Literature DB >> 25175016

Free fatty acid particles in protein formulations, part 1: microspectroscopic identification.

Xiaolin Cao1, R Matthew Fesinmeyer, Christopher J Pierini, Christine C Siska, Jennifer R Litowski, Stephen Brych, Zai-Qing Wen, Gerd R Kleemann.   

Abstract

We report, for the first time, the identification of fatty acid particles in formulations containing the surfactant polysorbate 20. These fatty acid particles were observed in multiple mAb formulations during their expected shelf life under recommended storage conditions. The fatty acid particles were granular or sand-like in morphology and were several microns in size. They could be identified by distinct IR bands, with additional confirmation from energy-dispersive X-ray spectroscopy analysis. The particles were readily distinguishable from protein particles by these methods. In addition, particles containing a mixture of protein and fatty acids were also identified, suggesting that the particulation pathways for the two particle types may not be distinct. The techniques and observations described will be useful for the correct identification of proteinaceous versus nonproteinaceous particles in pharmaceutical products.
© 2014 Wiley Periodicals, Inc. and the American Pharmacists Association.

Entities:  

Keywords:  FTIR; excipients; infrared spectroscopy; microparticles; microscopy; protein formulation

Mesh:

Substances:

Year:  2014        PMID: 25175016     DOI: 10.1002/jps.24126

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  4 in total

1.  Degradation Mechanisms of Polysorbate 20 Differentiated by 18O-labeling and Mass Spectrometry.

Authors:  Lin Zhang; Sandeep Yadav; Barthélemy Demeule; Y John Wang; Olivier Mozziconacci; Christian Schӧneich
Journal:  Pharm Res       Date:  2016-10-13       Impact factor: 4.200

2.  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

3.  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

4.  Combining Machine Learning and Backgrounded Membrane Imaging: A Case Study in Comparing and Classifying Different Types of Biopharmaceutically Relevant Particles.

Authors:  Christopher P Calderon; Ana Krhač Levačić; Constanze Helbig; Klaus Wuchner; Tim Menzen
Journal:  J Pharm Sci       Date:  2022-06-01       Impact factor: 3.784

  4 in total

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