4.7 Article

Orange-Red Emitting Sr9Al6O18:Pr3+ Nanophosphors for Advanced Latent Fingerprints and Security Ink

Journal

ACS APPLIED NANO MATERIALS
Volume 6, Issue 22, Pages 21322-21339

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsanm.3c04699

Keywords

latent fingerprint detection; anticounterfeiting; color purity; combustion route method; light-emittingdiodes

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This study presents the synthesis and application of orange-red emitting Sr9Al6O18:Pr3+ nanophosphors, highlighting their potential in advanced forensic science and data security.
This study presents the synthesis of orange-red emitting Sr9Al6O18:Pr3+ nanophosphors (SAO:Pr3+ NPs) through the solution combustion process. Photoluminescence (PL) spectra revealed concentration quenching at 5 mol % with a critical distance of R-C = 21.5 & Aring;, indicating that electric multipolar interactions are responsible for the nonradiative energy transfer in the SAO lattice. Dexter's theory confirmed the quadruple-quadruple interaction as the mechanism behind the quenching. The optimized SAO:5Pr(3+) NPs exhibited exceptional properties, including high color purity (CP = 94.2%), cost-effectiveness, eco-friendliness, scalability, and photostability. A fluorescence-based technique was developed using powder dusting to apply latent fingerprint (LFP) visualization and preservation. This method demonstrated high sensitivity, contrast, and no background interference, enabling the detection of LFPs over extended periods. Furthermore, lip prints (LPs), known for their sex differences and stability, have been effectively utilized for reliable and efficient forensic investigations. An unclonable invisible security ink was developed to combat counterfeiting, exhibiting high stability against UV light, aging, and physical abrasion. Mathematical models were employed for various fingerprint image processing tasks, including segmentation, normalization, ridge orientation estimation, ridge frequency estimation, Gabor filtering, binarization, thinning, and minutiae extraction. These algorithms were implemented by using a Python-based environment, resulting in enhanced fingerprints that displayed level I-II features. These findings underscore the potential applications of SAO:Pr3+ NPs in advanced forensic science and data security. This study offers insights into the synthesis, characterization, and application of SAO:Pr3+ NPs, highlighting their suitability for advanced forensic investigations, data security, and anticounterfeiting measures.

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