Advances in nano research

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Efficacy of nano-drugs in muscle injury rehabilitation and fatigue relief

  • Zicheng, Wang (Department of TCM, the Affiliated Hospital of Yangzhou University, Yangzhou University) ;
  • Yanqing, Liu (Department of TCM, the Affiliated Hospital of Yangzhou University, Yangzhou University) ;
  • Haibo, Wang (Medical College, Yangzhou University) ;
  • Dai, Liu (Department of TCM, the Affiliated Hospital of Yangzhou University, Yangzhou University) ;
  • Niuniu, Yang (Department of TCM, the Affiliated Hospital of Yangzhou University, Yangzhou University) ;
  • Mengying, Lv (Medical College, Yangzhou University)
  • Received : 2022.01.07
  • Accepted : 2022.07.12
  • Published : 2023.01.25
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Abstract

Gold nanoparticles have recognized a promising drug carriers in many diseases. These nanoparticles could carry anti-inflammatory drugs in the case of muscle injury and for fatigue relief. On the other hand, specific surface of this kind of nanoparticles could be critical in amount of drug they could carry. Therefore, in this study, we explore different methodology and influencing parameters on the specific surface of gold nanoparticles. After specifying the main parameters, different machine learning and artificial neural network are adopted to model the effects of different parameters. Furthermore, response surface methodology is utilized to obtain a quadrilateral relationship between different parameters and specific surface. The results indicate that concentration of the gold salt solution is the most important parameter in increasing the size of gold nanoparticle and, as a consequence, increasing specific surface. Moreover, the ability of gold nanoparticles in prolonging retention of the drugs is discussed in detail.

Keywords

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