Soft Sensor Design for Bioreactor Monitoring and Control

Giving the cells what they need when they need it: Biosensor‐based feeding control

“…Common sensors available in industrial bioreactors most often focus on the monitoring of a small number of so‐called “process variables” (e.g., pH, OD, dissolved oxygen [DO] concentration, etc.). In the last two decades, more advanced analytical technologies (e.g., chromatography, spectrometry, spectroscopy) have attracted increasing interest for the monitoring of more complex physicochemical parameters, specifically for the measurement of metabolites and cell concentrations (Esmonde‐White et al, 2017; Mandenius & Gustavsson, 2016; Ryder, 2018). While these techniques were initially not suitable for automated monitoring systems, due to limitations in data processing and analysis time, continuous advances in these fields are now paving the way toward tools with the capacity of measuring multiple metabolites and compounds of interest in situ and in real‐time (Dietzsch et al, 2013).…”

Robust method for chromatogram shape analysis to improve early detection of performance drifts and adverse changes in process parameters during purification column operations

“…Several recent examples for the implementation of PAT have demonstrated the feasibility and benefits of investing in such approach. [2][3][4][5] While some of these examples have focused on implementing new in-line/at-line instruments and sensors, [6][7][8][9][10][11][12][13][14][15] others have focused on how to best utilize the available data to make predictions and real-time decisions using multivariate analysis. [8,[16][17][18][19][20][21][22][23][24] Biotechnology processes often consist of several unit operations fed by multiple input parameters.…”