Liposome Characterizatio by FFF–MALS–QELS

Liposomes are made of lipid bilayers and are often used in drug delivery by encapsulating the core with therapeutic drugs. During liposome research, formulation, manufacturing, and quality control, it is of great importance to monitor liposome size and encapsulation. Field flow fractionation (FFF) with the concomitant use of multi-angle light scattering (MALS) and quasi-elastic light scattering (QELS, aka dynamic light scattering) is an ideal tool for such characterization.

Here, we report the analytical results of two liposome samples, one empty, and one filled. Using the Eclipse FFF system followed by a DAWN HELEOS (with embedded WyattQELS instrumentation), the FFF method was optimized with the aid of Wyatt ISIS FFF simulation software. The online QELS directly measures the hydrodynamic radius, R_h, whereas the HELEOS measures the root-mean square radius, R_g.

The WyattQELS detector was placed at approximately 143° in order to extend the R_h measurement up to 300 nm. Both R_g and R_h are plotted against elution time in Figure 1. The results from duplicate runs demonstrate excellent reproducibility of the FFF–MALS–QELS method. Figure 1 also shows that the R_h values for both empty and filled liposomes are well overlaid, suggesting the separation is based on hydrodynamic radius as expected from an FFF separation. However, R_g values for these two liposomes do not overlay, which indicates these two liposomes have different degrees of encapsulation.

Figure 1

Root-mean square radii, R_g, were then plotted against hydrodynamic radii, R_h, for these two liposomes. The slope of R_g vs. R_h plot yields the internal structure of the liposomes. The empty liposome sample has a slope of 1.0, consistent with a spherical shell structure. The filled liposome sample, on the other hand, has a slope of 0.75, in good agreement with that of a solid sphere structure of uniform density.

Figure 2

For liposomes or other nanoparticles, FFF–MALS–QELS provides an easily adaptable yet powerful characterization tool to obtain information on particle size, size distribution, particle count, as well as structure — all without making assumptions about the particles or their composition.

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