DOAJ Open Access 2022

Improving Minutiae Image of Latent Fingerprint Detection on Non-Porous Surface Materials under UV Light Using Sulfur Doped Carbon Quantum Dots from Magnolia Grandiflora Flower

David Nugroho Won-Chun Oh Saksit Chanthai Rachadaporn Benchawattananon

Abstrak

In this study, carbon quantum dots (CQDs) from Magnolia Grandiflora flower as a carbon precursor were obtained using a hydrothermal method under the optimized conditions affected by various heating times (14, 16, 18, and 20 min) and various electric power inputs (900–1400 W). Then, hydrogen sulfide (H<sub>2</sub>S) was added to dope the CQDs under the same manner. The aqueous solution of the S-CQDs were characterized by FTIR, XPS, EDX/SEM, and TEM, with nanoparticle size at around 4 nm. Then, the as-prepared S-CQDs were successfully applied with fine corn starch for detection of minutiae latent fingerprints on non-porous surface materials. It is demonstrated that the minutiae pattern is more clearly seen under commercial UV lamps with a bright blue fluorescence intensity. Therefore, this research has proved that the S-CQDs derived from plant material have a better potential as fluorescent probes for latent fingerprint detection.

Topik & Kata Kunci

Penulis (4)

D

David Nugroho

W

Won-Chun Oh

S

Saksit Chanthai

R

Rachadaporn Benchawattananon

Format Sitasi

Nugroho, D., Oh, W., Chanthai, S., Benchawattananon, R. (2022). Improving Minutiae Image of Latent Fingerprint Detection on Non-Porous Surface Materials under UV Light Using Sulfur Doped Carbon Quantum Dots from Magnolia Grandiflora Flower. https://doi.org/10.3390/nano12193277

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Informasi Jurnal
Tahun Terbit
2022
Sumber Database
DOAJ
DOI
10.3390/nano12193277
Akses
Open Access ✓