Amino acid profiling from fingerprints, a novel methodology using UPLC-MS

Amino acid profiling from fingerprints, a novel methodology using UPLC-MS

Van Helmond, Ward (Hogeschool van Amsterdam; Netherlands Forensic Institute - NFI)
Kuijpers, Chris Jan (Netherlands Forensic Institute - NFI)
Van Diejen, Elise (Netherlands Forensic Institute - NFI)
Spiering, Jincey (Netherlands Forensic Institute - NFI)
Maagdelijn, Brent (Netherlands Forensic Institute - NFI)
de Puit, M. (TU Delft OLD ChemE/Organic Materials and Interfaces; Netherlands Forensic Institute - NFI)

2017-10-14

Fingermark evidence is extensively used in criminal investigations. Hence, there have been many investigations into the chemical compounds present in fingerprint deposits. In this technical note we describe the analysis of non-derivatised amino acid profiles obtained from fingerprints. We used UPLC with an amide stationary phase and subsequent detection using a triple quadrupole MS/MS and TOF-MS detector. The linearity (R²) was satisfactory for both MS detectors (>0.98 for all amino acids in the case of the triple quadrupole MS/MS and >0.96 in the case of the TOF-MS). Although the triple quadrupole had a higher sensitivity for most amino acids, both mass spectrometers were able to retrieve the amino acid profiles of fingerprints from 19 donors. Between these profiles, only minor differences were observed between the separate analyses on the different mass analyzers, mainly in l-proline, l-lysine and l-phenylalanine abundances. Surprisingly, the mean RSD in amino acid profiles from duplicate fingerprints turned out to be lower for the TOF-MS (18.6% ± 6.6% vs. 13.2% ± 3.8%), as did the mean RSD of the intraday reproducibility (8.22% ± 1.94% vs. 9.54% ± 3.07%).

http://resolver.tudelft.nl/uuid:07404946-1ecd-4d88-927b-a644e2c8b7b1

https://doi.org/10.1039/c7ay01603d

1759-9660

Analytical Methods, 9 (38), 5697-5702

Institutional Repository

journal article

© 2017 Ward Van Helmond, Chris Jan Kuijpers, Elise Van Diejen, Jincey Spiering, Brent Maagdelijn, M. de Puit