Utilization of Luminescent Carbon Nanodots from Soybean Husk Wastes for Fingerprint Identification using Tracker Software Spectrum Analysis
Visible fingerprints (FPs) play a crucial role in forensic identification, and luminescent carbon nanodots (C-Dots) have shown promise in enhancing their visibility. However, the optimal concentration of C-Dots for effective coating remains largely unexplored. This research aimed to determine the id...
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| Format: | Article |
| Language: | Indonesian |
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Universitas Tanjungpura
2023-05-01
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| Series: | Positron |
| Subjects: | |
| Online Access: | https://jurnal.untan.ac.id/index.php/jpositron/article/view/57863 |
| _version_ | 1797782081552515072 |
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| author | Wipsar Sunu Brams Dwandaru Abdul Rosyid Hidayatullah Eka Sentia Ayu Listari Deby Grace SL |
| author_facet | Wipsar Sunu Brams Dwandaru Abdul Rosyid Hidayatullah Eka Sentia Ayu Listari Deby Grace SL |
| author_sort | Wipsar Sunu Brams Dwandaru |
| collection | DOAJ |
| description | Visible fingerprints (FPs) play a crucial role in forensic identification, and luminescent carbon nanodots (C-Dots) have shown promise in enhancing their visibility. However, the optimal concentration of C-Dots for effective coating remains largely unexplored. This research aimed to determine the ideal C-Dots concentration for FPs identification. The fingerprint (FP) patterns of two subjects, L and P, were analyzed, revealing intensity peaks in 200 mm - 250 mm and 100 mm - 150 mm, respectively. The FP patterns were observed using a light microscope and Tracker software spectral analysis. The C-Dots samples were produced with variation in concentrations of (%W/V) 40%, 43.4%, and 47.6%. The spectrophotometer ultraviolet-visible (UV-Vis) test of the C-Dots showed absorption peaks at 270 nm and 330 nm wavelengths. The photoluminescence test indicated that the C-Dots have cyan luminescence. The X-ray diffraction (XRD) test showed that the C-Dots were amorphous. The spectrometer Fourier transform infrared (FTIR) test showed the presence of C = C functional groups. The scanning electron microscope (SEM) images with 5000x magnification showed the surface morphology of the C-Dots mimicking crumpled papers. Using Tracker software, FPs were successfully differentiated, with the clearest visual FPs observed when using a C-Dots concentration of 43.4%. Thus, the optimal concentration of C-Dots for FP identification was 43.4%. |
| first_indexed | 2024-03-13T00:06:01Z |
| format | Article |
| id | doaj.art-a0e80149e6274400b4f092ae7d65674a |
| institution | Directory Open Access Journal |
| issn | 2301-4970 2549-936X |
| language | Indonesian |
| last_indexed | 2024-03-13T00:06:01Z |
| publishDate | 2023-05-01 |
| publisher | Universitas Tanjungpura |
| record_format | Article |
| series | Positron |
| spelling | doaj.art-a0e80149e6274400b4f092ae7d65674a2023-07-13T03:24:27ZindUniversitas TanjungpuraPositron2301-49702549-936X2023-05-01131415010.26418/positron.v13i1.5786339747Utilization of Luminescent Carbon Nanodots from Soybean Husk Wastes for Fingerprint Identification using Tracker Software Spectrum AnalysisWipsar Sunu Brams Dwandaru0Abdul Rosyid HidayatullahEka Sentia Ayu ListariDeby Grace SLProgram Studi Pendidikan Fisika, Universitas Negeri YogyakartaVisible fingerprints (FPs) play a crucial role in forensic identification, and luminescent carbon nanodots (C-Dots) have shown promise in enhancing their visibility. However, the optimal concentration of C-Dots for effective coating remains largely unexplored. This research aimed to determine the ideal C-Dots concentration for FPs identification. The fingerprint (FP) patterns of two subjects, L and P, were analyzed, revealing intensity peaks in 200 mm - 250 mm and 100 mm - 150 mm, respectively. The FP patterns were observed using a light microscope and Tracker software spectral analysis. The C-Dots samples were produced with variation in concentrations of (%W/V) 40%, 43.4%, and 47.6%. The spectrophotometer ultraviolet-visible (UV-Vis) test of the C-Dots showed absorption peaks at 270 nm and 330 nm wavelengths. The photoluminescence test indicated that the C-Dots have cyan luminescence. The X-ray diffraction (XRD) test showed that the C-Dots were amorphous. The spectrometer Fourier transform infrared (FTIR) test showed the presence of C = C functional groups. The scanning electron microscope (SEM) images with 5000x magnification showed the surface morphology of the C-Dots mimicking crumpled papers. Using Tracker software, FPs were successfully differentiated, with the clearest visual FPs observed when using a C-Dots concentration of 43.4%. Thus, the optimal concentration of C-Dots for FP identification was 43.4%.https://jurnal.untan.ac.id/index.php/jpositron/article/view/57863c-dots, fingerprint, soybean husk wastes, tracker software |
| spellingShingle | Wipsar Sunu Brams Dwandaru Abdul Rosyid Hidayatullah Eka Sentia Ayu Listari Deby Grace SL Utilization of Luminescent Carbon Nanodots from Soybean Husk Wastes for Fingerprint Identification using Tracker Software Spectrum Analysis Positron c-dots, fingerprint, soybean husk wastes, tracker software |
| title | Utilization of Luminescent Carbon Nanodots from Soybean Husk Wastes for Fingerprint Identification using Tracker Software Spectrum Analysis |
| title_full | Utilization of Luminescent Carbon Nanodots from Soybean Husk Wastes for Fingerprint Identification using Tracker Software Spectrum Analysis |
| title_fullStr | Utilization of Luminescent Carbon Nanodots from Soybean Husk Wastes for Fingerprint Identification using Tracker Software Spectrum Analysis |
| title_full_unstemmed | Utilization of Luminescent Carbon Nanodots from Soybean Husk Wastes for Fingerprint Identification using Tracker Software Spectrum Analysis |
| title_short | Utilization of Luminescent Carbon Nanodots from Soybean Husk Wastes for Fingerprint Identification using Tracker Software Spectrum Analysis |
| title_sort | utilization of luminescent carbon nanodots from soybean husk wastes for fingerprint identification using tracker software spectrum analysis |
| topic | c-dots, fingerprint, soybean husk wastes, tracker software |
| url | https://jurnal.untan.ac.id/index.php/jpositron/article/view/57863 |
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