Abstract:Monitoring and control of pH is essential for the control of reaction conditions and reaction progress for any biocatalytic or biotechnological process. Microfluidic enzymatic reactors are increasingly proposed for process development, however typically lack instrumentation, such as pH monitoring. We present a microfluidic side-entry reactor (µSER) and demonstrate for the first time real-time pH monitoring of the progression of an enzymatic reaction in a microfluidic reactor as a first step towards achieving p… Show more
“…With A imm and d h set, the effect of varied τ res defines the relevant operational window for STY , X , and P out . We note that many studies of biocatalysis in microreactors are done with the goal of decreasing the reaction time for a certain conversion X . If not more, the kind of analysis presented here reveals the best‐case possibilities.…”
Continuous (flow) reactors have drawn a wave of renewed interest in biocatalysis. Many studies find that the flow reactor offers enhanced conversion efficiency. What the reported reaction intensification actually consists in, however, often remains obscure. Here, a canonical microreactor design for heterogeneously catalyzed continuous biotransformations, featuring flow microchannels that contain the enzyme immobilized on their wall surface are examined. Glycosylations by sucrose phosphorylase are used to assess the potential for reaction intensification due to microscale effects. Key variables are identified, and their corresponding relationship equations, to describe, and optimize, the interplay between reaction characteristics, microchannel geometry and reactor operation. The maximum space-time-yield (STY_max) scales directly with the enzyme activity immobilized on the available wall surface. Timescale analysis, comparing the characteristic times of reaction (τ ) and diffusion (τ ) to the mean residence time (τ ), reveals operational conditions for optimum reactor output. Theoretical insight into determinants of microreactor performance is applied to biocatalytic syntheses of α-d-glucose 1-phosphate and α-glucosyl glycerol. Process boundaries for enzyme showing, respectively, high (80 U mg ) and low (4 U mg ) specific activities are thus established and options for process design revealed. Opportunities, and limitations, of the application of principles of microscale flow chemistry to biocatalytic transformations are made evident.
“…With A imm and d h set, the effect of varied τ res defines the relevant operational window for STY , X , and P out . We note that many studies of biocatalysis in microreactors are done with the goal of decreasing the reaction time for a certain conversion X . If not more, the kind of analysis presented here reveals the best‐case possibilities.…”
Continuous (flow) reactors have drawn a wave of renewed interest in biocatalysis. Many studies find that the flow reactor offers enhanced conversion efficiency. What the reported reaction intensification actually consists in, however, often remains obscure. Here, a canonical microreactor design for heterogeneously catalyzed continuous biotransformations, featuring flow microchannels that contain the enzyme immobilized on their wall surface are examined. Glycosylations by sucrose phosphorylase are used to assess the potential for reaction intensification due to microscale effects. Key variables are identified, and their corresponding relationship equations, to describe, and optimize, the interplay between reaction characteristics, microchannel geometry and reactor operation. The maximum space-time-yield (STY_max) scales directly with the enzyme activity immobilized on the available wall surface. Timescale analysis, comparing the characteristic times of reaction (τ ) and diffusion (τ ) to the mean residence time (τ ), reveals operational conditions for optimum reactor output. Theoretical insight into determinants of microreactor performance is applied to biocatalytic syntheses of α-d-glucose 1-phosphate and α-glucosyl glycerol. Process boundaries for enzyme showing, respectively, high (80 U mg ) and low (4 U mg ) specific activities are thus established and options for process design revealed. Opportunities, and limitations, of the application of principles of microscale flow chemistry to biocatalytic transformations are made evident.
“…Microfluidic devices nowadays are wellestablished experimental tools for process characterisation due to the precise control over the microenvironment and the possibility to integrate analytical tools. [33][34][35][36] These systems have been used extensively to study upstream bioprocessing steps, [37][38][39][40][41] but the number of reports of microfluidic devices developed to study process optimisation of downstream processing steps, such as purification and separation of biomolecules, is still limited. 27,[42][43][44][45][46][47][48] In downstream bioprocessing, flocculation has attracted renewed interest but suitable analytical tools to comprehensively understand the flocculation mechanism have been absent.…”
Flocculation is a key purification step in cell-based processes for the food and pharmaceutical industry where the removal of cells and cellular debris is aided by adding flocculating agents. However, finding the best suited flocculating agent and optimal conditions to achieve rapid and effective flocculation is a nontrivial task. In conventional analytical systems, turbulent mixing creates a dynamic equilibrium between floc growth and breakage, constraining the determination of floc formation rates. Furthermore, these systems typically rely on end-point measurements only. We have successfully developed for the first time a microfluidic system for the study of flocculation under well controlled conditions. In our microfluidic device (μFLOC), floc sizes and growth rates were monitored in real time using high-speed imaging and computational image analysis. The on-line and in situ detection allowed quantification of floc sizes and their growth kinetics. This eliminated the issues of sample handling, sample dispersion, and end-point measurements.We demonstrated the power of this approach by quantifying the growth rates of floc formation under forty different growth conditions by varying industrially relevant flocculating agents (pDADMAC, PEI, PEG), their concentration and dosage. Growth rates between 12.2 μm s −1 for a strongly cationic flocculant (pDADMAC) and 0.6 μm s −1 for a non-ionic flocculant (PEG) were observed, demonstrating the potential to rank flocculating conditions in a quantitative way. We have therefore created a screening tool to efficiently compare flocculating agents and rapidly find the best flocculating condition, which will significantly accelerate early bioprocess development.
“…Recently, the first real‐time pH monitoring in a microfluidic side‐entry reactor was reported as a first step towards achieving pH control. Additionally, fluidic inputs along the reaction channel were implemented to adjust the pH due to an acid formation, which significantly improved the product yield …”
Section: Microfluidics For High‐throughput Process Parameters Estimationmentioning
confidence: 99%
“…Enzymatic conversions comprising liquid‐liquid or gas‐liquid‐solid systems can gain significant transport intensification in microstructured reactors. Highly controlled fluid flow in microscale devices enabling the creation of a variety of fluid flow regimes of immiscible fluids can lead to enlargement of the interfacial area and thereby mass transfer intensification . Process intensification can be estimated from time‐scale analysis in which the mean residence time, the reaction time, and the diffusion time are compared .…”
Section: Microflow Processing For Biocatalytic Process Intensificationmentioning
The challenges of transition toward the postpetroleum world shed light on the biocatalysis as the most sustainable way for the valorization of biobased raw materials. However, its industrial exploitation strongly relies on integration with innovative technologies such as microscale processing. Microflow devices remarkably accelerate biocatalyst screening and engineering, as well as evaluation of process parameters, and intensify biocatalytic processes in multiphase systems. The inherent feature of microfluidic devices to operate in a continuous mode brings additional interest for their use in chemoenzymatic cascade systems and in connection with the downstream processing units. Further steps toward automation and analytics integration, as well as computer‐assisted process development, will significantly affect the industrial implementation of biocatalysis and fulfill the promises of the bioeconomy. This review provides an overview of recent examples on implementation of microfluidic devices into various stages of biocatalytic process development comprising ultrahigh‐throughput biocatalyst screening, highly efficient biocatalytic process design including specific immobilization techniques for long‐term biocatalyst use, integration with other (bio)chemical steps, and/or downstream processing.
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