scholarly journals Ionization Mechanisms in a Laser-Produced Plasma for Single Particle Aerosol Mass Spectrometers.

2020 ◽  
Author(s):  
Amanda Lietz ◽  
◽  
Matthew Hopkins ◽  
Benjamin Yee ◽  
Harry Moffat ◽  
...  
Keyword(s):  
Single Particle ◽  
Mass Spectrometers ◽  
Ionization Mechanisms ◽  
Aerosol Mass ◽  
Laser Produced Plasma

scholarly journals Simultaneous measurements of urban and rural particles in Beijing – Part 1: Chemical composition and mixing state

2020 ◽  
Vol 20 (15) ◽  
pp. 9231-9247 ◽  
Author(s):  
Yang Chen ◽  
Jing Cai ◽  
Zhichao Wang ◽  
Chao Peng ◽  
Xiaojiang Yao ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Single Particle ◽  
Urban Areas ◽  
Rural Site ◽  
Mixing State ◽  
Mass Spectrometers ◽  
Rural And Urban Areas ◽  
Aerosol Mass ◽  
Rural And Urban ◽  
Rural Sites

Abstract. Two single-particle aerosol mass spectrometers (SPAMSs) were deployed simultaneously at an urban and a rural site in Beijing during an intensive field campaign from 1 to 29 November 2016 to investigate the source and process of airborne particles in Beijing. In the first part of this research, we report the single-particle chemical composition, mixing state, and evolution at both sites. A total of 96 % and 98 % of collected particles were carbonaceous at the urban and rural sites, respectively. Five particle categories, including elemental carbon (EC), organic carbon (OC), internal-mixed EC and OC (ECOC), potassium-rich (K-rich), and metals, were observed at both sites. The categories were partitioned into particle types depending on different atmospheric processing stages. A total of 17 particle types were shared at both sites. In the urban area, nitrate-containing particle types, such as EC-Nit (Nit: nitrate) and ECOC-Nit, were enriched especially at night, sulfate-containing particles were transported when wind speed was high, and ECOC-Nit-Sul (Sul: sulfate) were mostly aged locally. In sum, these processed particles added up to 85.3 % in the urban areas. In the rural area, regional particles were abundant, but freshly emitted ECOC and OC had distinct patterns that were pronounced at cooking and heating times. Biomass burning, traffic, and coal burning were major sources of particulate matter (PM2.5) in both rural and urban areas. Moreover, particles from the steel industry located in the south were also identified. In summary, the chemical composition of urban and rural particle types was similar in Beijing; the urban particles were influenced significantly by rural processing and transport. The work is useful to understand the evolution of urban and rural particles in Beijing during winter.

Analysis of Cigarette Smoke Aerosol by Single Particle Aerosol Mass Spectrometer

2013 ◽  
Vol 40 (6) ◽  
pp. 936-939
Author(s):  
Mei LI ◽  
Jun-Guo DONG ◽  
Zheng-Xu HUANG ◽  
Lei LI ◽  
Wei GAO ◽  
...  
Keyword(s):  
Cigarette Smoke ◽  
Mass Spectrometer ◽  
Single Particle ◽  
Aerosol Mass Spectrometer ◽  
Smoke Aerosol ◽  
Aerosol Mass

scholarly journals Characteristics of long-range transported PM2.5 at a coastal city using the single particle aerosol mass spectrometry

2019 ◽  
Vol 24 (4) ◽  
pp. 690-698 ◽  
Author(s):  
Qiuliang Cai ◽  
Lei Tong ◽  
Jingjing Zhang ◽  
Jie Zheng ◽  
Mengmeng He ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Long Range ◽  
Single Particle ◽  
Coastal City ◽  
Aerosol Mass ◽  
Aerosol Mass Spectrometry

scholarly journals Single-particle measurements of bouncing particles and in situ collection efficiency from an airborne aerosol mass spectrometer (AMS) with light-scattering detection

2017 ◽  
Vol 10 (10) ◽  
pp. 3801-3820 ◽  
Author(s):  
Jin Liao ◽  
Charles A. Brock ◽  
Daniel M. Murphy ◽  
Donna T. Sueper ◽  
André Welti ◽  
...  
Keyword(s):  
Light Scattering ◽  
Mass Spectrometer ◽  
Single Particle ◽  
Total Mass ◽  
Mass Spectra ◽  
Collection Efficiency ◽  
Aerosol Mass Spectrometer ◽  
Mass Spectral ◽  
Aerosol Mass ◽  
Spectral Signal

Abstract. A light-scattering module was coupled to an airborne, compact time-of-flight aerosol mass spectrometer (LS-AMS) to investigate collection efficiency (CE) while obtaining nonrefractory aerosol chemical composition measurements during the Southeast Nexus (SENEX) campaign. In this instrument, particles scatter light from an internal laser beam and trigger saving individual particle mass spectra. Nearly all of the single-particle data with mass spectra that were triggered by scattered light signals were from particles larger than ∼ 280 nm in vacuum aerodynamic diameter. Over 33 000 particles are characterized as either prompt (27 %), delayed (15 %), or null (58 %), according to the time and intensity of their total mass spectral signals. The particle mass from single-particle spectra is proportional to that derived from the light-scattering diameter (dva-LS) but not to that from the particle time-of-flight (PToF) diameter (dva-MS) from the time of the maximum mass spectral signal. The total mass spectral signal from delayed particles was about 80 % of that from prompt ones for the same dva-LS. Both field and laboratory data indicate that the relative intensities of various ions in the prompt spectra show more fragmentation compared to the delayed spectra. The particles with a delayed mass spectral signal likely bounced off the vaporizer and vaporized later on another surface within the confines of the ionization source. Because delayed particles are detected by the mass spectrometer later than expected from their dva-LS size, they can affect the interpretation of particle size (PToF) mass distributions, especially at larger sizes. The CE, measured by the average number or mass fractions of particles optically detected that had measurable mass spectra, varied significantly (0.2–0.9) in different air masses. The measured CE agreed well with a previous parameterization when CE > 0.5 for acidic particles but was sometimes lower than the minimum parameterized CE of 0.5.

scholarly journals The real part of the refractive indices and effective densities for chemically segregated ambient aerosols in Guangzhou measured by a single-particle aerosol mass spectrometer

2016 ◽  
Vol 16 (4) ◽  
pp. 2631-2640 ◽  
Author(s):  
Guohua Zhang ◽  
Xinhui Bi ◽  
Ning Qiu ◽  
Bingxue Han ◽  
Qinhao Lin ◽  
...  
Keyword(s):  
Mass Spectrometer ◽  
Atmospheric Aerosols ◽  
Single Particle ◽  
Refractive Indices ◽  
Chemical Compositions ◽  
Aerosol Mass Spectrometer ◽  
The Real ◽  
Aerosol Mass ◽  
Wide Range ◽  
The Impact

Abstract. Knowledge on the microphysical properties of atmospheric aerosols is essential to better evaluate their radiative forcing. This paper presents an estimate of the real part of the refractive indices (n) and effective densities (ρeff) of chemically segregated atmospheric aerosols in Guangzhou, China. Vacuum aerodynamic diameter, chemical compositions, and light-scattering intensities of individual particles were simultaneously measured by a single-particle aerosol mass spectrometer (SPAMS) during the fall of 2012. On the basis of Mie theory, n at a wavelength of 532 nm and ρeff were estimated for 17 particle types in four categories: organics (OC), elemental carbon (EC), internally mixed EC and OC (ECOC), and Metal-rich. The results indicate the presence of spherical or nearly spherical shapes for the majority of particle types, whose partial scattering cross-section versus sizes were well fitted to Mie theoretical modeling results. While sharing n in a narrow range (1.47–1.53), majority of particle types exhibited a wide range of ρeff (0.87–1.51 g cm−3). The OC group is associated with the lowest ρeff (0.87–1.07 g cm−3), and the Metal-rich group with the highest ones (1.29–1.51 g cm−3). It is noteworthy that a specific EC type exhibits a complex scattering curve versus size due to the presence of both compact and irregularly shaped particles. Overall, the results on the detailed relationship between physical and chemical properties benefits future research on the impact of aerosols on visibility and climate.

Analysis of Cigarette Smoke Aerosol by Single Particle Aerosol Mass Spectrometer

2012 ◽  
Vol 40 (6) ◽  
pp. 936-939 ◽  
Author(s):  
Mei LI ◽  
Jun-Guo DONG ◽  
Zheng-Xu HUANG ◽  
Lei LI ◽  
Wei GAO ◽  
...  
Keyword(s):  
Cigarette Smoke ◽  
Mass Spectrometer ◽  
Single Particle ◽  
Aerosol Mass Spectrometer ◽  
Smoke Aerosol ◽  
Aerosol Mass
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