Urea‐Formaldehyde Resin Confined Silicon Nanodots Composites: High‐Performance and Ultralong Persistent Luminescence for Dynamic AI Information Encryption

Persistent luminescence materials typically encounter an intrinsic trade-off between high phosphorescence quantum yield (PhQY) and ultralong phosphorescence lifetime. To overcome this limitation, we propose a strategy that immobilizes silicon nanodots (SiNDs) within a dual-functional composite matrix. The SiNDs efficiently generate abundant triplet excitons through intersystem crossing processes and simultaneously exhibit high PhQYs. Importantly, the urea-paraformaldehyde-derived matrix provides both the spatial confinement of molten urea and the extensive hydrogen-bonding network of the urea-formaldehyde resin. This synergistic configuration effectively immobilizes triplet excitons and suppresses nonradiative decay pathways. As a result, the material exhibits a remarkable PhQY of 81.04% together with an ultralong afterglow lifetime of 3.44 s. Furthermore, the energy transfer strategy further extends the persistent afterglow into the deep-red region (702 nm). Leveraging the tunable afterglow colors and time-resolved luminescent characteristics, an artificial intelligence-assisted information encryption system was successfully developed. This work demonstrates that integrating SiNDs with a dual-characteristic matrix provides a promising approach to concurrently achieving high PhQYs and ultralong lifetimes, thereby broadening the application scope of ultralong-afterglow materials and guiding the rational design of next-generation persistent luminescence materials.

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Publication Details

Journal
Advanced Science
Published
2026-01-20
DOI
https://doi.org/10.1002/advs.202522820
Primary Topic
Carbon and Quantum Dots Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Urea‐Formaldehyde Resin Confined Silicon Nanodots Composites: High‐Performance and Ultralong Persistent Luminescence for Dynamic AI Information Encryption

Lei Cao, Qiannan You, Mingzheng Jia, Xinpei Pang et al.
Advanced Science
Carbon and Quantum Dots Applications
article

Urea‐Formaldehyde Resin Confined Silicon Nanodots Composites: High‐Performance and Ultralong Persistent Luminescence for Dynamic AI Information Encryption

Lei Cao, Qiannan You, Mingzheng Jia, Xinpei Pang, Lele Gao, Wen‐Fei Dong, Panyong Wang, Minghui Zan, Li Li, Yulu Liu
article en

Abstract

Persistent luminescence materials typically encounter an intrinsic trade-off between high phosphorescence quantum yield (PhQY) and ultralong phosphorescence lifetime. To overcome this limitation, we propose a strategy that immobilizes silicon nanodots (SiNDs) within a dual-functional composite matrix. The SiNDs efficiently generate abundant triplet excitons through intersystem crossing processes and simultaneously exhibit high PhQYs. Importantly, the urea-paraformaldehyde-derived matrix provides both the spatial confinement of molten urea and the extensive hydrogen-bonding network of the urea-formaldehyde resin. This synergistic configuration effectively immobilizes triplet excitons and suppresses nonradiative decay pathways. As a result, the material exhibits a remarkable PhQY of 81.04% together with an ultralong afterglow lifetime of 3.44 s. Furthermore, the energy transfer strategy further extends the persistent afterglow into the deep-red region (702 nm). Leveraging the tunable afterglow colors and time-resolved luminescent characteristics, an artificial intelligence-assisted information encryption system was successfully developed. This work demonstrates that integrating SiNDs with a dual-characteristic matrix provides a promising approach to concurrently achieving high PhQYs and ultralong lifetimes, thereby broadening the application scope of ultralong-afterglow materials and guiding the rational design of next-generation persistent luminescence materials.

Advanced ScienceVol. 13(17)
University of Science and Technology of China (CN), Tianjin First Center Hospital (CN), Suzhou University of Science and Technology (CN), Suzhou Institute of Biomedical Engineering and Technology (CN), Shandong First Medical University (CN), Anhui Normal University (CN), Tianjin Medical University (CN)
China Postdoctoral Science Foundation, Natural Science Foundation of Shandong Province, Youth Innovation Promotion Association
Affordable and clean energy
Openalex Percentile: Top 83%
Carbon and Quantum Dots Applications
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