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Turkish Journal of Chemistry

Author ORCID Identifier

UĞUR KÖROĞLU: 0000-0003-1623-7259

NECDET SAĞLAM: 0000-0002-5463-8355

UĞUR TAMER: 0000-0001-9989-6123

RAMAZAN AKCAN: 0000-0002-4100-9488

İSMAİL BOYACI: 0000-0003-1333-060X

EYLÜL EVRAN: 0000-0002-6860-1019

DOI

10.55730/1300-0527.3687

Abstract

Analysis of substances and samples obtained from the crime scene are very important in solving forensic cases. In order to determine the variables involved in a crime and to expedite the investigation process, especially the rapid analysis of body fluids in a small quantity and within an environment containing diverse components is necessary. For this reason, it is of great importance to analyse biological fluids with rapid, non-chemical contamination, non-destructive, low-cost and accurate techniques. In recent years, with advancements in laser technology, spectroscopic methods have been introduced as an analytical technique in forensic medicine and chemical studies. This study focuses on Surface-Enhanced Raman Spectroscopy (SERS) to demonstrate the detection of blood samples in simulated crime scenes. To minimize the background signal from fluorescent biomolecules in blood, dilution was performed with two different components and Raman analysis was performed for four different concentrations of blood. In general, a decrease in noise in the spectra was observed as the blood was diluted. Crime scenes consisting of pure blood, blood diluted with ethanol and distilled water (1:2, 1:4, 1:8), blood-soda mixture, blood-cherry juice mixture and silver nanoparticle-added mixtures were simulated and their spectra were examined. Despite high noise and low peak intensities, blood-identifying signals were detected when examining different blood concentrations. It has been observed that silver nanoparticles provide high enhancement of blood peaks thanks to their strong plasmonic properties.

Keywords

analytical chemistry, biochemistry, bionanotechnology, forensic sciences, nanoparticle, Surface-enhanced Raman spectroscopy

First Page

676

Last Page

690

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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