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Mass Analyzers: Common Types01:19

Mass Analyzers: Common Types

The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...
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Atomic Emission Spectroscopy: Overview

Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
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Scanning Electron Microscopy

A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
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Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles
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Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles

Published on: July 5, 2016

A model for multi-energy x-ray analysis.

S M Midgley1

  • 1School of Physics, Monash University, Clayton, VIC 3080, Australia. stewart.midgley@mh.org.au

Physics in Medicine and Biology
|April 15, 2011
PubMed
Summary

Multi-energy x-ray analysis (MEXA) advances material characterization by refining how linear attenuation coefficients are modeled. New correlations enable accurate density and composition determination using electron density N(e) and compositional ratio R(4).

Area of Science:

  • Medical Physics
  • Materials Science
  • Radiological Imaging

Background:

  • Multi-energy x-ray analysis (MEXA) relies on accurate modeling of the x-ray linear attenuation coefficient (μ) across various photon energies.
  • Existing models characterize materials using statistical moments of atomic number distribution, re-expressed as electron density N(e) and compositional ratios R(k).
  • Previous MEXA applications successfully estimated N(e) and R(4) but not intermediate compositional ratios.

Purpose of the Study:

  • To investigate relationships between compositional ratios for tissues and tissue substitute materials.
  • To develop a new parameterization for μ based on identified correlations.
  • To explore the interpretation of N(e) and R(4) parameters in terms of basis materials.

Main Methods:

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  • Analysis of linear attenuation coefficients (μ) at different photon energies.
  • Development of a novel parameterization relating compositional ratios.
  • Mathematical modeling of material properties using electron density N(e) and compositional ratio R(4).

Main Results:

  • Identified significant correlations between compositional ratios for various materials.
  • Introduced a new parameterization for μ as a nonlinear function of N(e), R(4), and additional coefficients.
  • Demonstrated that MEXA can fully solve for material composition in the special case of two basis materials.

Conclusions:

  • The refined parameterization enhances the accuracy of density and composition determination using MEXA.
  • The study provides a deeper understanding of material characterization through electron density and compositional ratios.
  • The findings facilitate more precise analysis in applications involving X-ray imaging and material science.