Synthesis, characterization and fingerprint identification enhancement by deep learning for azo dye derived from amino pyridine and caffeine and its palladium complex
Year: 2025
Type: article
Abstract: Novel azo ligand namely (E)-1,3,7-trimethyl-8-(pyridin-3-yldiazenyl)-3,7-dihydro-1H-purine-2,6-dione (MPPD) derived from 3-aminopyridine and caffeine and its palladium complex were synthesized and characterized by different techniques such as 1H-NMR, infrared, UV-Vis spectroscopies and elemental analysis. The infrared spectra indicated that the ligand is bidentate. 1H-NMR spectra showed the ligand structure and the symmetrical nature of the ligands bound to the palladium ion in the complex. UV-Vis spectra suggested a square planer environment for the complex of palladium and the molar conductivity indicated an ionic nature equal to 1:2 for the palladium(II) complex. The synthesized compounds showed high ability and efficacy to determine the latent fingerprint and deep learning technique enhanced the images of latent fingerprint. KEY WORDS: Fingerprint, Palladium, Azo, Caffeine, Green chemistry, Deep learning Bull. Chem. Soc. Ethiop. 2025, 39(11), 2173-2184. DOI: https://dx.doi.org/10.4314/bcse.v39i11.7
Language: English
Subfield: Pathology and Forensic Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4415570937