Fostered by novel analytical techniques, digitalization, and automation, modern bioprocess
development provides large amounts of heterogeneous experimental data, containing …

The robustness of bioprocesses is becoming increasingly important. The main driving forces
of this development are, in particular, increasing demands on product purities as well as …

Isogenic cell populations can cope with stress conditions by switching to alternative
phenotypes. Even if it can lead to increased fitness in a natural context, this feature is …

Introduction: Hybrid modeling combining First-Principles with machine learning is becoming
a pivotal methodology for Biopharma 4.0 enactment. Chinese Hamster Ovary (CHO) cells …

Gradients in dissolved gas concentrations are expected to affect the performance of large
reactors for anaerobic gas (CO, H 2, CO 2) fermentation. To study how these gradients, and …

The field of industrial biotechnology has shown an increasing interest in adopting digital
twins for improving process productivity and management efficiency. Despite its potential …

One of the human endeavors to understand nature is to decipher natural objects, such as
biology, to form novelties, such as in biotechnology. The descriptions then have a model …

The combination of physical equations with deep learning is becoming a promising
methodology for bioprocess digitalization. In this paper, we investigate for the first time the …

Genetically encoded fluorescent biosensors have emerged as a powerful tool to support
phenotypic screenings of microbes. Optical analyses of fluorescent sensor signals from …

The pH and substrate-to-inoculum ratio (S/I) are important parameters in the anaerobic
fermentation of agroindustrial residues, and therefore the optimization of these two …