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Abstract
Silk nanoparticles have demonstrated utility across a range of biomedical applications, especially as drug delivery vehicles. Their fabrication by bottom-up methods such as nanoprecipitation, rather than top-down manufacture, can improve critical nanoparticle quality attributes. Here, we establish a simple semi-batch method using drop-by-drop nanoprecipitation at the lab scale that reduces special-cause variation and improves mixing efficiency. The stirring rate was an important parameter affecting nanoparticle size and yield (400 < 200 < 0 rpm), while the initial dropping height (5.5 vs 7.5 cm) directly affected nanoparticle yield. Varying the nanoparticle standing time in the mother liquor between 0 and 24 h did not significantly affect nanoparticle physicochemical properties, indicating that steric and charge stabilizations result in high-energy barriers for nanoparticle growth. Manufacture across all tested formulations achieved nanoparticles between 104 and 134 nm in size with high β-sheet content, spherical morphology, and stability in aqueous media for over 1 month at 4 °C. This semi-automated drop-by-drop, semi-batch silk desolvation offers an accessible, higher-throughput platform for standardization of parameters that are difficult to control using manual methodologies.
Original language | English |
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Pages (from-to) | 6748-6759 |
Number of pages | 12 |
Journal | ACS Biomaterials Science & Engineering |
Volume | 6 |
Issue number | 12 |
Early online date | 3 Nov 2020 |
DOIs | |
Publication status | Published - 14 Dec 2020 |
Keywords
- silk fibroin
- nanoprecipitation
- desolvation
- nanoparticle
- biopolymer
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Microfluidic-assisted manufacture of self-assembling silk nanoparticles
Precision Nanosystems Ltd, Medical Research Scotland
1/10/19 → 30/09/23
Project: Research - Studentship
Datasets
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Data for: "Silk nanoparticle manufacture in semi-batch format"
Matthew, S. (Creator), Totten, J. (Creator), Phuagkhaopong, S. (Creator), Egan, G. (Creator), Witte, K. (Creator), Perrie, Y. (Supervisor) & Seib, P. (Supervisor), University of Strathclyde, 20 Oct 2020
DOI: 10.15129/5731067a-a6a0-4ea1-bb3a-ed3eaa89368d
Dataset