2015
DOI: 10.1002/jps.24530
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Characterisation of Stress-Induced Aggregate Size Distributions and Morphological Changes of a Bi-Specific Antibody Using Orthogonal Techniques

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Cited by 14 publications
(15 citation statements)
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“…7,8,49,51 Like NTA, DLS is sensitive to smaller particles than holographic characterization. As a sample-averaged measurement, however, DLS does not inherently account for heterogeneity in sample composition.…”
Section: Discussionmentioning
confidence: 99%
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“…7,8,49,51 Like NTA, DLS is sensitive to smaller particles than holographic characterization. As a sample-averaged measurement, however, DLS does not inherently account for heterogeneity in sample composition.…”
Section: Discussionmentioning
confidence: 99%
“…Established particle-characterization technologies such as dynamic light scattering (DLS) work well for in situ characterization of submicrometer-scale aggregates but are less effective for larger subvisible aggregates. 7,8 Other techniques, such as microflow imaging (MFI), 9,10 are better suited for aggregates larger than a micrometer or so 8,10 but do not provide information on composition. Comparatively few established techniques probe the size and composition of protein aggregates in the subvisible range from 100 nm to 10 μm.…”
Section: Introductionmentioning
confidence: 99%
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“…The number of runs was optimized for each sample prior to the initiation of measurements (a minimum of 10 runs was performed per measurement). The diffusion coefficient and the particle diameter by the cumulant method were calculated from the autocorrelation function using Dynamics software (Wyatt Technology) 50 .…”
Section: Methodsmentioning
confidence: 99%
“…These developing in silico approaches complement established accelerated stress studies that are performed in vitro to predict the shelf‐life and stability of biologics (Jain et al, 2017; Yang et al, 2013). Various methods are employed to generate such data including heating (Cheng et al, 2012; Hamrang et al, 2015), stirring (Luo et al, 2011; Sediq, Van Duijvenvoorde, Jiskoot, & Nejadnik, 2016), shaking (Kiese, Papppenberger, Friess, & Mahler, 2008; Rudiuk, Cohen‐Tannoudji, Huille, & Tribet, 2012), and simulation of transportation (Fleischman, Chung, Paul, & Lewus, 2017). The extent of aggregation, however, can be heavily dependent on the type of accelerated stress employed (Fleischman et al, 2017; Joubert, Luo, Nashed‐Samuel, Wypych, & Narhi, 2011; Tamizi & Jouyban, 2016).…”
Section: Introductionmentioning
confidence: 99%