4.6 Article

The preparation of mono- and multicomponent nanoparticle aggregates with layer-by-layer structure using emulsion templating method in microfluidics

期刊

CHEMICAL ENGINEERING SCIENCE
卷 247, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2021.117084

关键词

Nanoparticle aggregate; Colloidosome; Emulsion templating method; Microfluidic channel; CFD; N-butanol

资金

  1. Technology Agency of the Czech Republic [TJ02000357]
  2. grant of Specific university research [A1_FCHI_2021_005]
  3. Operational Programme Research, Development and Education
  4. European Structural and Investment Funds
  5. Czech Ministry of Education, Youth and Sports [SOLID21 CZ.02.1.01/0.0/0.0/16_019/0000760]

向作者/读者索取更多资源

Multicomponent hollow aggregates were prepared using an emulsion templating method adapted to microfluidic format, with IO and Au NPs in an inner inorganic shell covered with PCL NPs. Smaller aggregates were achieved compared to immiscible phases due to diffusion controlled shrinkage, with surface properties controlled by the mobilities and affinities of IO, Au, and PCL NPs. The biocompatible surface layer and inorganic shell with core space for cargo loading make these constructs advantageous for medicinal applications.
We report on the preparation of multicomponent hollow aggregates by an emulsion templating method adapted to microfluidic format. The method exploits partial miscibility of aqueous colloidal solutions as discrete phase and n-butanol as continuous phase. The aggregates consisted of an inner inorganic shell composed of iron oxide (IO) and gold nanoparticles (Au NPs) covered with polycaprolactone (PCL) NPs. The aggregates of smaller sizes were prepared compared to immiscible phases due to the diffusion controlled shrinkage of aqueous droplets. The aggregate surface properties were controlled by using different mobilities and affinities of IO, Au, and PCL NPs to the water:n-butanol interface. The biocompatible surface layer enclosing an inorganic shell with a core space for possible cargo loading endowed these constructs with properties appreciated in medicinal applications. A computational fluid dynamics model enabled the prediction of the droplet size and formation frequency together with flow field properties at the point of droplet detachment. (c) 2021 Elsevier Ltd. All rights reserved.

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