WeChat Mini Program
Old Version Features

Modulating Pt Nanozyme by Using Isolated Cobalt Atoms to Enhance Catalytic Activity for Alleviating Osteoarthritis

Nano Today(2023)

Guangxi Med Univ

Cited 38|Views29
Abstract
Combining the synergistic effect of single-atom catalysts and nanoparticles (NPs) to improve the catalytic activity may be promising in the design of nanozymes, although it only applies in the field of electrocatalysis. Herein, we designed a polyatomic SOD and CAT-mimicking Pt/Co-SA-NSG nanozyme composed of ultrafine Pt NPs and Co-SA-NSG with atomically dispersed Co and N, S co-doped graphene for OA treatment. Results demonstrated the Pt/Co-SA-NSG nanozyme has dual active centers containing Co-N4 and Pt and effective scavenging effect of reactive oxygen species (ROS), possibly due to that the electron orbital overlap between Co single atoms and Pt NPs enhanced the electron transport interaction to increase the adsorption energy of free radicals and reduce the reaction energy. Based on the H2O2 induced chondrocytes and OA joint model, Pt/Co-SA-NSG nanozyme exhibited biosafety, high photothermal conversion performance (54.56%), excellent SOD and CAT-like enzyme activities, and ROS scavenging ability. Particularly, in combination with NIR II irradiation therapy, Pt/Co-SA-NSG nanozyme could greatly relieved the OA progression with a Pelletier Score reduction of 54.54%. Mechanistically, the Pt/Co-SA-NSG nanozyme can restore mitochondrial function, thereby regulate ATP level, so as to reduce inflammatory factors level and increase antioxidant factors level. This novel nanozyme was expected to guide the design and activity enhancement of other nanozymes in the future.
More
Translated text
Key words
Nanozymes,Pt NPs,Single atom,Synergy,Superoxide dismutase,Catalase,Density functional theory,Osteoarthritis
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined