Direct preparation of drug-loaded mesoporous silica nanoparticles by sequential flash nanoprecipitation

Journal Article (2020)
Author(s)

Zhinan Fu (East China University of Science and Technology)

Li Li (East China University of Science and Technology)

Yiming Wang (TU Delft - ChemE/Advanced Soft Matter, East China University of Science and Technology)

Qiaolin Chen (East China University of Science and Technology)

Fang Zhao (East China University of Science and Technology)

Liheng Dai (East China University of Science and Technology)

Zhuo Chen (East China University of Science and Technology)

Dianhua Liu (East China University of Science and Technology)

Xuhong Guo (East China University of Science and Technology, Shihezi University)

Research Group
ChemE/Advanced Soft Matter
DOI related publication
https://doi.org/10.1016/j.cej.2019.122905
More Info
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Publication Year
2020
Language
English
Research Group
ChemE/Advanced Soft Matter
Journal title
Chemical Engineering Journal
Volume number
382
Article number
122905
Downloads counter
266

Abstract

The present work demonstrates how drug-loaded mesoporous silica nanoparticles (MSNPs) can be prepared by a sequential flash nanoprecipitation (FNP) technique. A sequential FNP technique is developed relying on a combination of two multi-inlet vortex mixers (MIVM), by which a continuous process that involves the formation of micelle-based templates followed by an in situ formation of MSNPs is achieved. Moreover, a widely used biological nematicide, abamectin (Abm), is added during the formation of micelles, ultimately leading to Abm-loaded MSNPs with high encapsulation efficiency. The obtained Abm-loaded MSNPs show excellent stability and inhibition activity against the livability of Meloidogyne incognita. Importantly, the parameters of the resulting MSNPs, such as silica shell thickness and inner cavity size of MSNPs, can be easily controlled by tuning the compositions of the reactant streams. We believe that such a simple approach towards direct preparation of drug-loaded MSNPs would find promising up-scale applications in various fields, such as drug delivery, bioimaging, and formulation technology.

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