Journal
ADVANCED FUNCTIONAL MATERIALS
Volume 29, Issue 38, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.201903733
Keywords
aggregation-induced emission; cancer; imaging agents; photodegradation; semiconducting polymers
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Funding
- Beijing Natural Science Foundation [7192106]
- Natural Science Foundation of China [21775010, 81728010, 11811530639, 21575032]
- Fundamental Research Funds for the Central Universities [PT1902, XK1901, XK1802-6]
- Youth Innovation Promotion Association CAS [2015024]
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Semiconducting polymer nanoparticles (SPNs) have potential in biological applications. While some SPNs have significant photothermal conversion efficiencies (PCEs) as photothermal and photoacoustic agents, other SPNs offer high fluorescence yields as photoluminescent agents. However, the energy balance distribution in SPNs inhibits their successful applications in photoluminescence/photoacoustic (PL/PA) dual-modality imaging. Additionally, the ultrastability of SPNs in vivo may cause damage to organisms. This work reports nanocomposite semiconducting polymer and tetraphenylethene nanoparticles (STNPs) constructed by semiconducting polymers (SPs) and tetraphenylethene aggregation-induced emission luminogens (TPE AIEgens). The SP SPC10 endows good photothermal conversion ability, and the AIEgen TPBM supports enhanced photoluminescence of the STNPs. The results show that the STNPs can act as PL/PA dual-modality imaging agents. The signal-to-noise (S/N) ratio in the PL modality reaches 8.7, and the imaging depth in the PA modality is 5.8 mm. The SPC10 in the STNPs can be decomposed under 90 mW cm(-2) white light irradiation in 6 h without any other additional agents. Furthermore, the STNPs are sufficient for the treatment of xenograft 4T1 tumor-bearing mice based on photothermal therapy. The nanocomposite STNPs achieve optimized dual-modality PL/PA imaging and the AIEgen-triggered in situ photodegradation of SPNs. These properties indicate the significant potential of STNPs in clinical diagnosis and noninvasive therapy.
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