Literature DB >> 27773525

Silicone Migration From Baked-on Silicone Layers. Particle Characterization in Placebo and Protein Solutions.

Stefanie Funke1, Julia Matilainen2, Heiko Nalenz2, Karoline Bechtold-Peters2, Hanns-Christian Mahler2, Wolfgang Friess3.   

Abstract

A significant number of therapeutic proteins are marketed as pre-filled syringes or other drug/device combination products and have been safely used in these formats for years. Silicone oil, which is used as lubricant, can migrate into the drug product and may interact with therapeutic proteins. In this study, particles in the size range of 0.2-5 μm and ≥1 μm as determined by resonant mass measurement and micro-flow imaging/light obscuration, respectively, resulted from silicone sloughing off the container barrel after agitation. The degree of droplet formation correlated well with the applied baked-on silicone levels of 13 μg and 94 μg per cartridge. Silicone migration was comparable in placebo, 2 mg/mL and 33 mg/mL IgG1 formulations containing 0.04% (w/v) polysorbate 20. Headspace substantially increased the formation of silicone droplets during agitation. The highest particle concentrations reached, however, were still very low compared to numbers described for spray-on siliconized containers. When applying adequate baked-on silicone levels below 100 μg, bake-on siliconization efficiently limits silicone migration into the drug product without compromising device functionality.
Copyright © 2016 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

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Keywords:  IgG antibody; biopharmaceutical characterization; injectors; light scattering (dynamic); materials science; ophthalmic drug delivery; particle size; protein formulation; proteins; surfactants

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Year:  2016        PMID: 27773525     DOI: 10.1016/j.xphs.2016.08.031

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


  1 in total

1.  Method to Determine Syringe Silicone Oil Layer Heterogeneity and Investigation of its Impact on Product Particle Counts.

Authors:  Michelle Cua; Daniel Martin; Patricia Meza; Gianni Torraca; Thomas Pearson; Shawn Cao; Changhuei Yang
Journal:  J Pharm Sci       Date:  2020-07-15       Impact factor: 3.534

  1 in total

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