An adaptive modeling approach using spiking ‐augmentation method to improve chemometric model performance in bioprocess monitoring

In this study, we developed an adaptive modeling strategy: the model was initially built using a calibration set of available perfusate and CB samples and then updated by augmenting spiking samples of the new molecules to the calibration set to make the model robust against perfusate or CB harvest of the new molecule. This strategy substantially improved the model performance and significantly reduced the modeling effort for new molecules.

Source: Biotechnology Progress - April 27, 2023 Category: Biotechnology Authors: Yuxiang Zhao, Yawen Tang, Dhanuka Wasalathanthri, Jianlin Xu, Julia Ding Tags: RESEARCH ARTICLE Source Type: research