Team:UCL/Science/Bioprocessing

Bioprocess engineering is a conglomerate of fields and is extensively employed to optimize a variety of production processes. In order to cope with market forces, industries for example the pharmaceutical, have had to considerably improve their bioprocessing tools and techniques. As a result a range of novel process alternatives have been developed to harness product-specific properties, each bearing benefits, disadvantages and costs. While these can be used to drive financial returns, biological processing is becoming a gateway to eco-friendly alternatives for the treatment of recalcitrant wastewater such as industrial effluents. A typical bioprocess involves the fermentation of a stock culture (e.g. E. coli) at a small scale which is subsequently scaled up to suitable production capacities. The products from the fermentative stages are then separated using a variety of techniques designed to exploit the orthogonal properties of desired products.

The design of a successful bioprocess requires careful analysis of the many factors that impact choice of design parameters and process variables. It is crucial to consider the cost of the process at each stage to assess it's large scale feasibility. For the problem at hand, the following interplay will affect an industry's choice to adopt a novel process:

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Since our project involves designing a novel bioprocess using whole-cell biocatalysts, microfluidics presents us with a unique and extremely useful advantage. When it comes to identifying, developing and optimising reactor designs and reaction constraints, this can be performed with ease and with low reagent cost as all variables are scaled down to a micro-level. Most importantly, the scale-down can be carried out without losing any of the accuracy or quantification of data output; this is due the number of sensors and control mechanisms which can be integrated into the microfluidic system.

Since our project involves designing a novel bioprocess using whole-cell biocatalysts, microfluidics presents us with a unique and extremely useful advantage. When it comes to identifying, developing and optimising reactor designs and reaction constraints, this can be performed with ease and with low reagent cost as all variables are scaled down to a micro-level. Most importantly, the scale-down can be carried out without losing any of the accuracy or quantification of data output; this is due the number of sensors and control mechanisms which can be integrated into the microfluidic system.

Since our project involves designing a novel bioprocess using whole-cell biocatalysts, microfluidics presents us with a unique and extremely useful advantage. When it comes to identifying, developing and optimising reactor designs and reaction constraints, this can be performed with ease and with low reagent cost as all variables are scaled down to a micro-level. Most importantly, the scale-down can be carried out without losing any of the accuracy or quantification of data output; this is due the number of sensors and control mechanisms which can be integrated into the microfluidic system.

Since our project involves designing a novel bioprocess using whole-cell biocatalysts, microfluidics presents us with a unique and extremely useful advantage. When it comes to identifying, developing and optimising reactor designs and reaction constraints, this can be performed with ease and with low reagent cost as all variables are scaled down to a micro-level. Most importantly, the scale-down can be carried out without losing any of the accuracy or quantification of data output; this is due the number of sensors and control mechanisms which can be integrated into the microfluidic system.

We will use rapid polymer prototyping techniques to generate microfluidic chips that will allow us to test our reaction and aid in the construction of a realistic bioprocess, which can be successfully scaled-up for industrial use. As we optimise and change our bioprocess, we can also quickly design new microfluidic chips that can mimic its development on a micro-scale. For example, it is our goal to integrate multiple downstream steps, such as chromatography, in order to isolate potential useful products. Demonstrating this in a microfluidic system is less time-consuming and far more cost effective than doing so at a larger scale.

For our microfluidic bioreactor, we will be using a magnetic free floating bar as our mixing system. This is an effective method of mixing at a microfluidic scale, as demonstrated in the video on the right. This video is of a microfluidic chemostat bioreactor designed by Davies et al. 2014 UCL, using a free-floating bar to mix two dyes.

An example of one of our microfluidic devices designed on AutoCAD can be downloaded here. This device utilises the basic concept of mixing the cells and dyes, producing a single output stream; much alike to the bioprocessing concept. During the course of designing the microfluidic device, several key considerations must be taken into account: ability to withstand high pressure without leakage; materials of construction to be inert and transparent; size constraints of inlet and outlet piping; ability to accurately 3D-print the device.