Viscometers for Biopharmaceutical Therapeutics & Protein Applications

Proteins-and-small-samplesDrug formulation and research are rapidly advancing segments of the biopharmaceutical industry. Protein-based drugs are the fastest growing class of drugs for the treatment of many diseases in humans, ranging from cancer to Alzheimer’s disease. Accurate viscosity values of proteins are essential in understanding behavior, designing delivery systems, and accurately determining particle size. 

VROC® systems deliver accurate and reliable viscosity data that is required to understand behaviors of antibodies and proteins. By applying a wide range of measurement cells, thermal jackets, and syringes, VROC® technology can perform with a wide range of viscosities and shear rates.

The unique VROC® technology uses a chip with a rectangular slit formed with glass and a monolithic Si pressure sensor array. By combining MEMS with microfluidic methods, VROC® delivers data with the smallest sample volumes, highest accuracy, and repeatability.

Our applications include:

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Viscosity of Cellular Suspensions

"In brief, we used the RheoSense to measure the viscosity of cellular suspensions. Our goal was to determine the dilution factor needed for the cell suspension to match a running buffer. As demonstrated in the graph this happens around a 10 fold sample dilution factor. Consistent sample viscosity will enable CytoVale to develop robust cellular assays for our core applications involving the high throughput mechanical measurement of cells. 

The RheoSense viscometer enabled us to quickly and accurately measure small aliqouts of sample which was necessary due to limited amounts of biological material. Additionally the low volume allowed us to gather many replicates of data in order to accurately assess biological variability between and across samples. This capability allowed us to have much more robust data collection and higher sample sizes for each point on the curve as compared to using traditional capillary viscometry. "

– Annie Jensen, Cytovale

CytoVale_RheoSense_Data

 
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