2020
DOI: 10.1007/s41810-020-00085-z
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Characterization of PM2.5 Carbonaceous Particles with a High-Efficiency SEM: A Case Study at a Suburban Area of Xi’an

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Cited by 5 publications
(3 citation statements)
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“…Amongst the various PM characteristics, PM mass, number, and size are vital parameters for research. Particles have a high retention time in the atmosphere causing high risk to the human respiratory system (Wang et al 2021). PM physical, and PM chemical properties affect soot.…”
Section: Introductionmentioning
confidence: 99%
“…Amongst the various PM characteristics, PM mass, number, and size are vital parameters for research. Particles have a high retention time in the atmosphere causing high risk to the human respiratory system (Wang et al 2021). PM physical, and PM chemical properties affect soot.…”
Section: Introductionmentioning
confidence: 99%
“…To better understand the influence of SO 2 on particle composition, individual particles (d a , 0.32-0.56 μm) within PM 2.5 from each case study day were analyzed using CCSEM-EDX. Five main types of particles were identified across the two case study days based on the elemental composition: carbonaceous (which can include both organic carbon and soot, as these are not differentiated using EDX), ,,, Ca-rich, , Si-rich, ,, Fe-rich, ,, and biological. , Figure shows representative single-particle EDX spectra and corresponding SEM images for each of these most abundant particle types. Based on spreading upon impaction, projected area diameters (d pa ) in the images of Figure are larger than aerodynamic diameters. , …”
Section: Resultsmentioning
confidence: 99%
“…The traditional electron microscope analysis needs a manual operation, which can only analyze about 1000 particles per hour, and the analysis efficiency is low; The computer-controlled scanning electron microscope and energy spectrum system (CCSEM-EDX) can obtain energy spectrum and image information of thousands of particles per hour, significantly improving the efficiency of particle analysis. Currently, scholars have used CCSEM-EDX to study the change of the mass concentration of specific types of particulate matter with time in a small area, the spatial variability of the mass and composition of regional particulate matter, and the seasonal change of particulate matter [5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%