Real-time characterization of individual aerosol particles using time-of-flight mass spectrometry

Prather, Kimberly A.; Nordmeyer, Trent; Salt, K.

doi:10.1021/ac00081a007

Cited by 311 publications

(252 citation statements)

References 13 publications

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“…However, these methods suffer from some artifacts, such as evaporation and chemical reactions of particles during sample collection, storage and analysis (Bzdek et al, 2012;Lee and Allen, 2012). Single Particle Mass Spectrometry (SPMS) provides real-time size and chemical composition data for individual aerosol particles (Li et al, 2011;Prather et al, 1994). The development and application of SPMS during the past decades improve insight into gas-particle partitioning, heterogeneous reactions, and par-ticle sources (Creamean et al, 2013;Pratt and Prather, 2012).…”

Section: Introductionmentioning

confidence: 99%

Measurement of aerosol effective density by single particle mass spectrometry

Zhang

Han

et al. 2015

Sci. China Earth Sci.

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Single particle mass spectrometry has been widely used to determine the size and chemical compositions of atmospheric aerosols; however, it is still rarely used for the microphysical properties measurement. In this study, two methods were developed for determining aerosol effective density by a single particle aerosol mass spectrometer (SPAMS). Method I retrieved effective density through comparison between measured light scattering intensities and Mie theoretical modelled partial scattering cross section. Method II coupled a differential mobility analyzer (DMA) with SPAMS to simultaneously determine the electric mobility and vacuum aerodynamic diameter, and thus the effective density. Polystyrene latex spheres, ammonium sulfate and sodium nitrate were tested by these methods to help validate their effectiveness for determining the aerosol effective density. This study effectively extends SPAMS measurements to include particle size, chemical composition, light scattering, and effective density, and thus helps us better understand the environment and climate effects of aerosols.

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Section: Introductionmentioning

confidence: 99%

Measurement of aerosol effective density by single particle mass spectrometry

Zhang

Han

et al. 2015

Sci. China Earth Sci.

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“…Schauer et al (1996) and Schauer and Cass (2000) employed molecular marker source apportionment models, which used unique particle-phase organic compounds to apportion the source contributions of nine primary sources to atmospheric fine particulate matter concentrations in the Los Angeles Basin and the San Joaquin Valley in California. Bhave et al (2001) demonstrated the feasibility of source apportionment of real-time single particle mass spectrometry measurements that were collected using an aerosol time-of-flight mass spectrometer (ATOFMS) (Prather et al, 1994;Noble and Prather, 1996). Although these source apportionment methods have been developed, they are relatively expensive and can only be conducted by a limited number of analytical laboratories.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of elemental carbon as a marker for diesel particulate matter

Schauer

2003

J Expo Sci Environ Epidemiol

219

123

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Elemental carbon (EC) in atmospheric particulate matter originates from a broad range of sources in many urban locations. As health and air quality studies are using elemental carbon measurements to better understand the impact of diesel engines and other combustion sources, there is a great need to clearly understand the relative source contributions to EC concentrations in the atmosphere. However, the different analytical techniques currently used to measure EC do not show good agreement for many particulate matter samples. To this end, studies that use EC as a tracer and integrate different analytical techniques for EC can significantly bias estimates of source contributions to atmospheric particulate matter. In addition, source attribution studies that do not properly address all sources of EC in the atmosphere can also lead to inaccuracies and biases. To better understand the use of EC as a tracer, a review of the distribution of EC in the primary particulate matter emissions from air pollution sources using different analytical methods is discussed. A review of previous apportionment studies of particulate matter is presented to elucidate the fraction of EC that results from emissions from diesel engines in urban locations. These results demonstrate that EC is not a unique tracer for diesel exhaust and efforts to utilize EC as an indicator of diesel exhaust must properly address other sources of EC as well as utilize a consistent measurement technique for EC when comparing source and ambient EC measurements to avoid significant biases.

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“…Another approach uses an aerodynamic particle time-of-flight to select the particle size range, followed by thermal vaporization and analysis using molecular mass spectrometry (Kolb et al, 2000). Other instruments perform single-particle composition analysis using mass spectrometry (McKeown et al, 1991;Carson et al, 1995;Marijinissen et al, 1988;Liu et al, 1999;Middlebrook et al, 2001;Prather et al, 1994). Single particle mass spectrometry measurements are generally not quantitative, although they provide valuable single-particle composition information.…”

Section: Introductionmentioning

confidence: 99%

Semi-continuous PM2.5 inorganic composition measurements during the Pittsburgh Air Quality Study

Wittig

2004

Atmospheric Environment

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A method for semi-continuous (10 min time resolution) PM 2.5 nitrate and sulfate measurements, based on the humidified impaction with flash volatilization design of Stolzenburg and Hering (Environ. Sci. Technol. 34 (2000) 907), was evaluated during the Pittsburgh Air Quality Study (PAQS) from July 2001 to August 2002. The semi-continuous measurements were corrected for several operating parameters. The overall corrections were less than 10% on average, but could be quite large for individual 10 min measurements. These corrections resulted in an improvement in the agreement of the measurements with the filter-based measurements, with a major axis regression relationship of y ¼ 0:83x þ 0:20 mg m À3 and R 2 of 0.84 for nitrate and y ¼ 0:71x þ 0:42 mg m À3 and R 2 of 0.83 for sulfate. The corrected semi-continuous measurements were calibrated over the entire year using collocated denuder/filterpack-based measurements. These calibrated semi-continuous measurements are used in conjunction with temporally resolved gas-phase measurements of total (gas-and aerosol-phase) nitrate and meteorological measurements to investigate short-term phenomena at the Pittsburgh Supersite. The gas-to-particle partitioning of nitrate varied daily and seasonally, with a majority of the nitrate in the particle phase at night and during the winter months. r

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Real-time characterization of individual aerosol particles using time-of-flight mass spectrometry

Cited by 311 publications

References 13 publications

Measurement of aerosol effective density by single particle mass spectrometry

Measurement of aerosol effective density by single particle mass spectrometry

Evaluation of elemental carbon as a marker for diesel particulate matter

Semi-continuous PM2.5 inorganic composition measurements during the Pittsburgh Air Quality Study

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