Literature DB >> 24370624

Effect of solution properties on the counting and sizing of subvisible particle standards as measured by light obscuration and digital imaging methods.

Tobias Werk1, David B Volkin2, Hanns-Christian Mahler3.   

Abstract

PURPOSE: Protein formulations may contain subvisible particle (SbVP) impurities that can vary (e.g., in number, size, shape, density, refractive index and transparency) depending on the formulation composition, environmental stresses and the type of protein. Additionally formulation solutions may differ in their physical properties including turbidity, color, viscosity, density and refractive index. This study examined the impact of these formulation matrix parameters on the ability to size and count subvisible particles using a variety of analytical methods including two light obscuration (HIAC, Syringe) and two digital imaging instruments (MFI®, FlowCAM®). Several subvisible particle standards were tested, including polystyrene and glass beads as well as a new pseudo-protein particle standard, in order to also study of the effect of subvisible particles with different properties.
RESULTS: The color and turbidity of solutions generally had a relatively small effect on SbVP sizing and counting. Solution viscosity and refractive index (RI), however, showed a more pronounced effect on the analytical results, especially with more translucent particles such as glass beads and the "pseudo protein standards", resulting in smaller sizes and lower counts of SbVPs, especially when measuring particles using light obscuration methods.
CONCLUSIONS: Each instrument showed certain advantages and disadvantages depending on the analytical parameter (i.e., accuracy, precision), type of subvisible particle, and solution properties. Based on these results, it is recommended to not only carefully consider physical solution parameters as part of analytical method assessment for counting and sizing SbVP in protein dosage forms, but also in terms of various typical QC validation parameters using actual protein formulations.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coloration; Flow imaging; Light obscuration; Turbidity; Viscosity

Mesh:

Substances:

Year:  2013        PMID: 24370624     DOI: 10.1016/j.ejps.2013.12.014

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  11 in total

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Journal:  Pharm Res       Date:  2015-10-16       Impact factor: 4.200

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3.  A Comprehensive Assessment of All-Oleate Polysorbate 80: Free Fatty Acid Particle Formation, Interfacial Protection and Oxidative Degradation.

Authors:  Nidhi Doshi; Jamie Giddings; Lin Luis; Arthur Wu; Kyle Ritchie; Wenqiang Liu; Wayman Chan; Rosalynn Taing; Jeff Chu; Alavattam Sreedhara; Aadithya Kannan; Pervina Kei; Ian Shieh; Tobias Graf; Mark Hu
Journal:  Pharm Res       Date:  2021-03-12       Impact factor: 4.200

4.  Microparticles and Nanoparticles Delivered in Intravenous Saline and in an Intravenous Solution of a Therapeutic Antibody Product.

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Journal:  Pharm Res       Date:  2022-01-26       Impact factor: 4.200

6.  Evaluating a Modified High Purity Polysorbate 20 Designed to Reduce the Risk of Free Fatty Acid Particle Formation.

Authors:  Nidhi Doshi; Kyle Ritchie; Tamanna Shobha; Jamie Giddings; Kathrin Gregoritza; Rosalynn Taing; Stephen Rumbelow; Jeff Chu; Anthony Tomlinson; Aadithya Kannan; Miguel Saggu; Si Kai Cai; Victor Nicoulin; Wenqiang Liu; Steve Russell; Lin Luis; Sandeep Yadav
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7.  Correcting the Relative Bias of Light Obscuration and Flow Imaging Particle Counters.

Authors:  Dean C Ripple; Zhishang Hu
Journal:  Pharm Res       Date:  2015-11-10       Impact factor: 4.200

8.  Identification of Subvisible Particles in Biopharmaceutical Formulations Using Raman Spectroscopy Provides Insight into Polysorbate 20 Degradation Pathway.

Authors:  Miguel Saggu; Jun Liu; Ankit Patel
Journal:  Pharm Res       Date:  2015-03-14       Impact factor: 4.200

9.  Evaluation of Microflow Digital Imaging Particle Analysis for Sub-Visible Particles Formulated with an Opaque Vaccine Adjuvant.

Authors:  Grant E Frahm; Alex W T Pochopsky; Tessa M Clarke; Michael J W Johnston
Journal:  PLoS One       Date:  2016-02-29       Impact factor: 3.240

10.  Label-Free, Flow-Imaging Methods for Determination of Cell Concentration and Viability.

Authors:  A S Sediq; R Klem; M R Nejadnik; P Meij; Wim Jiskoot
Journal:  Pharm Res       Date:  2018-05-30       Impact factor: 4.200

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