Thin Film Differential Photosensor for Reduction of Temperature Effects in Lab-on-Chip Applications

Microfluidic platform for rapid screening of bacterial cell lysis

Over the past decade significant progress has been found in the upstream production processes, shifting the main bottlenecks in current manufacturing platforms for biopharmaceuticals towards the downstream processing. Challenges in the purification process include reducing the production costs, developing robust and efficient purification processes as well as integrating both upstream and downstream processes. Microfluidic technologies have recently emerged as effective tools for expediting bioprocess design in a cost-effective manner, since a large number of variables can be evaluated in a small time frame, using reduced volumes and manpower. Their modularity also allows to integrate different unit operations into a single chip, and consequently to evaluate the effect of each stage on the overall process efficiency. This paper describes the development of a diffusion-based microfluidic device for the rapid screening of continuous chemical lysis conditions. The release of a recombinant green fluorescent protein (GFP) expressed in Escherichia coli (E. coli) was used as model system due to the simple evaluation of cell growth and product concentration by fluorescence. The concept can be further applied to any biopharmaceutical production platform. The microfluidic device was successfully used to test the lytic effect of both enzymatic and chemical lysis solutions, with lysis efficiency of about 60% and close to 100%, respectively, achieved. The microfluidic technology also demonstrated the ability to detect potential process issues, such as the increased viscosity related with the rapid release of genomic material, that can arise for specific lysis conditions and hinder the performance of a bioprocess. Finally, given the continuous operation of the lysis chip, the microfluidic technology has the potential to be integrated with other microfluidic modules in order to model a fully continuous biomanufacturing process on a chip.