Differentiation of Body Fluid Stains Using a Portable, Low-Cost Ion Mobility Spectrometry Device-A Pilot Study
Cameron Heaton1,2, Simon Clement1, Paul F Kelly2
1Foster + Freeman, Evesham WR11 1TD, UK.
Molecules (Basel, Switzerland)
|September 28, 2023
Summary
Forensic investigators can now rapidly identify human biofluids like blood and urine at crime scenes using a portable ion mobility spectrometry device. This technology offers instant, in situ analysis, bypassing traditional lab work and improving workflow efficiency.
Area of Science:
- Forensic Science
- Analytical Chemistry
- Biotechnology
Background:
- Crime scene investigation faces bottlenecks in identifying and recovering biofluid evidence.
- Current methods rely on presumptive tests and lab-based analysis, which are time-consuming and can be destructive.
Purpose of the Study:
- To develop and validate a portable ion mobility spectrometry device for in situ analysis of human biofluids.
- To demonstrate the device's capability in detecting, identifying, and discriminating common body fluids from interferences.
Main Methods:
- Utilized a small, portable ion mobility spectrometry device with a dual micro disc pump.
- Analyzed volatile organic compounds released by gentle heating of samples at ambient conditions.
- Employed unsupervised Principal Component Analysis (PCA) machine learning for sample categorization.
Main Results:
- The device successfully generated characteristic mobility spectra for biofluid samples.
- Blood and urine were accurately separated from three visually similar interferences.
- The unsupervised PCA model achieved no misclassified samples, demonstrating high discrimination.
Conclusions:
- The portable ion mobility spectrometry device offers a promising solution for rapid, in situ biofluid identification.
- This technology has the potential to streamline crime scene investigation workflows, reducing reliance on destructive presumptive tests.
- The device can provide instant identification, addressing the current bottlenecks in evidence detection, recovery, and analysis.
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