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

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Abstract

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.

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Correspondence to Martin Brandl.

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Frantzen, C.B., Ingebrigtsen, L., Skar, M. et al. Assessing the accuracy of routine photon correlation spectroscopy analysis of heterogeneous size distributions. AAPS PharmSciTech 4, 36 (2003). https://doi.org/10.1208/pt040336

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  • DOI: https://doi.org/10.1208/pt040336

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