Veterinarska stanica, Vol. 50 No. 4, 2019.
Izvorni znanstveni članak
Visualization of latent fingerprints on the surface of quail eggshells
Ivana Stolić
; Faculty of Veterinary Medicine University of Zagreb, Croatia
Matea Jurak
; Pliva Hrvatska d.o.o., Zagreb, Croatia
Megi Kujundžić
; Master of Law, Forensic Science Center “Ivan Vučetić”, Zagreb, Croatia
Maja Popović
; Faculty of Veterinary Medicine University of Zagreb, Croatia
Gordan Mršić
; Master of Law, Forensic Science Center “Ivan Vučetić”, Zagreb, Croatia
Boris Pirkić
; Faculty of Veterinary Medicine University of Zagreb, Croatia
Mirjana Marijana Kardum Paro
; Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Merkur, Zagreb, Croatia
Ksenija Vlahović
; Faculty of Veterinary Medicine University of Zagreb, Croatia
Alenka Čretnik
; Master of Law, Forensic Science Center “Ivan Vučetić”, Zagreb, Croatia
Ana Shek Vugrovečki
; Faculty of Veterinary Medicine University of Zagreb, Croatia
Daniel Špoljarić
; Faculty of Veterinary Medicine University of Zagreb, Croatia
Sažetak
The paper presents the influence of quail eggshell morphology and pigmentation on the visualization of latent fingerprints. Electron microscopy showed that quail eggshells have a smooth surface, allowing for good fingerprint deposition. Techniques used for identification of latent fingerprints were black magnetic powder, cyanoacrylate fuming method, and ninhydrin method. Among these, the best visualization was obtained with black magnetic powder. This technique allows fast, cheap and good quality visualization of fingerprints and easy donor identification. The cyanoacrylate fuming method proved to be the least effective method, and as such is not recommended for use on quail eggs. The pink prints obtained by the ninhydrin method were poorly noticeable on the pigmented surface of quail eggs, though the good print quality allowed for unambiguous donor identification.
Ključne riječi
eggshell; identification; latent fingerprint; quail
Hrčak ID:
223839
URI
Datum izdavanja:
28.7.2019.
Posjeta: 2.457 *