DATA ANALYTICS AND SOFT SENSORS FOR SINGLE USE BIOPROCESSING

摘要

In the last decades, innovative research and engineering brought birth to a plethora of robust and mature process analytical devices. Nowadays, the possibilities to extract chemical-, physical- and biological data from single use processes are manifold and a great quantity of process data is collected on a routine basis. However, novel challenges in the field of data processing and information mining emerged: How can the maximum information content be extracted from the combination of process analyzers? How can big process data be handled and exploited efficiently? And ultimately: How can this information be translated in a business benefit for the manufacturers? Here, we demonstrate how these challenges can be addressed within the bioprocess lifecycle using innovative mechanistic methods. We present ⅰ) novel non-invasive soft sensors for real-time monitoring of single use processes, ⅱ) information mining and process analysis based on the combination of mechanistic models and statistical tools and ⅲ) efficient and scalable process control strategies. Financial support was provided by the Austrian research funding association (FFG) under the scope of the COMET program within the research network "Process Analytical Chemistry (PAC)" (contract # 825340). This programme is promoted by BMVIT, BMWFJ and the federal state of Upper Austria.