Biosynthesis and Characterization of ZnO Nanoparticles with Beet Extract (Beta vulgaris L.) as Latent Fingerprint Identification

<p>The uniqueness and permanence of patterns make fingerprints one of the most significant forensic tools for individual identification. The issue is that conventional fingerprint powders, frequently used today, pose serious health and environmental risks due to their use of toxic chemicals. This novel study utilizes sustainable and innovative techniques to investigate the effectiveness of beetroot fruit extract for latent fingerprint visualization. Zinc oxide (ZnO) nanopowders were synthesized using a green synthesis method, having beet fruit extract as an aqueous solvent. For applications on porous and non-porous surfaces, the fabricated ZnO was characterized using Fourier Transform Infrared (FT-IR) spectroscopy, Scanning Electron Microscopy (SEM), and Energy Dispersive X-ray (EDX) analysis up to October 2023. Thirty samples were provided to perform latent fingerprint analysis. The results show that ZnO nanopowders synthesized using beet fruit extract could provide safe, non-destructive, and efficient visualization of the latent fingerprints. Of the six fingerprint patterns examined, the most common was the Plain Whorls pattern, which represented 47% of prints identified. These results highlight beet fruit extract's natural potential and efficacy as a contrast agent for imaging latent fingerprints. This clean approach can provide a novel alternative for forensic biology, characterized by low toxicity, sustainability, and high efficacy, which can lead to a safe forensic practice.</p>

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Publication Details

Journal
JKPK (Jurnal Kimia dan Pendidikan Kimia)
Published
2024-12-31
DOI
https://doi.org/10.20961/jkpk.v9i3.91700
Primary Topic
Forensic Fingerprint Detection Methods
Type
article
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article

Biosynthesis and Characterization of ZnO Nanoparticles with Beet Extract (Beta vulgaris L.) as Latent Fingerprint Identification

Naji Arafat Mahat, Sri Adelila Sari, Rosliana Siregar, Hanisah Hasibuan et al.
JKPK (Jurnal Kimia dan Pendidikan Kimia)
Forensic Fingerprint Detection Methods
article

Biosynthesis and Characterization of ZnO Nanoparticles with Beet Extract (Beta vulgaris L.) as Latent Fingerprint Identification

Naji Arafat Mahat, Sri Adelila Sari, Rosliana Siregar, Hanisah Hasibuan, Luthfi Qori Nabillah
article en

Abstract

<p>The uniqueness and permanence of patterns make fingerprints one of the most significant forensic tools for individual identification. The issue is that conventional fingerprint powders, frequently used today, pose serious health and environmental risks due to their use of toxic chemicals. This novel study utilizes sustainable and innovative techniques to investigate the effectiveness of beetroot fruit extract for latent fingerprint visualization. Zinc oxide (ZnO) nanopowders were synthesized using a green synthesis method, having beet fruit extract as an aqueous solvent. For applications on porous and non-porous surfaces, the fabricated ZnO was characterized using Fourier Transform Infrared (FT-IR) spectroscopy, Scanning Electron Microscopy (SEM), and Energy Dispersive X-ray (EDX) analysis up to October 2023. Thirty samples were provided to perform latent fingerprint analysis. The results show that ZnO nanopowders synthesized using beet fruit extract could provide safe, non-destructive, and efficient visualization of the latent fingerprints. Of the six fingerprint patterns examined, the most common was the Plain Whorls pattern, which represented 47% of prints identified. These results highlight beet fruit extract's natural potential and efficacy as a contrast agent for imaging latent fingerprints. This clean approach can provide a novel alternative for forensic biology, characterized by low toxicity, sustainability, and high efficacy, which can lead to a safe forensic practice.</p>

JKPK (Jurnal Kimia dan Pendidikan Kimia)Vol. 9(3)
Openalex Percentile: Top 66%
Forensic Fingerprint Detection Methods
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