Nanophosphors' great brightness, adjustable emission, and superior photostability have made them cutting-edge luminous materials for forensic investigations. Latent fingerprints on porous, non-porous, multicolored, and patterned surfaces can be seen in high resolution due to their nanoscale size and strong affinity for fingerprint residues. Eu 3 + , Tb 3+ , Fe 3+ , and Dy 3+ -activated systems are among the rare-earth- and transition-metal-doped nanophosphors that have recently advanced for use in forensic applications such as anti-counterfeiting, forensic sensing, and latent fingerprint detection. Nanophosphors provide time-gated detection, narrow emission bands, and sustained luminescence in contrast to traditional fingerprint powders and carbon dots. The following improves evidential contrast and lowers background interference. The optical performance and forensic efficiency of key material design strategies are examined, including host lattice selection, dopant optimization, surface modification, and green synthesis techniques. Their use in environmental monitoring and forensic toxicology, where they enable the identification of hazardous materials such as pesticides, heavy metals, and volatile organic compounds using luminescence-based methods, is highlighted in particular. Additionally emphasized are new developments like multipurpose forensic tagging and automated fingerprint analysis through integration with artificial intelligence. Nanophosphors show great promise as next-generation instruments for sensitive and dependable forensic evidence visualization, despite lingering issues with standardization, scalability, and safety evaluation. Despite these benefits, routine deployment is still constrained by a number of issues, including large-scale synthesis, repeatability, standardization, long-term environmental safety, and forensic validation. Future studies should concentrate on portable sensor platforms, AI-assisted forensic imaging, scalable manufacturing, and globally standardized forensic procedures.
Sangwan et al. (Tue,) studied this question.