Influence of image analysis strategy, cooling rate, and sample volume on apparent protein cloud-point temperature determination.

ABSTRACT: The protein cloud-point temperature (T_Cloud) is a known representative of protein-protein interaction strength and provides valuable information during the development and characterization of protein-based products, such as biopharmaceutics. A high-throughput low volume T_Cloud detection method was introduced in preceding work, where it was concluded that the extracted value is an apparent T_Cloud (T_Cloud,app). As an understanding of the apparent nature is imperative to facilitate inter-study data comparability, the current work was performed to systematically evaluate the influence of 3 image analysis strategies and 2 experimental parameters (sample volume and cooling rate) on T_Cloud,app detection of lysozyme. Different image analysis s

SUBMITTER: Klijn ME 

PROVIDER: S-EPMC7889528 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature