A new study presents a novel WDXRF approach in determining carbon, oxygen, hydrogen, and nitrogen content in coal.
In a recent study published in Spectrochimica Acta Part B: Atomic Spectroscopy, a novel X-ray fluorescence (XRF) method was combined with partial least squares (PLS) regression to determine light element content in coal. Carbon, oxygen, hydrogen, and nitrogen were studied. The researchers executing the study collected information that could be utilized by researchers to improve semi-quantitative methods of XRF based on fundamental parameters (FP) (1).
XRF analysis has been regularly used in coal analysis. However, the technique alone does have specific limitations. For example, traditional XRF analysis has limitations in quantifying specific light elements (1). To overcome the limitations of traditional XRF analysis, the researchers presented a way to improve on the technique by using wavelength dispersive XRF (WDXRF) scattering spectra to quantify carbon, oxygen, hydrogen, and nitrogen in coal samples (1).
The research team prepared a set of 25 coal samples for analysis. These samples underwent precise grinding, drying, and weighing, followed by compression into reusable steel rings (1). The spectra of coherent and incoherent scattering of the primary X-Ray radiation were then analyzed, revealing hidden differences that were previously unexploited for quantification of these crucial elements (1).
By utilizing PLS regression, the team createdcalibration curves for the concentrations of carbon, oxygen, hydrogen, and nitrogen in coal samples (1). Only WDXRF was needed to determine these elemental concentrations, and researchers did not need to employ special crystal analyzers (1). The researchers also discovered that the quantification of hydrogen can be done indirectly through scattering, despite it not having the characteristic spectral lines (1).
The results of this study enhance the semi-quantitative techniques of XRF based on fundamental parameters. This holds promise for improving coal quality assessment, as well as aiding in a better understanding of coal composition and its environmental implications.
This research determined that the differences in scattering spectra carry information about the concentration of light elements. They also concluded that the PLS model improves FP analysis for coal samples with high light element content.
(1) Sverchkov, I. P.; Matveeva, V. A.; Chukaeva, M. A. Determination of carbon, oxygen, hydrogen and nitrogen content in coals using WDXRF scattering spectra. Spectrochimica Acta Part B: At. Spectrosc. 2023, 207, 106738. DOI: 10.1016/j.sab.2023.106738
University of Pennsylvania Graduate Researcher Wins SPIE Medical Imaging Student Paper Award
March 14th 2024A PhD student in the Department of Bioengineering at the University of Pennsylvania has won the 2024 Physics of Medical Imaging Student Paper Award, which is given out annually by the International Society for Optics and Photonics (SPIE), at the Medical Imaging Symposium in San Diego, California.
Advancements in Non-Invasive Analysis of Historical Metal Artifacts
December 19th 2023Studying historical ancient artifacts requires the use of a nondestructive technique to analyze the metal surfaces of these objects. This study presents two approaches that improves on existing methods when conducting alloy analysis.
Unraveling Polyester Fibers with Advanced X-Ray Techniques
December 5th 2023Researchers at Kochi University and RIKEN have unveiled a new method for distinguishing individual polyester fibers in forensic investigations. Published in Spectrochimica Acta Part B: Atomic Spectroscopy, their advanced X-ray analysis refreshes how we unravel the composition of these fibers.