmentioning

confidence: 99%

Ground‐based measurement of fluorescent aerosol particles in Tokyo in the spring of 2013: Potential impacts of nonbiological materials on autofluorescence measurements of airborne particles

et al. 2015

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We present results from the observation of fluorescent (FL) aerosols in Tokyo in the spring of 2013. Ambient aerosol particles were analyzed using a single‐particle laser‐induced fluorescence instrument. The fluorescent emission from a single particle excited by a pulsed UV laser (excitation wavelength of 263 nm) was detected by three photomultiplier tubes with band‐pass filters (fluorescence wavelength of 335–379, 420–500, and 500–600 nm). Fluorescence patterns from single particles were analyzed for investigating fluorophores and their sources using backward trajectory analysis, factor analysis, and a comparison with other tracer observations. The backward trajectory analysis suggested possible influences of long‐range transport from northern China in some cases. Observed supermicron FL aerosols were classified into two types: combustion‐ and dust‐type particles. The detection of combustion‐type FL aerosols, which showed temporal variations similar to nitrogen oxides and elemental carbon, implied the presence of polyaromatic hydrocarbons (PAHs) and their derivatives. Dust‐type FL aerosols, which were well correlated with the lidar‐derived dust‐aerosol optical depth near the surface (<1 km) and with mineral ions, were dominant in the supermicron size range. The number concentrations of coarse FL aerosols (≥2 µm), with which nonnegligible levels of fluorescence were recorded in all three channels, increased during Asian dust events (relative to a local dust event). It is suggested that PAHs and/or biological materials mixed with dust particles were transported from the North China Plain to the outflow region in East Asia during the observation period. Moreover, the autofluorescence measurement of airborne particles can be substantially affected by nonbiological materials in this region.

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Section: Discussionmentioning

confidence: 99%

Ground‐based measurement of fluorescent aerosol particles in Tokyo in the spring of 2013: Potential impacts of nonbiological materials on autofluorescence measurements of airborne particles

et al. 2015

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“…Various cluster analysis techniques have previously been used to classify single-particle fluorescence data (Pinnick, 2004;Pan et al, 2007Pan et al, , 2012Pinnick et al, 2013) and mass spectral data (Murphy et al, 2003), as well as back trajectories (Cox et al, 2005;Kalkstein et al, 1987;Robinson et al, 2011). In addition, neural networks have been trained to dynamically classify single-particle mass spectral data (Song et al, 1999).…”

Section: The Wideband Integrated Bioaerosol Sensormentioning

confidence: 99%

“…To date, this has largely been achieved by the use of off-line techniques, which, whilst allowing accurate identification of different aerosols, are labour-intensive, have poor time resolution and introduce significant identification biases. Several light-induced fluorescence techniques have recently been developed which characterise the auto-fluorescence of particles, utilizing the presence of certain biofluorophores such as NAD(P)H, riboflavin, and tryptophan as indicators of PBAP N. H. Robinson et al: Cluster analysis of WIBS data material (Hill et al, 2001;Huffman et al, 2010;Kaye et al, 2005;Pöhlker et al, 2012;Sivaprakasam et al, 2004Sivaprakasam et al, , 2011Pan et al, 2007Pan et al, , 2012Pinnick et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Cluster analysis of WIBS single particle bioaerosol data

Robinson¹,

Allan²,

Huffman³

et al. 2012

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Hierarchical agglomerative cluster analysis was performed on single-particle multi-spatial datasets comprising optical diameter, asymmetry and three different fluorescence measurements, gathered using two dual Waveband Integrated Bioaerosol Sensor (WIBS). The technique is demonstrated on measurements of various fluorescent and non-fluorescent polystyrene latex spheres (PSL) before being applied to two separate contemporaneous ambient WIBS datasets recorded in a forest site in Colorado, USA as part of the BEACHON-RoMBAS project. Cluster analysis results between both datasets are consistent. Clusters are tentatively interpreted by comparison of concentration time series and cluster average measurement values to the published literature (of which there is a paucity) to represent: non-fluorescent accumulation mode aerosol; bacterial agglomerates; and fungal spores. To our knowledge, this is the first time cluster analysis has been applied to long term online PBAP measurements. The novel application of this clustering technique provides a means for routinely reducing WIBS data to discrete concentration time series which are more easily interpretable, without the need for any a priori assumptions concerning the expected aerosol types. It can reduce the level of subjectivity compared to the more standard analysis approaches, which are typically performed by simple inspection of various ensemble data products. It also has the advantage of potentially resolving less populous or subtly different particle types. This technique is likely to become more robust in the future as fluorescence-based aerosol instrumentation measurement precision, dynamic range and the number of available metrics is improved

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“…material (Hill et al, 2001;Huffman et al, 2010;Kaye et al, 2005;Pöhlker et al, 2012;Sivaprakasam et al, 2004Sivaprakasam et al, , 2011Pan et al, 2007Pan et al, , 2012Pinnick et al, 2013).…”

Section: N H Robinson Et Al: Cluster Analysis Of Wibs Datamentioning

confidence: 99%

Section: The Wideband Integrated Bioaerosol Sensormentioning

confidence: 99%

Cluster analysis of WIBS single-particle bioaerosol data

et al. 2013

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?? Author(s) 2013. This work is distributed under the Creative Commons Attribution 3.0 LicenseHierarchical agglomerative cluster analysis was performed on single-particle multi-spatial data sets comprising optical diameter, asymmetry and three different ???uorescence measurements, gathered using two dual Wideband Integrated Bioaerosol Sensors (WIBSs). The technique is demonstrated on measurements of various ???uorescent and non-???uorescent polystyrene latex spheres (PSL) before being applied to two separate contemporaneous ambient WIBSdata sets recorded in a forest site in Colorado, USA, as part of the BEACHON-RoMBAS project. Cluster analysis results between both data sets are consistent. Clusters are tentatively interpreted by comparison of concentration time series and cluster average measurement values to the published literature (of which there is a paucity) to represent the following: non-???uorescent accumulation mode aerosol; bacterial agglomerates; and fungal spores. To our knowledge, this is the ???rst time cluster analysis has been applied to long-term online primary biological aerosol particle (PBAP) measurements. The novel application of this clustering technique provides a means for routinely reducing WIBS data to discrete concentration time series which are more easily interpretable, without the need for any a priori assumptions concerning the expected aerosol types. It can reduce the level of subjectivity compared to the more standard analysis approaches, which are typically performed by simple inspection of various ensemble data products. It also has the advantage of potentially resolving less populous or subtly different particle types. This technique is likely to become more robust in the future as ???uorescence-based aerosol instrumentation measurement precision, dynamic range and the number of available metrics are improved

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Fluorescence spectra and elastic scattering characteristics of atmospheric aerosol in Las Cruces, New Mexico, USA: Variability of concentrations and possible constituents and sources of particles in various spectral clusters

Cited by 27 publications

References 18 publications

Ground‐based measurement of fluorescent aerosol particles in Tokyo in the spring of 2013: Potential impacts of nonbiological materials on autofluorescence measurements of airborne particles

Ground‐based measurement of fluorescent aerosol particles in Tokyo in the spring of 2013: Potential impacts of nonbiological materials on autofluorescence measurements of airborne particles

Cluster analysis of WIBS single particle bioaerosol data

Cluster analysis of WIBS single-particle bioaerosol data

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