Deakin University
Browse

These shoes were made for walking (in blood): DNA transfer and the impact of different subfloor types

thesis
posted on 2019-11-08, 00:00 authored by Angela Taylor
Recently there has been research conducted into different aspects of DNA transfer, however, there is still a lack of understanding on certain aspects of this discipline. This research was designed to answer the question if human DNA from blood or latent blood could be detected past visualisation with the naked eye and visualisation with chemiluminescence, and if DNA could be detected, how much further could it be detected?
In this study, five participants created shoeprints from human blood over three different subfloor types (concrete, carpet, or linoleum). Observations of these shoeprints with the naked eye and with chemiluminescence using a luminol solution were recorded. Samples were taken from different shoeprints where chemiluminescence was either visible or not visible and then analysed for the presence of DNA, observing the quantity and quality of samples.
These results showed that there was the possibility of getting DNA past the point at which blood could no longer be visualised at a quantity high enough to generate a DNA profile. This research also found that the type of subfloor effected the quality and quantity of DNA obtained, and that there was no effect observed between participants. This demonstrates to forensic investigators the fact that although blood may not be visible with common visualisation methods, it may still be possible to obtain forensically useful DNA from crime scenes.

History

Pagination

65 p.

Material type

thesis

Resource type

thesis

Language

eng

Degree type

Honours

Degree name

B.Forensic Science (Hons)

Copyright notice

All rights reserved

Editor/Contributor(s)

A Durdle

Faculty

Faculty of Science

School

Engineering and Built Environment

Usage metrics

    Theses

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC