Harmonization of Uncertainties of X-Ray Fluorescence Data for PM2.5 Air Filter Analysis

2010 ◽  
Vol 60 (2) ◽  
pp. 184-194 ◽  
Author(s):  
William Gutknecht ◽  
James Flanagan ◽  
Andrea McWilliams ◽  
R.K.M. Jayanty ◽  
Robert Kellogg ◽  
...  
Keyword(s):  
Air Filter ◽  
X Ray ◽  
Filter Analysis

scholarly journals Evaluation of uncertainties measurement in EDXRF for air filter analysis

2021 ◽  
Vol 1011 ◽  
pp. 012058
Author(s):  
D K Sari ◽  
D D Lestiani ◽  
S Kurniawati ◽  
D P D Atmodjo ◽  
I Kusmartini
Keyword(s):  
Air Filter ◽  
Filter Analysis

CHARACTERISTICS OF AEROSOLS IN BEIJING-TIANJIN AREA OF CHINA BY PIXE AND INAA AND IDENTIFICATION OF THEIR SOURCES BY CEB

1992 ◽  
Vol 02 (04) ◽  
pp. 593-601 ◽  
Author(s):  
Sha Yin ◽  
Liu Pingsheng ◽  
Hu Zhaohui ◽  
Zhong Ming ◽  
Yang Shaojin ◽  
...  
Keyword(s):  
Coal Combustion ◽  
Fine Particles ◽  
Motor Vehicle ◽  
Chemical Elements ◽  
Sea Salt ◽  
Soil Dust ◽  
Air Filter ◽  
X Ray ◽  
Sea Salt Aerosol ◽  
Limestone Dust

Proton Induced X-ray Emission (PIXE) and Instrumental Neutron Activation Analysis (INAA) techniques were used to measure the contents of 45 elements in 150 air-filter samples collected by cascade impactor with 8 stages at 10 sites in Beijing-Tianjin area of China during the periods of the winter of 1983 and the summer of 1984. It was noticed that the toxic elements such as As, Sb, Se, Pb, Hg, Cu and Ni were mainly enriched in fine particles with diameter less than 2 um. The major seven sources of coal burning, soil dust, oi1 burning, sea-salt aerosol, motor vehicle emission, limestone dust and industrial refuse attributing to the pollution in Tianjin area were identified by Chemical Elements Balance method (CEB). Among them the most important sources were the soil dust and the emission from coal-combustion followed by contributions from limestone and industrial refuse.

X-Ray Energy Analysis of Particulate Matter on Filter Paper

1972 ◽  
Vol 16 ◽  
pp. 134-145
Author(s):  
Warren G. Wood ◽  
James M. Mathiesen ◽  
John S. Mgebroff
Keyword(s):  
Air Pollution ◽  
Qualitative Data ◽  
Energy Analysis ◽  
Air Filter ◽  
Sample Handling ◽  
X Ray ◽  
Large Numbers ◽  
Complex Sample ◽  
Filter Type ◽  
Set Up

AbstractThe rapid, quantitative and qualitative analysis of particulates on air filter samples is becoming increasingly important as more air pollution sampling stations are set up throughout the countiy. Although atomic absorption provides a sensitive technique for the analysis of many elements, the disadvantages of complex sample preparation, sample destruction and the necessity to analyze one element at a time make this technique unsuitable for a large volume of samples. X-ray energy spectroscopy when combined with automated sample handling and the latest dedicated data reduction systems provides a technique which enables the analyst to process large numbers of samples and obtain precise quantitative and qualitative data rapidly. This paper will describe the preparation and analysis of typical air filter type samples, and the steps taken to identify the elements in the samples and obtain computerized reduction of the data in μg/cm2, ppm or percent.

Microanalytical Techniques for the Determination of Carbonaceous Aerosols in Remote Air and Snow Samples

1999 ◽  
Vol 5 (S2) ◽  
pp. 922-923
Author(s):  
D. Kessler ◽  
A. Currie ◽  
E. Newbury ◽  
E.S. Windsor
Keyword(s):  
Atmospheric Aerosols ◽  
Ice Core ◽  
Particle Removal ◽  
Carbonaceous Aerosols ◽  
Air Filter ◽  
Carbonaceous Particles ◽  
X Ray ◽  
Elemental Data ◽  
Combustion Processes

Remote ice core, snow, and air filter samples can potentially profile past and present atmospheric characteristics, acting as media to preserve populations of particulate matter. Major constituents of these aerosols derive from combustion processes (fossil and biomass) and airborne minerals. Extraction and characterization of these particles with scanning electron microscopy (SEM) and energy-dispersive x-ray spectroscopy (EDS) provide morphological and elemental data used in determining the presence and sources of atmospheric aerosols. Due to the minute quantity of carbonaceous particles in the snow and ice samples, ca. 1-10 ng g-1, the microscopist faces several principal challenges to prepare and analyze these samples. First, methodology must be established for particle removal in a clean and quantitative fashion. Secondly, since carbon is contained in many of the particles under analysis, techniques must be established to achieve quantitative carbon X-ray data. The SEM requires optimization in order to analyze the greatest number of particles in the least time.

A comparison of X-ray fluorescence and wet chemical analysis of air filter samples from a scrap lead smelting operation

2004 ◽  
Vol 6 (10) ◽  
pp. 819 ◽  
Author(s):  
Martin Harper ◽  
Timothy S. Hallmark ◽  
Michael E. Andrew ◽  
Aaron J. Bird
Keyword(s):  
Chemical Analysis ◽  
Air Filter ◽  
X Ray ◽  
Smelting Operation ◽  
Lead Smelting ◽  
Wet Chemical

Aerosol filter analysis using polarized optics EDXRF with thin-film FP method

2014 ◽  
Vol 29 (2) ◽  
pp. 137-140 ◽  
Author(s):  
Takao Moriyama ◽  
Atsushi Morikawa ◽  
Makoto Doi ◽  
Scott Fess
Keyword(s):  
Thin Film ◽  
Atmospheric Aerosol ◽  
Fundamental Parameter ◽  
Analysis Method ◽  
Standard Samples ◽  
Accurate Analysis ◽  
X Ray ◽  
Profile Fitting ◽  
Aerosol Filter ◽  
Filter Analysis

Interest in atmospheric aerosol issues has been increasing worldwide. X-ray fluorescence (XRF) is an important atmospheric aerosol monitoring tool for inorganic component analysis, because XRF is a rapid and easy analysis method. In particular, Energy dispersive X-ray fluorescence (EDXRF) has drawn attention for aerosol analysis. However, EDXRF has difficulties that: (1) many overlapping peaks exist for aerosol filter analysis and (2) many thin-film standard samples are required when an empirical calibration method is employed. Accurate analysis method of aerosol filter samples without the need for large sets of standards by semi-quantitative analysis software RPF–SQX (Rigaku profile fitting–spectra quant X), which includes the exact profile fitting and thin-film fundamental parameter (FP) method, is described using the EDXRF spectrometer equipped with secondary targets and polarized optics.

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