Forensic potential of Atomic Force Microscopy
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| Publication date | 11-2016 |
| Journal | Forensic Chemistry |
| Volume | Issue number | 2 |
| Pages (from-to) | 93-104 |
| Number of pages | 12 |
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| Abstract |
An important aspect of any crime scene investigation is to detect,
secure and analyze trace evidence. Atomic force microscopy (AFM) is a
nanotechnology that can be used to generate forensic information. This
review aims to briefly explain principles of AFM and review potential
forensic applications like age determination of bloodstains, fingermark
examination, investigation of textile fibers,
document forgery detection, gunshot and explosive residues analysis,
and pressure sensitive adhesives investigation. Current techniques are
highlighted and the usefulness of AFM is discussed. For the examination
of gunshot, explosives and pressure sensitive adhesive residues AFM can
determine elastic moduli, adhesion forces, energy dissipation, and
dielectric properties of trace material, provide synoptic mapping of
these characteristics and identify compositions. Phase imaging and force
spectroscopy are important options but cannot unravel chemical
identities. Forensic relevance of force spectroscopy for red blood cell
age estimation is promising but remains to be fully explored. If not
affected by surface roughness AFM height imaging may yield complementary
information with respect to fingermark, textile and document
examinations. For overlapping, (partially) erased marks or mixtures of
biological traces phase imaging could provide composition information.
If the chemical identity of trace components is important AFM may be
combined with (surface/tip enhanced) Raman spectroscopy. Equipped with
high resolution optical microscopy AFM(-Raman) technology may become a
valuable forensic tool to characterize and understand trace transfer and
persistence and to assess condition and age of evidence material. AFM
could thus yield additional options for forensic association and assist
in forensic analysis at activity level.
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| Document type | Article |
| Note | In special issue: Technology Readiness Level 2 |
| Language | English |
| Published at | https://doi.org/10.1016/j.forc.2016.10.005 |
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