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Forensic olfactronics and human scent signatures created from GC×GC-MS data (Stepan Urban, MDCW 2025)

We, 6.8.2025
| Original article from: The Multidimensional Chromatography (MDC) Workshop
Štěpán Urban’s research shows how GC×GC-MS deciphers human scent into digital signatures for forensic and medical uses—ranging from identity to disease detection.
Video placeholder
  • Photo: MDCW: Forensic olfactronics and human scent signatures
    created from GC×GC-MS data (Stepan Urban, MDCW 2025)
  • Video: LabRulez: Stepan Urban: Forensic olfactronics and human scent signatures created from GC×GC-MS data (MDCW 2025)

🎤 Presenter: Štěpán Urban (University of Chemistry and Technology in Prague, Prague, Czech Republic)

💾 PDF presentation

💡 Book in your calendar: 17th Multidimensional Chromatography Workshop (MDCW) 13 - 15. January 2026

Video transcription

Can human scent be used for personal identification, much like a fingerprint? Professor Štěpán Urban from the University of Chemistry and Technology in Prague answers this with a resounding yes. His pioneering work in forensic olfactronics explores how advanced analytical techniques like comprehensive two-dimensional gas chromatography (GC×GC-TOF-MS) can be used to decode the complex chemical profile of human scent, leading to accurate identification—even surpassing some capabilities of trained canines.

👃 The Science of Human Scent

Human scent is a volatile chemical mixture of tens of thousands of compounds, with recent research detecting over 60,000 unique molecules in a single sample using GC×GC‑TOF-MS. These molecules can be grouped into three categories:

  • Primary scent: Genetically determined and individual-specific, stable over time. Forms the basis for forensic identification.
  • Secondary scent: Varies based on lifestyle, diet, health, medication, and environment.
  • Tertiary scent: Comes from external sources like cosmetics, pets, and surroundings.

Digital Scent Signatures

With the ability to analyze scent at ultra-high resolution, the team created digital human scent signatures by selecting and comparing concentration ratios of primary compounds. These can be stored in a searchable database, allowing for comparison with unknown samples to confirm a person’s identity.

Real-World Applications

The research, initially sparked by a request from Czech police in 2013, has expanded into:

  • Individual identification via scent signatures
  • Class-based differentiation (e.g. male vs. female, blood types, ethnic origin)
  • Medical olfactronics, investigating how diseases like diabetes, Alzheimer’s, Parkinson’s, and cancer alter scent profiles through DNA-related changes

Key Insights from the Research

  • Scent is nearly impossible to hide—billions of molecules are emitted even from a single open palm every second.
  • GC×GC-TOF-MS offers sensitivity approaching trained dogs, but with the added benefit of creating searchable and reproducible datasets.
  • Applications range from criminal forensics to early diagnostics in medicine.

This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.

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