RESEARCH THEME 01

Intelligent Bioprocess Engineering

Advancing integrated, continuous, autonomous and sustainable biomanufacturing.

Overview

Authentic integrated experimental platform for automated microfluidic processing

At SIBES, Intelligent Bioprocess Engineering integrates biological systems, process intensification, microfluidics and computational intelligence.

Our goal is to connect upstream and downstream operations—including synthesis, enzymatic processing, filtration, chromatography and concentration—with monitoring and prediction technologies for efficient, reproducible and resource-conscious manufacturing.

Particular research interests include mRNA and saRNA manufacturing and transferable approaches for other biological products. Digital Twins and advanced AI-driven closed-loop manufacturing are emerging directions, not claimed as completed technologies.

Connected process architecture

Conceptual workflow of intelligent bioprocess engineering for nucleic acid manufacturing

This conceptual figure summarizes the SIBES Theme 1 workflow from nucleic acid synthesis and purification to PAT-enabled monitoring, chemometrics, machine learning, Digital Twin modelling and closed-loop process optimization.

The figure is used here as a research-theme overview and represents a conceptual, image-led summary of the theme.

Research focus areas

Continuous bioprocessing

Continuous bioprocessing

Integrating modular upstream and downstream operations for intensified and automated production.

Microfluidics and process intensification

Microfluidics and process intensification

Microscale reactors, oscillatory flows, mixing, mass transfer and integrated separation.

Nucleic acid manufacturing

Nucleic acid manufacturing

In vitro transcription, DNA removal, capture, concentration and future saRNA-related process development.

Process Analytical Technology (PAT)

Process Analytical Technology (PAT)

Exploring in-line and at-line measurements of process variables and quality attributes.

Original analytical instrumentation and monitoring concept

Chemometrics and machine learning

Multivariate modelling, soft sensors, anomaly detection, quality prediction and optimization.

Proposed integrated PAT, chemometrics and Digital Twin manufacturing framework

Hybrid Digital Twins

Mechanistic and data-driven simulation, state estimation, scenario testing and model-informed control.