Seasonal variation and chemical composition of particulate matter: A study by XPS, ICP-AES and sequential microanalysis using Raman with SEM/EDS

González, Lucy T.; Rodríguez, F.E. Longoria; Sánchez-Domínguez, Margarita; Leyva‐Porras, César; Acuña‐Askar, Karim; Kharissov, Boris Ildusovich; Arizpe-Zapata, Alejandro; Barbosa, Juan Manuel Alfaro

doi:10.1016/j.jes.2018.02.002

Cited by 39 publications

(26 citation statements)

References 68 publications

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“…The 24-h filter samples of particulate matter were collected every six days during the study period. This sampling frequency has been largely used by other authors [47][48][49] , and it has been shown that it is a good frequency to determine the seasonal variation in the PM concentration and chemical composition 50,51 . To minimize costs, two filters per month for each site were selected to carry out the chemical analysis.…”

Section: Methodsmentioning

confidence: 99%

Seasonal variations in PM10 inorganic composition in the Andean city

Žalakevičiūtė

Alexandrino

Rybarczyk

et al. 2020

Sci Rep

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Particulate matter (PM) is one of the key pollutants causing health risks worldwide. While the preoccupation for increased concentrations of these particles mainly depends on their sources and thus chemical composition, some regions are yet not well investigated. In this work the composition of chemical elements of atmospheric PM10 (particles with aerodynamic diameters ≤ 10 µm), collected at the urban and suburban sites in high elevation tropical city, were chemically analysed during the dry and wet seasons of 2017–2018. A large fraction (~ 68%) of PM10 composition in Quito, Ecuador is accounted for by water-soluble ions and 16 elements analysed using UV/VIS spectrophotometer and Inductively Coupled Plasma—Optical Emission Spectroscopy (ICP-OES). Hierarchical clustering analysis was performed to study a correlation between the chemical composition of urban pollution and meteorological parameters. The suburban area displays an increase in PM10 concentrations and natural elemental markers during the dry (increased wind intensity, resuspension of soil dust) season. Meanwhile, densely urbanized area shows increased total PM10 concentrations and anthropogenic elemental markers during the wet season, which may point to the worsened combustion and traffic conditions. This might indicate the prevalence of cardiovascular and respiratory problems in motorized areas of the cities in the developing world.

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Section: Methodsmentioning

confidence: 99%

Seasonal variations in PM10 inorganic composition in the Andean city

Žalakevičiūtė

Alexandrino

Rybarczyk

et al. 2020

Sci Rep

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“…The analysis showed particles with different sizes, morphologies (irregular, spherical, and clusters), and compositions, indicating that the chemical composition of the PM 10 in the study site was influenced by both anthropogenic and natural sources. Some authors [40][41][42] have related spherical particles to anthropogenic sources (high temperature combustion processes), whereas other studies have reported an association between natural sources and particles with irregular morphologies [40,43,44]. The analyzed samples showed the dominant presence of Iron both in spherical particles and in irregularly shaped particles, which indicates that this element had its origin in both natural and anthropogenic sources.…”

Section: Discussionmentioning

confidence: 90%

Trace Metal Content and Health Risk Assessment of PM10 in an Urban Environment of León, Mexico

Bretón

Guzman

et al. 2019

Atmosphere

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Trace metal concentrations in PM10 were measured in an urban–industrial site in León, Mexico in three different seasons. PM10 were collected in quartz fiber filters of 47 mm diameter using low volume equipment operating with a controlled flow of 5 L min−1 over 24 h. Mass concentrations were gravimetrically determined and it was found that PM10 samples showed values in excess of the Mexican standard and the established values by WHO during cold dry and warm dry seasons. Morphology of selected particles was studied by SEM-EDS analysis, and the elemental composition was determined. Collected samples were analyzed by atomic absorption spectrometry in order to quantify ambient air concentrations of some trace metals (Cu, Co, Zn, Cd, Fe, Mg, and Mn). Median concentrations of trace metals showed the maximum value for iron (3.079 μgm−3) and the minimum value for Cd (0.050 μgm−3) over the entire period. From the meteorological analysis, it was found that sources located SW and ESE of the sampling site contributed to the levels of trace metals in PM10 in the studied site. The health risk assessment found that the population of León is at increased lifetime risk of experiencing cancer because of exposure to these concentrations of PM10 and their trace metal content.

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“…Gonzalez et al (2018) demonstrated that both the D and G bands of amorphous C were able to mask the Raman signals of Fe-rich particles under a low-intensity laser. However, the carbonaceous covering of the particles degraded as the beam intensity was increased, thus allowing bands associated with Fe 2 O 3 to be detected from the particles [ 56 ]. Similarly, Worobiec et al (2010) indicated that the predominance of bands in the Raman spectrum that belong to carbonaceous deposits on the particle surface becomes so strong that it is difficult to perform the correct analysis [ 57 ].…”

Section: Resultsmentioning

confidence: 99%

Sequential SEM-EDS, PLM, and MRS Microanalysis of Individual Atmospheric Particles: A Useful Tool for Assigning Emission Sources

Rodríguez

González

Mancilla

et al. 2021

Toxics

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In this work, the particulate matter (PM) from three different monitoring stations in the Monterrey Metropolitan Area in Mexico were investigated for their compositional, morphological, and optical properties. The main aim of the research was to decipher the different sources of the particles. The methodology involved the ex situ sequential analysis of individual particles by three analytical techniques: scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDS), polarized light microscopy (PLM), and micro-Raman spectroscopy (MRS). The microanalysis was performed on samples of total suspended particles. Different morphologies were observed for particles rich in the same element, including prismatic, spherical, spheroidal, and irregular morphologies. The sequential microanalysis by SEM-EDS/PLM/MRS revealed that Fe-rich particles with spherical and irregular morphologies were derived from anthopogenic sources, such as emissions from the metallurgical industry and the wear of automobile parts, respectively. In contrast, Fe-rich particles with prismatic morphologies were associated with natural sources. In relation to carbon (C), the methodology was able to distinguish between the C-rich particles that came from different anthopogenic sources—such as the burning of fossil fuels, biomass, or charcoal—and the metallurgical industry. The optical properties of the Si-rich particles depended, to a greater extent, on their chemical composition than on their morphology, which made it possible to quickly and accurately differentiate aluminosilicates from quartz. The methodology demonstrated in this study was useful for performing the speciation of the particles rich in different elements. This differentiation helped to assign their possible emission sources.

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Seasonal variation and chemical composition of particulate matter: A study by XPS, ICP-AES and sequential microanalysis using Raman with SEM/EDS

Cited by 39 publications

References 68 publications

Seasonal variations in PM10 inorganic composition in the Andean city

Seasonal variations in PM10 inorganic composition in the Andean city

Trace Metal Content and Health Risk Assessment of PM10 in an Urban Environment of León, Mexico

Sequential SEM-EDS, PLM, and MRS Microanalysis of Individual Atmospheric Particles: A Useful Tool for Assigning Emission Sources

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