scholarly journals Application of X-ray fluorescence method for elemental analysis of PM2.5 fraction

Nukleonika ◽  
2015 ◽  
Vol 60 (3) ◽  
pp. 621-626 ◽  
Author(s):  
Lucyna Samek ◽  
Leszek Furman ◽  
Tomasz Kawik ◽  
Kinga Welnogorska
Keyword(s):  
Air Pollution ◽  
Trace Elements ◽  
Particulate Matter ◽  
Blood Vessel ◽  
Elemental Analysis ◽  
Gravimetric Method ◽  
Fluorescence Method ◽  
Scientific Interest ◽  
High Concentration ◽  
X Ray

Abstract The scientific interest in air pollution comes from its influence on human health, the condition of cultural heritage and climate. The PM2.5 fraction (particles of a diameter of 2.5 mm or below), indirectly, has a significant impact on health which is associated with respiratory tract and blood vessel related diseases. However, not only the size, but also the content of the particles has a significant meaning. To determine the particulate matter contents, elemental analysis can be performed using numerous techniques, the most important of which is X-ray fluorescence. In this study, samples of PM2.5 fraction collected in Krakow, Poland were analyzed. The X-ray fluorescence method was used to perform elemental analysis. The gravimetric method was applied to determine the concentration of the PM2.5 fraction. Low detection limits of individual elements and precision of the X-ray fluorescence method were determined. The concentrations of the following elements: Cl, K, Ca, Cr, Mn, Fe, Cu, Zn, Br, Rb, Sr and Pb in the PM2.5 fraction samples collected in Krakow were evaluated. The homogeneity of the samples was also estimated. The concentrations of PM2.5 fraction collected in the summer of 2013 were in the range of 6-23 ng/m3. The concentrations of PM2.5 fraction collected in the winter of 2013 were in the range of 26-171 ng/m3. The precision of the method was found to be below 1% for elements with high concentration in the sample and 6-8 % for trace elements.

scholarly journals Relationships between Meteorological Parameters and Particulate Matter in Mae Hong Son Province, Thailand

2018 ◽  
Vol 15 (12) ◽  
pp. 2801 ◽  
Author(s):  
Wissanupong Kliengchuay ◽  
Aronrag Cooper Meeyai ◽  
Suwalee Worakhunpiset ◽  
Kraichat Tantrakarnapa
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Meteorological Parameters ◽  
Warning System ◽  
Correlation Coefficients ◽  
Pm10 Concentration ◽  
P Value ◽  
Climate Data ◽  
High Concentration ◽  
Ambient Concentrations

Meteorological parameters play an important role in determining the prevalence of ambient particulate matter (PM) in the upper north of Thailand. Mae Hong Son is a province located in this region and which borders Myanmar. This study aimed to determine the relationships between meteorological parameters and ambient concentrations of particulate matter less than 10 µm in diameter (PM10) in Mae Hong Son. Parameters were measured at an air quality monitoring station, and consisted of PM10, carbon monoxide (CO), ozone (O3), and meteorological factors, including temperature, rainfall, pressure, wind speed, wind direction, and relative humidity (RH). Nine years (2009–2017) of pollution and climate data obtained from the Thai Pollution Control Department (PCD) were used for analysis. The results of this study indicate that PM10 is influenced by meteorological parameters; high concentration occurred during the dry season and northeastern monsoon seasons. Maximum concentrations were always observed in March. The PM10 concentrations were significantly related to CO and O3 concentrations and to RH, giving correlation coefficients of 0.73, 0.39, and −0.37, respectively (p-value < 0.001). Additionally, the hourly PM10 concentration fluctuated within each day. In general, it was found that the reporting of daily concentrations might be best suited to public announcements and presentations. Hourly concentrations are recommended for public declarations that might be useful for warning citizens and organizations about air pollution. Our findings could be used to improve the understanding of PM10 concentration patterns in Mae Hong Son and provide information to better air pollution measures and establish a warning system for the province.

scholarly journals Airborne Particulate Matter Density in Traditional Bakeries of Saveh, Central of Iran, in 2020

2020 ◽  
Author(s):  
Edris Hoseinzadeh ◽  
Mehrzad Ghorbani ◽  
Mahdi Safari ◽  
Najmeh Ebrahimi
Keyword(s):  
Particulate Matter ◽  
Particle Concentration ◽  
Gravimetric Method ◽  
Airborne Particulate Matter ◽  
High Concentration ◽  
Cross Sectional ◽  
Flour Dust ◽  
Average Size ◽  
High Level ◽  
Respirable Particulate

Introduction: High concentration of inhalable airborne particles can increase the risk of lung disease in exposed people. This study aimed to determine the respirable particulate matter (PM5) concentration in traditional bakeries of Saveh in 2020. Materials and Methods: This cross-sectional descriptive study was conducted among 25 bakeries where the samples were collected by cyclone and teflon filter equipped by air sampling pump. Later, the respirable particulate matter concentration was measured using gravimetric method. The collected PM5 was scanned using a FTIR (Fourier-transform infrared spectroscopy) with regard to flour dust. In addition, size and shape of the collected PM5 were analyzed using a scanning electron microscope (SEM). Results: Findings showed that the Lavash bakery had the highest PM5 concentration (9.15 mg/m3) in comparison with two other bakeries (Sangak and Barbari). However, an inverse relationship was observed between RH and particle concentration. In addition, the results demonstrated that increasing RH decreased the particle concentration, but the relationship was not significant (P = 0.052, Spearman's rho = -0.393). Furthermore, Lavash bakery had the lowest average size of PM5 (0.63 ± 0.32 μm). However, the FTIR scans confirmed that the flour dust had the predominant amount of PM5. Conclusion: Based on the findings, the density of respirable PM5 has a high level in Saveh bakeries and workers  are exposed to high levels of PM.

scholarly journals Comparison of multiple X-ray fluorescence techniques for elemental analysis of particulate matter collected on air filters

2018 ◽  
Vol 122 ◽  
pp. 1-10 ◽  
Author(s):  
Fabjola Bilo ◽  
Laura Borgese ◽  
Anne Wambui ◽  
Ahmad Assi ◽  
Annalisa Zacco ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Elemental Analysis ◽  
Air Filters ◽  
X Ray ◽  
Fluorescence Techniques

scholarly journals Assessment of Air Pollution Tolerance and Particulate Matter Accumulation of 11 Woody Plant Species

Atmosphere ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1067
Author(s):  
Huong-Thi Bui ◽  
Uuriintuya Odsuren ◽  
Kei-Jung Kwon ◽  
Sang-Yong Kim ◽  
Jong-Cheol Yang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Plant Species ◽  
Pinus Densiflora ◽  
Tolerance Index ◽  
High Concentration ◽  
Urban Green Spaces ◽  
Pollution Tolerance ◽  
Cornus Officinalis ◽  
Significant Difference

High concentration of particulate matter (PM) threatens public health and the environment. Increasing traffic in the city is one of the main factors for increased PM in the air. Urban green spaces play an important role in reducing PM. In this study, the leaf surface and in-wax PM (sPM and wPM) accumulation were compared for 11 plant species widely used for landscaping in South Korea. In addition, biochemical characteristics of leaves (ascorbic acid chlorophyll content, leaf pH, and relative water content) were analyzed to determine air pollution tolerance. Plant species suitable for air quality improvement were selected based on their air pollution tolerance index (APTI) and anticipated performance index (API). Results showed a significant difference according to the accumulation of sPM and wPM and the plant species. PM accumulation and APTI showed a positive correlation. Pinus strobus showed the highest PM accumulation and APTI values, while Cercis chinensis showed the lowest. In 11 plants, API was divided into five groups. Pinus densiflora was classified as the best group, while Cornus officinalis and Ligustrum obtusifolium were classified as not recommended.

ELEMENTAL ANALYSIS OF GROUND WATER USING PIXE AND PIGE TECHNIQUES

2012 ◽  
Vol 22 (03n04) ◽  
pp. 259-269 ◽  
Author(s):  
RAJBIR KAUR ◽  
A. KUMAR ◽  
B. P. MOHANTY ◽  
MUMTAZ OSWAL ◽  
NAVNEET KAUR ◽  
...  
Keyword(s):  
Trace Elements ◽  
Ground Water ◽  
Elemental Analysis ◽  
Water Samples ◽  
Gamma Ray ◽  
Elemental Content ◽  
Human Beings ◽  
X Ray ◽  
Gamma Ray Emission

Water is the most important source of minerals for both human beings and animals. But at the same time, water is also a source of disease due to the contamination of various elements. Therefore, knowledge of the elemental content of water is important. In this work, water samples were collected from areas around Chandigarh and Bathinda district, Panjab, India. Proton-induced X-ray emission (PIXE) and proton-induced gamma-ray emission (PIGE) techniques were used for the determination of heavy and light trace elements, respectively, in wide varieties of water samples. A large number of elements, namely F, Na, S, Cl, K, Ca, Ti, Cr, Mn, Fe, Cu, Zn, As, Pb , and U were detected in the samples and results are discussed.

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