Identification of chromatographical characteristics of complicated biological feeds

Abstract

In order to use mechanistic models in chromatography, model parameters must be exact. Mechanistic models have a difficult time simulating the harvest of cleared cells. Another major roadblock is a lack of specimen complex and time to establish all of the desired criteria. This research was done in order to develop a process that starts with complex feedstock, such as monoclonal antibodies, and then uses an automated liquid handling system to complete the process step by step. Several sets of data were compared to mechanical typical estimates based on the data collected during this study. An almost perfect match between predicted and actual results bolstered the method's credibility. For larger-scale column predictions, the RoboColumns 200 L bed volume can be effectively used to regulate isotherm parameters. Modeling complex biological feedstocks using mechanistic chromatographic methods can greatly benefit from this approach because it offers a new way to discover critical model input parameters.