Biocatalysis is currently a workhorse used to produce a wide array of compounds, from bulk
to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely …

In process engineering, two paradigms of modeling approaches exist: the mechanistic and
the data-driven approaches with the former being completely based on knowledge while the …

Hybrid modelling, ie, the combination of data-driven modelling with mechanistic model
components, reduces the data demand and enables extrapolation of data-driven models …

Background Modern genome editing enables rapid construction of genetic variants, which
are further developed in Design-Build-Test-Learn cycles. To operate such cycles in high …

Industrial Robots and Multi-axis Machines have become increasingly popular in recent
years, in a diverse range of industries. These complex and expensive machines are …

In 2020, the Covid-19 pandemic resulted in a worldwide challenge without an evident
solution. Many persons and authorities involved befriended the value of available data and …

We discuss the application of a nonlinear model predictive control (MPC) and moving
horizon estimation (MHE) framework to achieve optimal operation of E. coli fed-batch …

In bioprocess development, the host and the genetic construct for a new biomanufacturing
process are selected in the early developmental stages. This decision, made at the …

Multi-wavelength (2D) fluorescence spectroscopy represents an important step towards
exploiting the monitoring potential of microtiter plates (MTPs) during early-stage bioprocess …

Multi-enzymatic reactions can successfully replace complex chemical syntheses, using
milder reaction conditions, and generating less waste. The present model-based analysis …