With the rapid development of information in modern society, the research and development of advanced anti-counterfeiting technology is becoming more and more important to protect the security and comprehensiveness of information. Therefore, fluorescent ink as an anti-counterfeiting technology and fingerprint recognition technology as a "human information identification card" has attracted the attention of many research groups. Herein, dual-mode (upconversion (UC) and down-conversion (DC)) lanthanide-doped luminescent nanoarchitectures were developed using Y2O3:Er3+,Yb3+ nanoparticles as a core, and layered lanthanide hydroxides (LLHs) nanomaterials as a shell. Under the irradiation of 980 nm near infrared light, the nanoarchitectures emitted a bright up-converted red light emission. While under the irradiation of 254 nm UV light, the nanoarchitectures can directly emit multi-color luminescence (from green to yellow-green, yellow, orange and red) by changing the suitable ratios of Tb3+/Eu3+ ions. The information can only be extracted when the irradiation of two kinds of excitation light sources existed at the same time, which can improve the difficulty of illegal imitation and enhance the level of anti-counterfeiting. Furthermore, these luminescent nanoarchitectures were investigated for visual latent fingerprints recognition on various substrates with high definition, high sensitivity and high anti-interference. These results indicated that the nanoarchitectures reported in this study may have great application prospects in information security and identity recognition.
Dual-mode, Color-tunable, Lanthanide-Doped Core-Shell Nanoarchitectures for Anti-counterfeiting Inks and Latent Fingerprint Recognition.
Jun Xu,Beibei Zhang,L. Jia,Yanping Fan,Rujie Chen,Tinghui Zhu,Baozhong Liu
Published 2019 in ACS Applied Materials and Interfaces
ABSTRACT
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- Publication year
2019
- Venue
ACS Applied Materials and Interfaces
- Publication date
2019-09-04
- Fields of study
Medicine, Materials Science, Chemistry
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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