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Updated: Feb 19, 2026

Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples
Published on: June 19, 2018
Large area imaging of forensic evidence with MA-XRF
Kirsten Langstraat1, Alwin Knijnenberg1, Gerda Edelman1
1Netherlands Forensic Institute, P.O. Box 24044, 2490 AA, The Hague, The Netherlands.
Macroscopic X-ray fluorescence (MA-XRF) effectively detects and images forensic traces like biological stains and gunshot residues on large surfaces. This non-invasive technique offers new chemical contrast for challenging evidence, aiding in detailed incident reconstruction.
Area of Science:
- Forensic Science
- Analytical Chemistry
- Materials Science
Background:
- Conventional forensic techniques struggle with large or challenging evidence items.
- Elemental analysis is crucial for identifying and classifying forensic traces.
- Need for non-invasive methods with enhanced sensitivity and selectivity.
Purpose of the Study:
- Introduce macroscopic X-ray fluorescence (MA-XRF) for forensic trace analysis.
- Demonstrate MA-XRF's capability in detecting biological stains and gunshot residues (GSR).
- Explore MA-XRF for detailed forensic incident reconstruction.
Main Methods:
- Utilized macroscopic X-ray fluorescence (MA-XRF) for elemental signature analysis.
- Applied MA-XRF to large object areas like clothing and wall paneling.
- Employed high-resolution MA-XRF for detailed imaging and classification.
Main Results:
- MA-XRF detected human biological traces (blood, semen, saliva, sweat, urine) using elemental signatures (Fe, Zn, K, Cl, Ca).
- Successfully imaged and classified gunshot residues (GSR) with elemental mapping (Pb, Ba, Sr, K, Cl).
- Demonstrated non-invasive detection of bullet impact signatures through multiple layers.
Conclusions:
- MA-XRF provides a valuable chemical contrast for forensic trace detection on challenging evidence.
- MA-XRF enables detailed shooting incident reconstruction, including angle and ammunition type.
- MA-XRF is a powerful, non-invasive tool for forensic analysis of large items and layered evidence.
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