journal article·2026-03Open access

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

Advanced Science· Volume 13· Issue 17

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Carbon and Quantum Dots Applications · Luminescence and Fluorescent Materials · Luminescence Properties of Advanced Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Biomaterials and Stem Cells Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Science (CAS) Suzhou P. R. China

Jinan Guoke Medical Technology Development Co., Ltd Shandong P. R. China

Anhui Key Laboratory of Biomedical Materials and Chemical Measurement Key Laboratory of Functional Molecular Solids Ministry of Education College of Chemistry and Materials Science Anhui Normal University Wuhu P. R. China

School of Biomedical Engineering (Suzhou) Division of Life Sciences and Medicine University of Science and Technology of China Hefei P. R. China

Tianjin Union Medical Center The First Affiliated Hospital of Nankai University Tianjin P. R. China

Funding

National Key Research and Development Program of China · Natural Science Foundation of Shandong Province · China Postdoctoral Science Foundation

References (66)

Show source-provided references
1. 10.1002/adma.20210796210.1002/adma.202107962 ↗
2. 10.1002/adfm.20241746710.1002/adfm.202417467 ↗
3. 10.1038/s41563‐023‐01659‐110.1038/s41563‐023‐01659‐1 ↗
4. 10.1002/advs.20250388310.1002/advs.202503883 ↗
5. 10.1016/j.nantod.2025.10275010.1016/j.nantod.2025.102750 ↗
6. 10.1002/adma.20240377510.1002/adma.202403775 ↗
7. 10.1002/adfm.20240566910.1002/adfm.202405669 ↗
8. 10.1002/anie.20220710410.1002/anie.202207104 ↗
9. 10.1016/j.cej.2025.15924610.1016/j.cej.2025.159246 ↗
10. 10.1002/adfm.20230073510.1002/adfm.202300735 ↗
11. 10.1002/anie.20180694310.1002/anie.201806943 ↗
12. 10.1002/anie.20190976010.1002/anie.201909760 ↗
13. 10.1039/D4MH00771A10.1039/D4MH00771A ↗
14. 10.1002/adma.20221048910.1002/adma.202210489 ↗
15. 10.1002/anie.20231851610.1002/anie.202318516 ↗
16. 10.1038/s41467‐024‐48836‐710.1038/s41467‐024‐48836‐7 ↗
17. 10.1016/j.carbon.2022.11.04810.1016/j.carbon.2022.11.048 ↗
18. 10.1002/smll.20230593310.1002/smll.202305933 ↗
19. 10.1016/j.jcis.2021.08.18810.1016/j.jcis.2021.08.188 ↗
20. 10.1016/j.nanoen.2022.10761710.1016/j.nanoen.2022.107617 ↗
21. 10.1021/acs.nanolett.7b0470010.1021/acs.nanolett.7b04700 ↗
22. 10.1016/j.cej.2023.14434910.1016/j.cej.2023.144349 ↗
23. 10.1002/adom.20200101810.1002/adom.202001018 ↗
24. 10.1002/adom.20250064710.1002/adom.202500647 ↗
25. 10.1021/acs.analchem.4c0083510.1021/acs.analchem.4c00835 ↗
26. 10.1016/j.jcis.2024.05.22710.1016/j.jcis.2024.05.227 ↗
27. 10.1007/s12274‐020‐2781‐110.1007/s12274‐020‐2781‐1 ↗
28. 10.1002/smll.20230346410.1002/smll.202303464 ↗
29. 10.1002/adma.20220797010.1002/adma.202207970 ↗
30. 10.1016/j.cej.2023.14233910.1016/j.cej.2023.142339 ↗
31. 10.1016/j.cclet.2022.10795010.1016/j.cclet.2022.107950 ↗
32. 10.1002/adfm.20241387810.1002/adfm.202413878 ↗
33. 10.1038/s41467‐022‐28011‐610.1038/s41467‐022‐28011‐6 ↗
34. 10.1021/jacs.4c1714210.1021/jacs.4c17142 ↗
35. 10.1021/jacs.4c0888910.1021/jacs.4c08889 ↗
36. 10.1002/anie.20242015610.1002/anie.202420156 ↗
37. 10.1021/acs.jpcc.2c0347110.1021/acs.jpcc.2c03471 ↗
38. 10.1002/adma.20240122010.1002/adma.202401220 ↗
39. 10.1038/s41467‐024‐48744‐w10.1038/s41467‐024‐48744‐w ↗
40. 10.1002/adma.20240296610.1002/adma.202402966 ↗
41. 10.1016/j.fuel.2017.06.11710.1016/j.fuel.2017.06.117 ↗
42. 10.1177/000370281664126310.1177/0003702816641263 ↗
43. 10.1016/j.ijadhadh.2023.10341610.1016/j.ijadhadh.2023.103416 ↗
44. 10.1021/jp984180z10.1021/jp984180z ↗
45. 10.1016/S1386‐1425(00)00223‐710.1016/S1386‐1425(00)00223‐7 ↗
46. 10.1021/ie500174610.1021/ie5001746 ↗
47. 10.1016/j.saa.2004.10.03110.1016/j.saa.2004.10.031 ↗
48. 10.1016/j.colsurfa.2022.12936410.1016/j.colsurfa.2022.129364 ↗
49. 10.1016/j.jmrt.2024.08.00310.1016/j.jmrt.2024.08.003 ↗
50. 10.1002/advs.20240078110.1002/advs.202400781 ↗
51. 10.1016/j.jiec.2020.03.01410.1016/j.jiec.2020.03.014 ↗
52. 10.1039/C9TA01266D10.1039/C9TA01266D ↗
53. 10.1002/adom.20250232810.1002/adom.202502328 ↗
54. 10.1002/anie.20220023610.1002/anie.202200236 ↗
55. 10.1021/acs.nanolett.2c0060310.1021/acs.nanolett.2c00603 ↗
56. 10.1002/adom.20230282010.1002/adom.202302820 ↗
57. 10.1002/adma.20240936110.1002/adma.202409361 ↗
58. 10.1038/s41570‐023‐00555‐110.1038/s41570‐023‐00555‐1 ↗
59. 10.1126/sciadv.abk292510.1126/sciadv.abk2925 ↗
60. 10.1002/adma.20210833310.1002/adma.202108333 ↗
61. 10.1021/acssensors.4c0211710.1021/acssensors.4c02117 ↗
62. 10.1016/j.jconrel.2010.06.00210.1016/j.jconrel.2010.06.002 ↗
63. 10.1038/s41467‐024‐47992‐010.1038/s41467‐024‐47992‐0 ↗
64. G.Wang Making “CASES” for AI in Medicine BME Frontier5(2024):0036 https://spj.science.org/doi/10.34133/bmef.0036.10.34133/bmef.0036 ↗
65. 10.34133/bmef.004810.34133/bmef.0048 ↗
66. 10.34133/bmef.005410.34133/bmef.0054 ↗