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Biosynthesis and Mapping of ZnO Nanoparticles Using Celery Leaf Extract as Latent Fingerprint Identification Sari*, Sri Adelila; Nabillah, Luthfi Qori; Putri Br. Siregar, Riri Virzan; Ramadhani, Tiara; Br. Sinulaki, Lesa Octavia; Marbun, Kristin Enjelika
Jurnal IPA & Pembelajaran IPA Vol 8, No 4 (2024): DECEMBER 2024
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jipi.v8i4.40901

Abstract

Latent fingerprint identification is an important aspect in forensic science that helps in revealing criminals. Latent fingerprint visualization methods continue to develop to improve their effectiveness and safety. This study aims to synthesize and map ZnO nanoparticles using celery leaf extract (Apium graveolens L.) and test its effectiveness in latent fingerprint identification. Celery leaf extract is used as a reducing agent and stabilizer in the biosynthesis of ZnO nanoparticles. Characterization of ZnO nanoparticles was carried out using FTIR and SEM-EDS. The characterization results showed that ZnO nanoparticles have a good crystal structure and uniform particle size. Application testing on porous and non-porous surfaces showed that ZnO nanoparticles were able to significantly increase the visibility of latent fingerprints compared to conventional methods. On non-porous surfaces, fingerprint visualization showed clearer results compared to porous surfaces. Thus, this study provides an environmentally friendly and effective solution for latent fingerprint identification in forensic applications, as well as expanding the potential use of natural materials in nanoparticle biosynthesis
Biosynthesis and Characterization of ZnO Nanoparticles with Beet Extract (Beta vulgaris L.) as Latent Fingerprint Identification Sari, Sri Adelila; Siregar, Riri Virzan Putri Br.; Nabillah, Luthfi Qori; Hasibuan, Hanisah; Mahat, Naji Arafat
JKPK (Jurnal Kimia dan Pendidikan Kimia) Vol 9, No 3 (2024): JKPK (Jurnal Kimia dan Pendidikan Kimia)
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jkpk.v9i3.91700

Abstract

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.