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Mathaes, Roman; Manning, Mark Cornell; Winter, Gerhard; Engert, Julia; Wilson, Glenn A. (2020): Shape Characterization of Subvisible Particles Using Dynamic Imaging Analysis. In: Journal of Pharmaceutical Sciences, Vol. 109, No. 1: pp. 375-379
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Abstract

Protein aggregates and subvisible particles (SbvP), inherently present in all marketed protein drug products, have received increasing attention by health authorities. Dynamic imaging analysis was introduced to visualize SbvP and facilitate understanding of their origin. The educational United States Pharmacopeia chapter < 1787 > emphasizes that dynamic imaging analysis could be used for morphology measurements in the size range of 4-100 mu m. However, adequate morphology characterization, as suggested in the United States Pharmacopeia < 1787 > proposed size range, remains challenging as nonspherical size standards are not commercially available. In this study, a homogenous and well-defined nonspherical particle standard was fabricated and used to investigate the capabilities of 2 dynamic imaging analysis systems (microflow imaging (MFI) and FlowCAM) to characterize SbvP shape in the size range of 2-10 mu m. The actual aspect ratio of the SbvP was measured by scanning electron microscopy and compared to the results obtained by dynamic imaging analysis. The test procedure was used to assess the accuracy in determining the shape characteristics of the nonspherical particles. In general, dynamic imaging analysis showed decreasing accuracy in morphology characterization for 5 mu m and 2 mu m particles. The test procedure was also capable to compare and evaluate differences between the 2 dynamic imaging methods. The present study should help to define ranges of operation for dynamic imaging analysis systems. (C) 2020 American Pharmacists Association (R).