Paper Info
Title
A comparison of emulsion-based and electrosprayed particle architectures to sustain the release of small hydrophilic agents
Abstract
Lipid and polymeric nanoparticles (NPs) have been utilized as drug delivery vehicles for a variety of applications. However, achieving the sustained-release of small hydrophilic agents is a primary challenge for their use in prolonged delivery applications. This study investigates how emulsion and electrospray processes, may be used to tailor the release profiles of small hydrophilic encapsulants. Here, poly(lactic-co-glycolic) acid (PLGA) NPs, incorporating rhodamine B (RhB) as a model small molecule hydrophilic agent, were produced via emulsion and electrospray techniques. The emulsion method was used to produce NPs with matrix architectures, while electrospraying produced NPs with either uniaxial (core) or coaxial (core-shell) architectures. Nanoparticles produced using the emulsion method were coated with a lipid layer using in situ assembly (one-step) or gentle hydration (post-synthesis, two-step), and the ability of these architectures to modulate the release of RhB was examined. We hypothesized that electrosprayed coaxial NP formulations would provide prolonged release of hydrophilic agents due to their more complex core-shell architecture. Coaxial core-shell NPs demonstrated high encapsulation efficiency (EE) (~90%) of RhB. In contrast, NPs fabricated via the emulsion process had a lower EE of ~70%, with the two-step lipid-coated NPs exhibiting a significantly lower EE of ~25%, likely due to RhB leaching during the fabrication process. Moreover, our data suggest that electrosprayed coaxial core-shell NPs, without a lipid coat, sustain the release of RhB, indicating their potential to extend the release of small molecule hydrophilic agents.
Year
DOI
Venue
2018
10.1109/ISSPIT.2018.8642677
2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
Keywords
Field
DocType
nanoparticles,lipid-polymer,electrospray,emulsion,drug release
Coaxial,Rhodamine B,Pattern recognition,Computer science,Emulsion,Small molecule,Lipid bilayer,Chemical engineering,Artificial intelligence,PLGA,Drug delivery,Nanoparticle
Conference
ISSN
ISBN
Citations 
2162-7843
978-1-5386-7568-7
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Keegan Curry100.34
Jill Steinbach-Rankins200.34