Semantic Scholar Open Access 2023 44 sitasi

π Bridge Engineering-Boosted Dual Enhancement of Type-I Photodynamic and Photothermal Performance for Mitochondria-Targeting Multimodal Phototheranostics of Tumor.

Laiping Fang Qi Meng Yuan Zhang Rui Su Fan Xing +5 lainnya

Abstrak

Designing mitochondria-targeting phototheranostic agents (PTAs), which can simultaneously possess exceptional and balanced type-I photodynamic therapy (PDT) and photothermal therapy (PTT) performance, still remains challenging. Herein, benzene, furan, and thiophene were utilized as π bridges to develop multifunctional PTAs. STB with thiophene as a π bridge, in particular, benefiting from stronger donor-accepter (D-A) interactions, reduced the singlet-triplet energy gap (ΔES1-T1), allowed more free intramolecular rotation, and exhibited outstanding near-infrared (NIR) emission, effective type-I reactive oxygen species (ROS) generation, and relatively high photothermal conversion efficiency (PCE) of 51.9%. In vitro and in vivo experiments demonstrated that positive-charged STB not only can actively target the mitochondria of tumor cells but also displayed strong antitumor effects and excellent in vivo imaging ability. This work subtly established a win-win strategy by π bridge engineering, breaking the barrier of making a balance between ROS generation and photothermal conversion, boosting a dual enhancement of PDT and PTT performance, and stimulating the development of multimodal imaging-guided precise cancer phototherapy.

Topik & Kata Kunci

Penulis (10)

L

Laiping Fang

Q

Qi Meng

Y

Yuan Zhang

R

Rui Su

F

Fan Xing

H

Hualei Yang

Y

Yuzhu Hou

P

Ping’an Ma

K

Keke Huang

S

Shouhua Feng

Format Sitasi

Fang, L., Meng, Q., Zhang, Y., Su, R., Xing, F., Yang, H. et al. (2023). π Bridge Engineering-Boosted Dual Enhancement of Type-I Photodynamic and Photothermal Performance for Mitochondria-Targeting Multimodal Phototheranostics of Tumor.. https://doi.org/10.1021/acsnano.3c06542

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Lihat di Sumber doi.org/10.1021/acsnano.3c06542
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
44×
Sumber Database
Semantic Scholar
DOI
10.1021/acsnano.3c06542
Akses
Open Access ✓