The following report with recommendations is the result of an expert panel meeting on soft sensor applications in bioprocess engineering that was organized by the Measurement, Monitoring, Modelling and Control (M3C) Working Group of the European Federation of Biotechnology ‐ Section of Biochemical Engineering Science (ESBES). The aim of the panel was to provide an update on the present status of the subject and to identify critical needs and issues for the furthering of the successful development of soft sensor methods in bioprocess engineering research and for industrial applications, in particular with focus on biopharmaceutical applications. It concludes with a set of recommendations, which highlight current prospects for the extended use of soft sensors and those areas requiring development.

Monitoring of bioprocesses and thus observation and identification of such processes is one of the main aims of bioprocess engineering. It is of vital importance in bioprocess development to improve the overall productivity by avoiding unintentional limitations to ensure not only optimal process conditions but also the observation of established production processes. Furthermore, reproducibility needs to be improved and final product quality and quantity be guaranteed. Therefore, an advanced monitoring and control system has been developed, which is based on different in‐line, on‐line and at‐line measurements for substrates and products. Observation of cell viability applying in‐line radio frequency impedance measurement and on‐line determination of intracellular recombinant target protein using the reporter protein T‐Sapphire GFP based on in‐line fluorescence measurement show the ability for the detection of critical process states. In this way, the possibility for the on‐line recognition of optimal harvest times arises and disturbances in the scheduled process route can be perceived.

Here, we have studied the setup of an integrated bioprocess for the production of artificial Malaria vaccine candidates with Pichia pastoris. Production of pharmaceutically relevant proteins such as vaccines has high demands regarding protein processing in the bioreactor and for subsequent purification. To implement this challenging protein expression process, a highly instrumented bioreactor was configured for repeated fed batch cultivations and supplemented with an at‐line monitoring of the target protein production via HPLC. The integration of a fast in situ purification of the sensitive products using an expanded bed adsorption for a sequential integrated bioprocess allows cyclic product separation. Thus, a fully automated production of artificial malaria vaccines was achieved.

The successful development of optimal multistage production processes for recombinant products with Pichia pastoris needs to meet three pre-conditions. These pre-conditions are (i) strategies for performing fully automated and observable processes, (ii) characterization of the host cell-specific reaction parameters in order to make an adapted process layout for feeding and aeration strategies, and (iii) knowledge of optimal operation parameter conditions for maximizing the expression productivity of target protein amount and/or quality. In this report, an approach of a fully automated multi-bioreactor plant is described that meets all these requirements. The expression and secretion of a potential malaria vaccine with Pichia pastoris was chosen as an example to demonstrate the quality of the bioreactor system. Methods for the simultaneous identification of reaction kinetics were developed for strain characterization. Process optimization was carried out by applying a sequential/parallel Design of Experiments. In the view of Process Analytical Technology (PAT)-applications and in order to develop fully automated and globally observable production processes, methods for quasi on-line monitoring of recombinant protein secretion titers and the immunological quality of the products are also discussed in detail.

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