Celignis launch new Bioprocess Framework

Celignis recently launched a new bioprocess optimisation service that reduces the time and financial costs compared with conventional optimisation approaches. This is done by combining theoretical modelling with experimental work and rapid analytical tools. The new Celignis Bioprocess Framework builds on the company's existing core strengths of biomass analysis, analytical method development, enzyme and microbial expertise, computational data, and data analysis.

Effectively-implemented optimisations of industrial bioprocesses can lead to massive improvements in process yields, productivity, and sustainability. These often lead to significant advances in the competitiveness and profitability of the companies that implement them. However, each bioprocess, feedstock and microorganism is unique, which presents challenges to be overcome and requires customised optimisation methods.

The Celignis Bioprocess Framework proposes a hybrid innovative modelling framework that utilises data-driven models and empiric data collection from Celignis’s labs for bioprocess monitoring, parameter estimation, and optimisation. Compared to traditional optimisation methods, data-driven models and machine learning enable highly accurate bioprocess control and bioprocess parameter optimisation. This enables the company to rapidly characterise multiple process parameters, including mixing time, agitator types, temperature profile, pH profile, feed profile for fed-batch and continuous fermentation, and off-gas profile.

Recent projects have helped clients increase yields by up to 22%, demonstrating the value of this new Framework.

Celignis are currently welcoming enquiries from potential clients across industry or academia