WELCOME TO THE X-RAY FLUORESCENCE MICROSCOPE SIMULATION

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XRF Control Panel

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Simulation is fine, but what to do after the process has stopped? How is the chemical composition determined from this outcome?

Instrumentation parameters

  • X-axis: 2-theta (degree): The diffraction angle of the analyzing crystal
  • Y-axis: Intensity (kcps): kilo-counts per second
  • Crystal used: LiF1 (Lithium Fluoride): standard crystal for medium-to-heavy elements

In XRF, each element's fluorescent X-rays are diffracted at a specific 2-theta angle by the analyzing crystal (Bragg's Law), separating them physically before detection.

Step 1: Apply Bragg's Law to Understand Peak Positions

nλ = 2θ

Parameter Value for LiF1
Crystal LiF1
D-spacing (2d for 200) 4.028 Å
Detectable range (2-theta) ~15° to 90°

Each peak position (2-theta) corresponds to a unique wavelength corresponding to unique element

Step 2: From the spectrum, label all unique peaks

In given example the following peaks are clearly labeled:

2-Theta Peak Label Element
~15–16°Rh-KA-Compton, Rh-KB-ComptonRhodium
~22°Zr-KA, Sr-KB1Zirconium, Strontium
~25°Sr-KAStrontium
~51°Fe-KB1Iron
~57°Fe-KAIron
~58°Mn-KB1Manganese
~62–63°Mn-KA, Cr-KB1Manganese, Chromium
~69°Cr-KAChromium
~76°Ti-KB1Titanium
~85°Ti-KATitanium

Step 3: Remove the instrument artifact peaks (NOT from sample)

Peak Reason to Exclude
Rh-KB1 From the Rhodium X-ray tube anode
Rh-KA-Compton / Rh-KB-Compton Compton scattering of Rh tube radiation off sample

Step 4: The quantification of elements

The relative peak intensity of elements determined in step 3 provide the amount of respective elements present in the sample.

In given example the following intensity of peaks observed

Element Peak Intensity
(kcps)
Relative Abundance
Fe~1050 kcpsMajor element
Mn~200 kcpsMinor element
Cr~300 kcpsMinor element
Ti~100 kcpsTrace/minor
Zr, Sr<100 kcpsTrace elements

There are four samples: metal, alloy, ceramic, polymer and composite – the plot is the same for all four? Also, it would be nice for the users to know the composition of the sample rather than pattern only.

The elemental composition of the sample (metal, alloy, ceramic and composite) can be determined as discussed above from step 1 to 4.

  • For pure Metals, XRF provides the single-element dominant spectrum
  • Alloys show multi-element spectra in characteristic ratios.
  • Ceramics are identified by their metal oxide signatures
    e.g.
    Alumina (Al2O3) → strong Al signal
    Zirconia (ZrO2) → strong Zr signal

    However, XRF cannot directly detect oxygen, so structural/bonding information is inferred, not directly measured.
  • For polymers, XRF provides weakest signal as polymers are composed mainly of C, H, O, N, light elements that XRF struggles to detect reliably