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Drug loading augmentation in polymeric nanoparticles using a coaxial turbulent jet mixer: Yong investigator perspective.

Authors :
Lim JM
Cai T
Mandaric S
Chopra S
Han H
Jang S
Il Choi W
Langer R
Farokhzad OC
Karnik R
Source :
Journal of colloid and interface science [J Colloid Interface Sci] 2019 Mar 07; Vol. 538, pp. 45-50. Date of Electronic Publication: 2018 Nov 10.
Publication Year :
2019

Abstract

Hypothesis: In conventional 'bulk' nanoprecipitation, the capacity to load hydrophobic drugs into the polymeric nanoparticles (NPs) is limited to about 1%. The size distribution of the resulting NPs becomes polydisperse when higher precursor concentration is used to increase the drug loading. Hence, it should be possible to enhance the hydrophobic drug loading in polymeric NPs while maintaining the uniform NP size distribution by optimizing the nanoprecipitation process and purification process.<br />Experiments: Systematic studies were performed to enhance the loading of docetaxel (Dtxl) by using a process of centrifugal spin-down, rapid mixing by turbulence, and addition of co-solvent. The size distributions and Dtxl loading of the NPs were measured using dynamic light scattering and HPLC, respectively.<br />Findings: The centrifugal spin-down process helps to maintain uniform size distribution even at the high precursor concentration. In bulk nanoprecipitation, the resulting NPs achieved Dtxl loading up to 3.2%. By adopting turbulence for rapid mixing, the loading of Dtxl increased to 4.4%. By adding hexane as co-solvent, the loading of Dtxl further increased to 5.5%. Because of the drug loading augmentation, high degree of control, and extremely high production rate, the developed method may be useful for industrial-scale production of personalized nanomedicines by nanoprecipitation.<br /> (Copyright © 2018 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1095-7103
Volume :
538
Database :
MEDLINE
Journal :
Journal of colloid and interface science
Publication Type :
Academic Journal
Accession number :
30500466
Full Text :
https://doi.org/10.1016/j.jcis.2018.11.029