The DOI matches its Crossref record; 44 of the 45 references it cites were found in a registry or an index.
An All‐Round Athlete on the Track of Phototheranostics: Subtly Regulating the Balance between Radiative and Nonradiative Decays for Multimodal Imaging‐Guided Synergistic Therapy
Abstract
Aiming to achieve versatile phototheranostics with the integrated functionalities of multiple diagnostic imaging and synergistic therapy, the optimum use of dissipated energy through both radiative and nonradiative pathways is definitely appealing, yet a significantly challenging task. To the best of the knowledge, there have been no previous reports on a single molecular species effective at affording all phototheranostic modalities including fluorescence imaging (FLI), photoacoustic imaging (PAI), photothermal imaging (PTI), photodynamic therapy (PDT), and photothermal therapy (PTT). Herein, a simple and highly powerful one‐for‐all phototheranostics based on aggregation‐induced emission (AIE)‐active fluorophores is tactfully designed and constructed. Thanks to its strong electron donor–acceptor interaction and finely modulated intramolecular motion, the AIE fluorophore‐based nanoparticles simultaneously exhibit bright near‐infrared II (NIR‐II) fluorescence emission, efficient reactive oxygen species generation, and high photothermal conversion efficiency upon NIR irradiation, indicating the actualization of a balance between radiative and nonradiative energy dissipations. Furthermore, the unprecedented performance on NIR‐II FLI‐PAI‐PTI trimodal‐imaging‐guided PDT–PTT synergistic therapy is demonstrated by the precise tumor diagnosis and complete tumor elimination outcomes. This study thus brings a new insight into the development of superior versatile phototheranostics for practical cancer theranostics.
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In the citing paper
“Cyano derivatives, such as malononitrile, are essential electron acceptors for designing NIR-II fluorescent probes”
From Organic small-molecule NIR-II fluorophores for tumor phototheranostics (2026) · cites this paper as [185]
In the citing paper
“Tang et al. demonstrated that introducing thiophene units into conjugated backbones such as TSI and TSSI enhanced electron-donating ability, leading to significant red-shifts in absorption and emission185.”
From Organic small-molecule NIR-II fluorophores for tumor phototheranostics (2026) · cites this paper as [185]
In the citing paper
“These configurations significantly narrow the molecular bandgap, shifting absorption and emission from the visible or NIR-I to the NIR-II region”
From Organic small-molecule NIR-II fluorophores for tumor phototheranostics (2026) · cites this paper as [185]
Citations
Cites
Aggregation-induced emission of 1-methyl-1,2,3,4,5-pentaphenylsilole
Luo, J., Xie, Z., Lam, J. W. Y., Cheng, L., Tang, B. Z., Chen, H., Qiu, C., Kwok, H. S., Zhan, X., Liu, Y., et al. (2001) · Chemical Communications · doi:10.1039/b105159h · Cited by 8,358
Self-citationAggregation-Induced Emission: Together We Shine, United We Soar!
Mei, J., Leung, N. L. C., Kwok, R. T. K., Lam, J. W. Y., & Tang, B. Z. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00263 · Cited by 8,270
Self-citationPhotothermal therapy and photoacoustic imaging via nanotheranostics in fighting cancer
Liu, Y., Bhattarai, P., Dai, Z., & Chen, X. S. (2018) · Chemical Society Reviews · doi:10.1039/c8cs00618k · Cited by 2,936
New Strategies for Fluorescent Probe Design in Medical Diagnostic Imaging
Kobayashi, H., Ogawa, M., Alford, R. E., Choyke, P. L., & Urano, Y. (2009) · Chemical Reviews · doi:10.1021/cr900263j · Cited by 2,205
Nanotechnology for Multimodal Synergistic Cancer Therapy
Fan, W., Yung, B. C., Huang, P., & Chen, X. S. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00258 · Cited by 1,813
A small-molecule dye for NIR-II imaging
Antaris, A. L., Chen, H., Cheng, K., Sun, Y., Hong, G., Qu, C., Diao, S., Deng, Z., Hu, X., Zhang, B., et al. (2016) · Nature Materials · doi:10.1038/nmat4476 · Cited by 1,778
Lovell, J. F., Jin, C. S., Huynh, E., Jin, H., Kim, C., Rubinstein, J. L., Chan, W. C. W., Cao, W., Wang, L. V., & Zheng, G. (2011) · Nature Materials · doi:10.1038/nmat2986 · Cited by 1,364
Self-citationContrast agents for molecular photoacoustic imaging
Weber, J., Beard, P. C., & Bohndiek, S. E. (2016) · Nature Methods · doi:10.1038/nmeth.3929 · Cited by 1,276
Rethinking cancer nanotheranostics
Chen, H., Zhang, W., Zhu, G., Xie, J., & Chen, X. S. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.24 · Cited by 1,113
Nanomaterials for In Vivo Imaging
Smith, B. R., & Gambhir, S. S. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00073 · Cited by 1,084
Cited by
Sorted by citations
Recent Strategies to Develop Innovative Photosensitizers for Enhanced Photodynamic Therapy
Pham, T. C., Nguyen, V.-N., Choi, Y., Lee, S., & Yoon, J. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00381 · Cited by 1,813
Aggregation‐enhanced theranostics: AIE sparkles in biomedical field
Kang, M., Zhang, Z., Song, N., Li, M., Sun, P., Chen, X., Wang, D., & Tang, B. Z. (2020) · Aggregate · doi:10.1002/agt2.7 · Cited by 485
Self-citationAggregation-Induced Emission (AIE), Life and Health
Wang, H., Li, Q., Alam, P., Bai, H., Bhalla, V., Bryce, M. R., Cao, M., Chen, C., Chen, S., Chen, X., et al. (2023) · ACS Nano · doi:10.1021/acsnano.3c03925 · Cited by 404
Self-citationThe fast-growing field of photo-driven theranostics based on aggregation-induced emission
Zhang, Z., Kang, M., Tan, H., Song, N., Li, M., Xiao, P., Yan, D., Zhang, L., Wang, D., & Tang, B. Z. (2022) · Chemical Society Reviews · doi:10.1039/d1cs01138c · Cited by 374
Self-citationConferring Ti‐Based MOFs with Defects for Enhanced Sonodynamic Cancer Therapy
Liang, S., Xiao, X., Bai, L., Liu, B., Yuan, M., Ma, P., Pang, M., Cheng, Z., & Lin, J. (2021) · Advanced Materials · doi:10.1002/adma.202100333 · Cited by 362
Metadata
- Authors
- Zhang, Z., Xu, W., Kang, M., Wen, H., Guo, H., Zhang, P., Xi, L., Li, K., Wang, L., Wang, D., & Tang, B. Z.
- Affiliations
- Shenzhen University (CN)
- Hong Kong University of Science and Technology (HK)
- Southern University of Science and Technology (CN)
- Chinese Academy of Sciences (CN)
- Corresponding author
- Wang, Dong
- Tang, Ben Zhong
- ORCID
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2020-07-21
- Volume
- 32
- Issue
- 36
- Pages
- e2003210-e2003210
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3045107785
- Cited by
- 436
- References
- 45
- Citations by year
- 2026: 34 · 2025: 55 · 2024: 94 · 2023: 78 · 2022: 79 · 2021: 86 · 2020: 10
- FWCI
- 19.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Advanced Materials (publishedVersion)
- PubMed (publishedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
- Physical Sciences › Materials Science › Materials Chemistry › Luminescence and Fluorescent Materials
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Photodynamic Therapy Research Studies
- Keywords
- phototheranostics, aggregation-induced emission, NIR-II fluorescence imaging, photoacoustic imaging, photothermal imaging, photodynamic therapy, photothermal therapy, synergistic cancer therapy, donor-acceptor interactions, reactive oxygen species generation, tumor diagnosis, multimodal imaging
- MeSH terms
- Neoplasms, Phototherapy, Optical Imaging, Multimodal Imaging
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