Evidence map›Paper›PMID 41556425›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

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

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

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yulu LiuDepartment of Biomaterials and Stem Cells, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science (CAS), Suzhou, P. R. China.
Lei CaoDepartment of Biomaterials and Stem Cells, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science (CAS), Suzhou, P. R. China.
Lele GaoDepartment of Biomaterials and Stem Cells, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science (CAS), Suzhou, P. R. China.
Panyong WangDepartment of Biomaterials and Stem Cells, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science (CAS), Suzhou, P. R. China.
Qiannan YouDepartment of Biomaterials and Stem Cells, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science (CAS), Suzhou, P. R. China.
Xinpei PangDepartment of Biomaterials and Stem Cells, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science (CAS), Suzhou, P. R. China.
Li LiDepartment of Biomaterials and Stem Cells, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science (CAS), Suzhou, P. R. China.
Mingzheng JiaTianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, P. R. China.
Wen-Fei DongDepartment of Biomaterials and Stem Cells, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science (CAS), Suzhou, P. R. China.ORCID https://orcid.org/0000-0002-1243-0177
Minghui ZanDepartment of Biomaterials and Stem Cells, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science (CAS), Suzhou, P. R. China.

Funding

China Postdoctoral Science Foundation 2025M772912Clinical AI Research Program of National Institute of Hospital Administration YLXX24AID004National Key R&D Program of China 2023YFB3210300Natural Science Foundation of Shandong Province ZR2025QC1332Research Topic of the Suzhou Basic Research Pilot Program SSD2023015Research Topic of the Suzhou Basic Research Pilot Program SSD2023016Research Topic of the Suzhou Basic Research Pilot Program SSD2025016Youth Innovation Promotion Association of CAS 2022326
6 · The paper itself

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.

Indexed as

AI information encryptionpersistent luminescencephosphorescence quantum yieldsilicon nanodotsultralong lifetime

Identifiers

PMID41556425
PMCPMC13042435

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.