Acceptor Engineering‐Mediated Charge‐Transfer Control: A Hierarchical Framework for Predictive Design of High‐Performance Type I AIE Photosensitizers
Source abstract
Abstract
ABSTRACT This study presents a hierarchical multi‐parameter framework for designing hypoxia‐tolerant Type I aggregation‐induced emission (AIE) photosensitizers through acceptor engineering. Enhancing electron‐withdrawing capacity strengthens intramolecular charge transfer (ICT) in singlet excited states (S n ), enabling a direct charge transfer‐mediated intersystem crossing (ISC) pathway. Key parameters—favorable singlet‐triplet gap (ΔE > 0, thermodynamic prerequisite), low reorganization energy (λ, kinetic driver), and strong spin‐orbit coupling (SOC, ISC activator)—optimize ISC efficiency, an exceptionally high S 1 →T 1 ISC rate of 2.94 × 10 7 s −1 for DPCMQ. This high ISC efficiency populates the T 1 state, where DPCMQ benefits from optimal descriptors (lowest E b and λ T1 ) for efficient electron transfer. Its performance is further boosted in aggregates by restricted molecular motion and a hydration‐promoted microenvironment. This design selectively promotes hydroxyl radical (•OH) generation over oxygen‐dependent superoxide pathways, while low triplet energy suppresses Type II activity. The framework provides a predictive blueprint for advanced photodynamic therapy optimized for hypoxic conditions.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Nanoplatforms for cancer theranostics · Luminescence and Fluorescent Materials · Luminescence Properties of Advanced Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Chemical Engineering, Ocean and Life Sciences Dalian University of Technology Panjin China
State Key Laboratory of Fine Chemicals Dalian University of Technology Dalian China
Funding
Fundamental Research Funds for the Central Universities · Natural Science Foundation of Liaoning Province
References (68)
Show source-provided references
1. 10.1016/j.scib.2025.02.03710.1016/j.scib.2025.02.037 ↗
2. 10.1002/smll.20241164310.1002/smll.202411643 ↗
3. 10.1016/j.nantod.2024.10259610.1016/j.nantod.2024.102596 ↗
4. 10.1002/smll.20250531610.1002/smll.202505316 ↗
5. 10.1002/advs.20241336510.1002/advs.202413365 ↗
6. 10.1002/smll.20250191110.1002/smll.202501911 ↗
7. 10.1039/D5SC02476E10.1039/D5SC02476E ↗
8. 10.1016/j.ejmech.2024.11650310.1016/j.ejmech.2024.116503 ↗
9. 10.1039/D3SC05041F10.1039/D3SC05041F ↗
10. 10.1002/smll.20250335510.1002/smll.202503355 ↗
11. 10.1016/j.cej.2025.16560310.1016/j.cej.2025.165603 ↗
12. 10.1002/adfm.20200205710.1002/adfm.202002057 ↗
13. 10.1016/j.mtbio.2025.10182810.1016/j.mtbio.2025.101828 ↗
14. 10.1016/j.jcis.2025.13768010.1016/j.jcis.2025.137680 ↗
15. 10.1002/smo.2024003210.1002/smo.20240032 ↗
16. 10.1002/smll.20240285410.1002/smll.202402854 ↗
17. 10.1002/adma.20240218210.1002/adma.202402182 ↗
18. 10.1002/smll.20240133410.1002/smll.202401334 ↗
19. 10.1002/adhm.20240450510.1002/adhm.202404505 ↗
20. 10.1039/D4TB00051J10.1039/D4TB00051J ↗
21. 10.1039/D2QM01043G10.1039/D2QM01043G ↗
22. 10.1002/agt2.51610.1002/agt2.516 ↗
23. 10.1007/s00214‐007‐0310‐x10.1007/s00214‐007‐0310‐x ↗
24. 10.1063/1.46309610.1063/1.463096 ↗
25. 10.1063/1.46714610.1063/1.467146 ↗
26. 10.1021/jp810292n10.1021/jp810292n ↗
27. 10.1021/j100096a00110.1021/j100096a001 ↗
28. 10.1080/0026897740010017110.1080/00268977400100171 ↗
29. 10.1063/1.45506410.1063/1.455064 ↗
30. 10.1063/1.338234410.1063/1.3382344 ↗
31. 10.1002/jcc.2175910.1002/jcc.21759 ↗
32. 10.1016/0009‐2614(96)00349‐110.1016/0009‐2614(96)00349‐1 ↗
33. Frisch M. J. · 2016
34. 10.1142/9789812794901_000910.1142/9789812794901_0009 ↗
35. 10.1063/1.514317310.1063/1.5143173 ↗
36. 10.1142/S021963360300047110.1142/S0219633603000471 ↗
37. 10.1007/s00214005020710.1007/s002140050207 ↗
38. 10.1080/00268976.2013.78561110.1080/00268976.2013.785611 ↗
39. 10.1063/1.475898710.1063/1.4758987 ↗
40. 10.1063/1.489156710.1063/1.4891567 ↗
41. 10.1080/00268976.2017.140296610.1080/00268976.2017.1402966 ↗
42. 10.1021/ja067946e10.1021/ja067946e ↗
43. 10.1007/s11426‐008‐0130‐410.1007/s11426‐008‐0130‐4 ↗
44. 10.1002/cjoc.20200022610.1002/cjoc.202000226 ↗
45. 10.1021/ct300798t10.1021/ct300798t ↗
46. 10.1063/1.271027410.1063/1.2710274 ↗
47. 10.1016/j.physrep.2013.12.00210.1016/j.physrep.2013.12.002 ↗
48. 10.1021/jp101568f10.1021/jp101568f ↗
49. 10.1002/wcms.8110.1002/wcms.81 ↗
50. 10.1063/5.000460810.1063/5.0004608 ↗
51. 10.1002/wcms.132710.1002/wcms.1327 ↗
52. 10.1002/jcc.2288510.1002/jcc.22885 ↗
53. 10.1063/5.021627210.1063/5.0216272 ↗
54. 10.1016/j.carbon.2020.05.02310.1016/j.carbon.2020.05.023 ↗
55. 10.1016/0263‐7855(96)00018‐510.1016/0263‐7855(96)00018‐5 ↗
56. 10.1016/j.softx.2015.06.00110.1016/j.softx.2015.06.001 ↗
57. 10.1002/jcc.2125610.1002/jcc.21256 ↗
58. Pymol: An Open‐source Molecular Graphics Tool
59. 10.1021/ct100212p10.1021/ct100212p ↗
60. 10.1002/qua.2491510.1002/qua.24915 ↗
61. 10.1002/smo.2024002310.1002/smo.20240023 ↗
62. 10.1039/D4SC02179G10.1039/D4SC02179G ↗
63. 10.1021/acsnano.5c1102010.1021/acsnano.5c11020 ↗
64. 10.1021/jacs.2c1186810.1021/jacs.2c11868 ↗
65. 10.1002/anie.20231878310.1002/anie.202318783 ↗
66. 10.1016/j.biomaterials.2025.12319310.1016/j.biomaterials.2025.123193 ↗
67. 10.1021/acs.joc.4c0242810.1021/acs.joc.4c02428 ↗
68. 10.3390/nu1704062710.3390/nu17040627 ↗