Cited by 29Luminescence and Fluorescent MaterialsMolecular Sensors and Ion DetectionLuminescence Properties of Advanced Materials

Donor–Acceptor–Donor Near-Infrared-II Aggregation-Induced Emission Luminogens (AIEgens) Encapsulated within Nanometer-Sized Exosomes for Tumor Imaging

Cheng, Peng, Du, Xinlong, Chen, Shangyu, Chen, Kai, Yuan, Ying, Shao, Jing, Shen, Qingming, Sun, Pengfei +1 more·2023·ACS Applied Nano Materials

Abstract

Developing organic aggregation-induced emission luminogens (AIEgens) with a donor–acceptor–donor (D–A–D) structure improves fluorescence imaging for biological applications due to their deep tissue penetration, high fluorescence quantum yield, and good biocompatibility. However, compared to the systematically well-explored near-infrared-I (NIR-I, 650–900 nm) AIEgens, the research on organic D–A–D-type near-infrared-II (NIR-II, 1000–1700 nm) AIEgens received a snub, by contrast, owing to their lack of diversity, low AIE character, and poor tumor accumulation, which has become a bottleneck in the bioimaging field. Herein, we report a D–A–D-type organic NIR-II fluorophore with typical AIE character (α AIE > 4) through careful manipulation of the electron donor and acceptor. The tumor-associated macrophage (TAM)-derived exosomes with nanometer size were used as templates to encapsulate the NIR-II AIEgens ( o BBT-DPNA) in a well-defined structure (named as AIE@Exo). The AIE@Exo displayed a superb aggregation-intensified NIR-II fluorescence with a maximum emission peak at 1052 nm as well as a calculated fluorescence quantum yield (QY) of 3.1%. Moreover, the in vivo application of AIE@Exo in efficient NIR-II fluorescence imaging of whole-body vessels and tumor was successfully demonstrated in living mice. Overall, the nanometer-sized biomimetic nanoparticles represent successful NIR-II AIE nanoparticles for biomedical imaging.

Integrity signals

Registry

Crossref · 10.1021/acsanm.3c01749

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Organic AIEgens offer significant advantages for biomedical imaging, owing to their tunable spectral responses and high brightness.

    “Organic AIEgens offer significant advantages for biomedical imaging, owing to their tunable spectral responses and high brightness214.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Cheng, P., Du, X., Chen, S., Chen, K., Yuan, Y., Shao, J., Shen, Q., Sun, P., & Fan, Q.
Affiliations
  • Nanjing University of Posts and Telecommunications (CN)
  • Zhongnan Hospital of Wuhan University (CN)
Corresponding author
  • Chen, Shangyu
  • Sun, Pengfei
Venue
ACS Applied Nano Materials
Published
2023-06-03
Volume
6
Issue
12
Pages
10736-10745
ISSN
2574-0970 (ISSN-L)
OpenAlex
W4379191634
Cited by
29
References
47
Citations by year
2026: 6 · 2025: 12 · 2024: 11
FWCI
2.14
Type
journal article
Language
en
Open access
closed
Locations
ACS Applied Nano Materials (publishedVersion)
Funders
  • Natural Science Research of Jiangsu Higher Education Institutions of China (20KJA430012)
  • Natural Science Foundation of Jiangsu Province (BK20201380, BK20221326)
Topics
  • Physical Sciences › Materials Science › Materials Chemistry › Luminescence and Fluorescent Materials
  • Physical Sciences › Chemistry › Spectroscopy › Molecular Sensors and Ion Detection
  • Physical Sciences › Materials Science › Materials Chemistry › Luminescence Properties of Advanced Materials
Keywords
aggregation-induced emission, NIR-II fluorophores, donor-acceptor-donor structure, exosomes, tumor-associated macrophages, tumor imaging, fluorescence imaging, biomimetic nanoparticles, fluorescence quantum yield, deep tissue imaging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review