4.6 Article

Investigation of the Post-Synthetic Confinement of Fluorous Liquids Inside Mesoporous Silica Nanoparticles

期刊

LANGMUIR
卷 37, 期 17, 页码 5222-5231

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.langmuir.1c00167

关键词

-

资金

  1. Research Cottrell Scholar Grant [23733]
  2. IPrime
  3. NSF REU Summer Lando Program
  4. NSF through the MRSEC program
  5. Graham N. Gleysteen Fellowship
  6. Institute for Engineering in Medicine Doctoral Fellowship
  7. Hiawatha Education Foundation Scholarship

向作者/读者索取更多资源

This study investigated the impact of various parameters on the entrapment of PFC filled nanoparticles, revealing that sonication time had the strongest correlation with loading efficiency. However, the current model does not fully explain the loading capabilities, indicating a need for further research to explore confounding variables and more finely controlled parameters.
Perfluorocarbon (PFC) filled nanoparticles are increasingly being investigated for various biomedical applications. Common approaches for PFC liquid entrapment involve surfactant-based emulsification and Pickering emulsions. Alternatively, PFC liquids are capable of being entrapped inside hollow nanoparticles via a postsynthetic loading method (PSLM). While the methodology for the PSLM is straightforward, the effect each loading parameter has on the PFC entrapment has yet to be investigated. Previous work revealed incomplete filling of the hollow nanoparticles. Changing the loading parameters was expected to influence the ability of the PFC to fill the core of the nanoparticles. Hence, it would be possible to model the loading mechanism and determine the influence each factor has on PFC entrapment by tracking the change in loading yield and efficiency of PFC-filled nanoparticles. Herein, neat PFC liquid was loaded into silica nanoparticles and extracted into aqueous phases while varying the sonication time, concentration of nanoparticles, volume ratio between aqueous and fluorous phases, and pH of the extraction water. Loading yields and efficiency were determined via F-19 nuclear magnetic resonance and N-2 physisorption isotherms. Sonication time was indicated to have the strongest correlation to loading yield and efficiency; however, method validation revealed that the current model does not fully explain the loading capabilities of the PSLM. Confounding variables and more finely controlled parameters need to be considered to better predict the behavior and loading capacity by the PSLM and warrants further study.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据