关键词：
Upconversion nanoparticles
Mn2+
NaYF4 latent fingerprint patterns
MATLAB
UP-CONVERSION LUMINESCENCE
MN2+
EMISSION
摘要：
The development and comparison of Latent Fingerprint Patterns (LFPs) constitute critical components of research in fingerprint detection and identification. However, the development of nanomaterials visualization and digital algorithms for LFPs analysis are mostly studied independently, resulting in inaccurate LFPs. This research synthesized a series of efficient red -emitting NaYF 4 :20 %Yb, 2 %Er, x %Mn ( x = 0, 5, 10, 15, 20, 25, 30, 35, and 40) upconversion nanoparticles (UCNPs) for image development, which were combined with a digital algorithm for accurate LFP recognition. The eightfold increase in luminescence intensity of NaYF 4 :Yb, Er, 30 %Mn at 653 nm effectively avoids interference from biological tissue fluorescence. This improvement is credited to the efficient reverse energy transfer mechanism between Er 3 + and Mn 2 + ions, specifically the transition sequence 4 S 3/2 (Er 3 + ) . 4 T 1 (Mn 2 + ) . 4 F 9/2 (Er 3 + ). Furthermore, a MATLAB program was employed to process the fluorescent images of LFPs developed using the UCNPs nanophosphors, achieving a high matching score of 90.09 % for the optimized sample, significantly outperforming traditional benchmarks. These results demonstrate the superior effectiveness of the NaYF 4 :Yb, Er, 30 %Mn nanophosphor, combined with digital processing algorithms, for practical LFP recognition applications.
ScienceDirectJournal
详细信息
万方期刊数据库
详细信息
同方期刊数据库
详细信息
