Afterglow Resonance Energy Transfer‐Induced Near‐Infrared Afterglow Imaging for Surgical Navigation of Microtumors

ABSTRACT Accurate intraoperative identification and complete resection of tumor lesions are essential for effective cancer treatment, especially for microtumors. However, conventional fluorescence imaging is hampered by tissue autofluorescence interference, limited penetration depth, and low signal‐to‐background ratio (SBR), which restrict its utility in surgical navigation. Herein, we report near‐infrared (NIR) afterglow nanoparticles (TA@M1 NPs) for high‐precision image‐guided surgical resection. By engineering afterglow resonance energy transfer, the afterglow emission is red‐shifted to 820–880 nm, enabling clear visualization through deep tissues and substantially enhanced SBR compared to conventional afterglow nanoparticles. In vivo, TA@M1 NPs achieve precise tumor–normal tissue discrimination with a ratio of 41.7. Guided by NIR afterglow imaging, metastatic tumors smaller than 1 mm are accurately identified and resected, with performance comparable to the gold‐standard system. Furthermore, TA@M1 NPs exhibit strong NIR afterglow with penetration depths up to 4 cm under ultrasound excitation, along with markedly enhanced SBR. In vivo, TA@M1 NPs enable precise identification of orthotopic liver tumors. This work establishes an autofluorescence‐free imaging strategy for surgical navigation of microtumors, offering substantial potential for oncologic surgery.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-08-20
DOI
https://doi.org/10.1002/adfm.77739
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
0.00

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article

Afterglow Resonance Energy Transfer‐Induced Near‐Infrared Afterglow Imaging for Surgical Navigation of Microtumors

Jun Cheng, Huiyi Liu, Fengrong Lv, Guosheng Song et al.
Advanced Functional Materials
Nanoplatforms for cancer theranostics
article

Afterglow Resonance Energy Transfer‐Induced Near‐Infrared Afterglow Imaging for Surgical Navigation of Microtumors

Jun Cheng, Huiyi Liu, Fengrong Lv, Guosheng Song, Yuzhen Yu, Bo Wei, Xiaobing Zhang, Wenjing Chen, Hengxin Shen, Xinyu Xu, Zhe Li, Hui Cao, Ying Zhou, Yue Sun, Jiaqi Fu, Xingyue Fan
article en

Abstract

ABSTRACT Accurate intraoperative identification and complete resection of tumor lesions are essential for effective cancer treatment, especially for microtumors. However, conventional fluorescence imaging is hampered by tissue autofluorescence interference, limited penetration depth, and low signal‐to‐background ratio (SBR), which restrict its utility in surgical navigation. Herein, we report near‐infrared (NIR) afterglow nanoparticles (TA@M1 NPs) for high‐precision image‐guided surgical resection. By engineering afterglow resonance energy transfer, the afterglow emission is red‐shifted to 820–880 nm, enabling clear visualization through deep tissues and substantially enhanced SBR compared to conventional afterglow nanoparticles. In vivo, TA@M1 NPs achieve precise tumor–normal tissue discrimination with a ratio of 41.7. Guided by NIR afterglow imaging, metastatic tumors smaller than 1 mm are accurately identified and resected, with performance comparable to the gold‐standard system. Furthermore, TA@M1 NPs exhibit strong NIR afterglow with penetration depths up to 4 cm under ultrasound excitation, along with markedly enhanced SBR. In vivo, TA@M1 NPs enable precise identification of orthotopic liver tumors. This work establishes an autofluorescence‐free imaging strategy for surgical navigation of microtumors, offering substantial potential for oncologic surgery.

Advanced Functional Materials
Sun Yat-sen University (CN), Hunan University (CN), Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN), Third Affiliated Hospital of Sun Yat-sen University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, National Key Research and Development Program of China
Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Nanoplatforms for cancer theranostics
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