An Interlaboratory Comparison on the Characterization of a Sub-micrometer Polydisperse Particle Dispersion
| Autor: | Franziska Schleinzer, Dennis T. Yang, Dean C. Ripple, Nazar Filonov, Pascal Chalus, Tapan K. Das, Kurt D. Benkstein, Ashwinkumar A. Bhirde, Stefan Romeijn, Fook Chiong Cheong, Sambit R. Kar, Laura A. Philips, Christine Probst, Adam D. Grabarek, Nicole S. Gill, Maciej Jarzebski, Yoen Joo Kim, David L. Duewer, Miguel Saggu, Andrew D. Hollingsworth, Gurusamy Balakrishnan, Judith Hadley, Vikram Kestens, Yannic Ramaye, Anja Matter, Wesley W. Howard, Theodore W. Randolph, Ngoc Do, Jan Kuba Tatarkiewicz, David G. Grier, Heather Anne Wright, Patrick Garidel, Atanas Koulov, Wim Jiskoot, Jared R. Snell, Harshit Khasa |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | J Pharm Sci Journal of Pharmaceutical Sciences |
| Popis: | The measurement of polydisperse protein aggregates and particles in biotherapeutics remains a challenge, especially for particles with diameters of ≈ 1 µm and below (sub-micrometer). This paper describes an interlaboratory comparison with the goal of assessing the measurement variability for the characterization of a sub-micrometer polydisperse particle dispersion composed of five sub-populations of poly(methyl methacrylate) (PMMA) and silica beads. The study included 20 participating laboratories from industry, academia, and government, and a variety of state-of-the-art particle-counting instruments. The received datasets were organized by instrument class to enable comparison of intralaboratory and interlaboratory performance. The main findings included high variability between datasets from different laboratories, with coefficients of variation from 13 % to 189 %. Intralaboratory variability was, on average, 37 % of the interlaboratory variability for an instrument class and particle sub-population. Drop-offs at either end of the size range and poor agreement on maximum counts of particle sub-populations were noted. The mean distributions from an instrument class, however, showed the size-coverage range for that class. The study shows that a poly-disperse sample can be used to assess performance capabilities of an instrument set-up (including hardware, software, and user settings) and provides guidance for the development of polydisperse reference materials. |
| Databáze: | OpenAIRE |
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