4.7 Article

Combining gas-phase electrophoretic mobility molecular analysis (GEMMA), light scattering, field flow fractionation and cryo electron microscopy in a multidimensional approach to characterize liposomal carrier vesicles

期刊

INTERNATIONAL JOURNAL OF PHARMACEUTICS
卷 513, 期 1-2, 页码 309-318

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ijpharm.2016.09.049

关键词

Liposome; Gas-phase electrophoretic mobility molecular analysis; Transmission electron microscopy; Dynamic light scattering; Cytotoxicity; Flow field flow fractionation

资金

  1. Swedish Society for Medical Research
  2. Austrian Science Fund (FWF) [P25749-B20]
  3. Austrian Science Fund (FWF) [P25749] Funding Source: Austrian Science Fund (FWF)
  4. Austrian Science Fund (FWF) [P 25749] Funding Source: researchfish

向作者/读者索取更多资源

For drug delivery, characterization of liposomes regarding size, particle number concentrations, occurrence of low-sized liposome artefacts and drug encapsulation are of importance to understand their pharmacodynamic properties. In our study, we aimed to demonstrate the applicability of nano Electrospray Gas-Phase Electrophoretic Mobility Molecular Analyser (nES GEMMA) as a suitable technique for analyzing these parameters. We measured number-based particle concentrations, identified differences in size between nominally identical liposomal samples, and detected the presence of low-diameter material which yielded bimodal particle size distributions. Subsequently, we compared these findings to dynamic light scattering (DLS) data and results from light scattering experiments coupled to Asymmetric Flow-Field Flow Fractionation (AF4), the latter improving the detectability of smaller particles in polydisperse samples due to a size separation step prior detection. However, the bimodal size distribution could not be detected due to method inherent limitations. In contrast, cryo transmission electron microscopy corroborated nES GEMMA results. Hence, gas-phase electrophoresis proved to be a versatile tool for liposome characterization as it could analyze both vesicle size and size distribution. Finally, a correlation of nES GEMMA results with cell viability experiments was carried out to demonstrate the importance of liposome batch-to-batch control as low-sized sample components possibly impact cell viability. (C) 2016 The Authors. Published by Elsevier B.V.

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