Issue 48, 2024

Controllable persistent luminescence in bismuth activated memory phosphors by trap management for artificial intelligence anti-counterfeiting

Abstract

The management of multicolour and multimode luminescence in persistent luminescence (PersL) materials plays a crucial role in encrypting information to combat forgery. Although luminescent anti-counterfeiting has made significant progresses, anti-counterfeiting signals only exhibit typical luminescent emission colours of materials under fixed external stimuli, which makes them susceptible to be replicated. Here, we developed a series of LiReGeO4:Bi,Ln (Re = Lu, Y and Gd, Ln = Eu, Tb, Pr, Yb, Sm, Tm, Ce, Dy and Er) phosphors with multicolour and on-demand controlled PersL emission through purposeful design of the electron–hole pair trap structure. Besides the multicolour and multimode emission, these phosphors demonstrated a temporal memory function for writing information, which provides a new dimension for higher-order anti-counterfeiting. As an example, LiLuGeO4:Bi,Ln (Ln = Eu, Tb, Pr and Yb) memory phosphors display the pattern signals in the order requested by the owner, which makes any sophisticated forgery technique powerless. The study here provides not only a simplistic method for constructing a new-type persistent memory material, but also a new paradigm of artificial intelligence memory for anti-counterfeiting technology.

Graphical abstract: Controllable persistent luminescence in bismuth activated memory phosphors by trap management for artificial intelligence anti-counterfeiting

Supplementary files

Transparent peer review

To support increased transparency, we offer authors the option to publish the peer review history alongside their article.

View this article’s peer review history

Article information

Article type
Paper
Submitted
10 Sep 2024
Accepted
21 Oct 2024
First published
22 Oct 2024

J. Mater. Chem. C, 2024,12, 19487-19497

Controllable persistent luminescence in bismuth activated memory phosphors by trap management for artificial intelligence anti-counterfeiting

D. Gao, C. Du, Y. Wang, W. Xu, W. Gao, Q. Pang and Y. Wang, J. Mater. Chem. C, 2024, 12, 19487 DOI: 10.1039/D4TC03894K

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements