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.

Assessing the accuracy of routine photon correlation spectroscopy analysis of heterogeneous size distributions.

The aim of the current study was to investigate the ability of a fixed-angle routine photon correlation spectrometer (PCS) to resolve bimodal size distributions. The focus was on dispersions consisting of a majority of smaller and a minority of bigger particles. Monodisperse latex beads of sizes from 21 to 269 nm were measured first as single-size dispersions and then with various binary blends. For single-size dispersions, the mean diameters obtained were as indicated by the manufacturer, except for 21- and 34-nm particles, which were somewhat smaller. PCS analysis of blends of 21 + 102-nm and 34 + 102-nm particles resulted in bimodal distributions with particle diameters of the 2 peaks in the expected magnitude down to critical blending ratios of 0.002% and 0.08% of bigger particles, respectively. At these ratios, PCS results became inconsistent, and an increased number of monomodal results and/or high residuals were seen. For 21 + 102-nm blends, at even smaller ratios (0.001%), more consistent results were obtained again with predominantly monomodal distributions in the size range of the smaller particles (ie, the bigger particles were neglected). PCS analysis of blends of 21 + 269-nm particles yielded bimodal distributions with diameters within the expected magnitude as long as the content of bigger particles did not exceed 0.005%. Above this ratio, predominantly monomodal results with mean diameters in the magnitude of the bigger particles were obtained (ie, the smaller particles were neglected). In conclusion, a routine PCS instrument can resolve bimodal size distributions of colloidal dispersions only at certain ratios of the 2 subpopulations. Both low and high ratios lead to 1 of the 2 subpopulations being neglected.