Opening book details…
Can I read Mesoporous Carbon Nanoenzyme as Nano-booster for Photothermal-enhanced Photodynamic Therapy Compared with Graphene Oxide on EtoBox?
Mesoporous Carbon Nanoenzyme as Nano-booster for Photothermal-enhanced Photodynamic Therapy Compared with Graphene Oxide by Shuaipeng Feng; Jiahong Wang; Xiaoyang Mu; Guanliang Gu; Yufei Wang; Junya Lu; Siling Wang; Qinfu Zhao is a Materials Science article available to read on EtoBox.
What is Mesoporous Carbon Nanoenzyme as Nano-booster for Photothermal-enhanced Photodynamic Therapy Compared with Graphene Oxide about?
The over-expressed GSH in tumor microenvironment significantly weakens the lethal reactive oxygen species (ROS) generated by photodynamic therapy (PDT) and catalysis of nanoenzyme. Hence, it is necessary to excavate a versatile and effective vehicle with oxidative stress-enhancement and GSH-depletion capacity to break the redox homeostasis in tumor microenvironment. GO has been reported to possess GSH-depletion and peroxidase (POD)-like capacity. Based on this, PEGylated mesoporous carbon (MC-PEG) was prepared as ICG vehicle to compare with PEGylated graphene oxide (GO-PEG). Excitingly, MC-PEG was found to exhibit three times higher oxidative capacity by POD-like process than GO-PEG, and owned more effective and continuous GSH-depletion capacity to further amplify the oxidative stress. Meanwhile, MC-PEG exhibited better protective effect on the loaded ICG against unwanted light excitation than GO-PEG. Together with the higher photothermal conversion effect, under the NIR light irradiation, MC-PEG could markedly improve the temperature of tumor cells and produce more hydroxyl radical, continuously consume GSH and provide more better protection for ICG compared with GO-PEG, thus furt
Who reads Mesoporous Carbon Nanoenzyme as Nano-booster for Photothermal-enhanced Photodynamic Therapy Compared with Graphene Oxide?
It is typically read by researchers, students, and practitioners in Materials Science.
- Author
- Shuaipeng Feng; Jiahong Wang; Xiaoyang Mu; Guanliang Gu; Yufei Wang; Junya Lu; Siling Wang; Qinfu Zhao
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Materials Science (Physical Sciences)