Liposome size analysis by dynamic/static light scattering upon size exclusion-/field flow-fractionation.

The aim of the current study was to analyse the particle size distribution of a liposome dispersion, which contained small egg phosphatidylcholine vesicles and had been prepared by high-pressure homogenisation, by various size analysis techniques. Such liposomes were chosen since they can be looked at as a prototype of drug nano-carriers. Three sub-micron particle size analysis techniques were employed: (1) fixed-angle quasi-elastic laser light scattering or photon correlation spectroscopy (PCS), (2) size exclusion chromatographic (SEC) fractionation with subsequent (off-line) PCS size-analysis and quantification of the amount of particles present in the sub-fractions, and (3) field-flow-fractionation coupled on-line with a static light scattering and a refractive index (RI)-detector. When designing liposome-based drug carrier systems, a reliable and reproducible analysis of their size and size distribution is of paramount importance: Not only does liposome size influence the nanocarrier's in-vitro characteristics such as drug loading capacity, aggregation and sedimentation but also it is generally acknowledged that the pharmacokinetic behaviour and biodistribution of the carrier is strongly size-dependent. All three approaches of liposome size analysis used here were found to yield useful results, although they were not fully congruent. PCS indicated either a broad, mono-modal, log-normal size distribution in the range of below 20 to over 200 nm in diameter, or alternatively, a bimodal distribution with two discrete peaks at 30 to 70 nm and 100 to over 200 nm. Which of the two distribution models represented the best fit depended primarily on the data collection times used. In contrast, both fractionating techniques revealed a size distribution with a large, narrow peak well below 50 nm and a minor, broad, overlapping peak or tail extending to over 100 nm in diameter. The observed differences in liposome size distribution may be explained by the inherent limitations of the different size analysis techniques, such as the detection limit and the fact that PCS is overemphasizing bigger particle sizes.