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Quad-Model Imaging-Guided High-Efficiency Phototherapy Based on Upconversion Nanoparticles and ZnFe2O4 Integrated Graphene Oxide.
Bi, Huiting; He, Fei; Dai, Yunlu; Xu, Jiating; Dong, Yushan; Yang, Dan; Gai, Shili; Li, Li; Li, Chunxia; Yang, Piaoping.
Affiliation
  • Li C; Key Laboratory of the Ministry of Education for Advanced Catalysis Materials , Zhejiang Normal University , Jinhua , Zhejiang 321004 , P. R. China.
Inorg Chem ; 57(16): 9988-9998, 2018 Aug 20.
Article in En | MEDLINE | ID: mdl-30070830
ABSTRACT
The strategy of diagnosis-to-therapy to realize the integration of imaging and high antitumor efficiency has become the most promising method. Light-induced therapeutic technologies have drawn considerable interest. However, the limited penetration depth of UV/vis excitation and relatively low efficiency are the main obstacles for its further clinic application. For this concern, we presented a facile method to anchor ultrasmall ZnFe2O4 nanoparticles and upconversion luminescence nanoparticles (UCNPs) on graphene oxide (GO) nanosheets (GO/ZnFe2O4/UCNPs, abbreviated as GZUC). To solve the penetration question, here we introduced Tm3+-doped UCNPs to convert the high-penetrated near-infrared (NIR) light into UV/vis photons to activate the photodynamic process. In this system, the dual phototherapy from GO and ZnFe2O4 has been realized upon NIR laser irradiation. Combined with the photodynamic therapy (PDT) based on Fenton reaction that ZnFe2O4 nanoparticles react with excessive H2O2 in tumor microenvironment to produce toxic hydroxyl radicals (·OH), an excellent anticancer efficiency has been achieved. Furthermore, 4-fold imaging including upconversion luminescence (UCL), computed tomography (CT), magnetic resonance imaging (MRI) and photoacoustic tomography (PAT) has been obtained due to its intrinsic properties, thereby successfully realizing diagnosis-monitored therapy. Our demonstration provided a feasible strategy to solve the main problems in current light-triggered theranostic.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Inorg Chem Year: 2018 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Inorg Chem Year: 2018 Type: Article