2018
DOI: 10.1021/acs.iecr.8b00666
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Microfluidic Diffusion Analysis of the Size Distribution and Microrheological Properties of Antibody Solutions at High Concentrations

Abstract: The size distribution and the rheological properties of dispersions of biological colloids are relevant quality attributes for a variety of industrial applications, including pharmaceutical, food, and cosmetic products. For instance, the biophysical properties of monoclonal antibodies and therapeutic proteins, which represent an important class of drugs in the pharmaceutical market, are important for their safety and efficacy. In this work, we apply a microfluidic diffusion platform to analyze protein sizes an… Show more

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Cited by 20 publications
(19 citation statements)
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“…A first urgent step in this direction is the standardization of characterization techniques for EVs, capable of simultaneously monitoring both physical and biochemical properties with high throughput. In this context, in analogy with analytics for therapeutic proteins, microfluidic technology is emerging as an attractive platform for the characterization of EVs …”
Section: Discussionmentioning
confidence: 99%
“…A first urgent step in this direction is the standardization of characterization techniques for EVs, capable of simultaneously monitoring both physical and biochemical properties with high throughput. In this context, in analogy with analytics for therapeutic proteins, microfluidic technology is emerging as an attractive platform for the characterization of EVs …”
Section: Discussionmentioning
confidence: 99%
“…The experimental concentration profiles were analyzed following the approach previously described. [ 27–29,46,47 ] Briefly, a library of concentration profiles Bri${B^{{r_i}}}$ was created for a range of particles of known sizes r i by solving the diffusion advection equation within the channel boundaries. [ 46 ] The experimental concentration profiles P(t) integrated over the channel height were extracted from the acquired images at the 12 positions (Figure 2a,b).…”
Section: Methodsmentioning
confidence: 99%
“…The relative weights of the linear combination were determined by a basin-hopping algorithm implemented in Python with 2500 random displacements. The coefficients c i were constrained to a sum of two Gaussian distributions [28,29]…”
Section: Preparation Ofmentioning
confidence: 99%
“… In particular, techniques capable of analysing aggregates in the submicron range are emerging, based for instance on diffusion measurements, light scattering, mass measurement, microfluidics and other techniques [117][118][119][120][121][122][123][124][125][126][127] . This is important since these submicron species appear to be characterized by high immunogenic risks 128,129 , in addition to risks from micron size subvisible particles [130][131][132] .…”
Section: Current Trendsmentioning
confidence: 99%