Date of Award

12-1-2021

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Chemistry

Content Description

1 online resource (xii, 85 pages) : color illustrations.

Dissertation/Thesis Chair

Jan Halamek

Committee Members

Igor Lednev, Jayanti Pande, Mehmet Yigit

Keywords

Bioaffinity, Enzymes, Forensics, Chemistry, Forensic, Biological assay, Body fluids, Forensic biology, Ultraviolet-visible action spectroscopy

Subject Categories

Chemistry

Abstract

In the field of forensic science, body fluids are a major contributor of evidence in investigations. However, body fluids are usually used only for their genetic content, overlooking its unique composition of proteins and low-molecular-weight compounds that often serve as biomarkers in clinical diagnostics. This investigation aimed to develop simple, effective, and economical models that can be used to identify different attributes of the originator. The focus of this research was to develop biocatalytic cascades that could analyze body fluids by using UV-Vis spectroscopy. These models could be implemented in forensic settings, as well as in biometric authentications. The central points were: I) Forensic determination of blood sample age using a bioaffinity-based assay, II) The simultaneous estimation of a blood spot’s time since deposition and age of its originator via a bioaffinity assay, and III) Continuous Tracking Utilizing Amino Acids in Skin Secretions for Active Multi-Factor Biometric Authentication for Cybersecurity. Genetic material analysis is usually the main use for body fluids in Forensic serology; due to the natural high volume of samples that are collected daily in the country, alternative analytical tools that can quickly assist in forensic investigations are a top priority in developments. Thus, in this research enzymatic activity was measured applying the flexibility of UV-Vis spectroscopy; taking advantage of the proteins properties found in body fluids, and the different enzymatic and amino acid levels of individuals.

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