Team:DTU-Denmark/Reactor Model

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(The Reactor)
(The Reactor)
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[[File:DTU_mod_2e.png|190px|center]]
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We can split the molar flow rate of species j into concentration of species j times flow. The reaction rate is dependent on the substrate concentration and can be described with Michaelis-Menten kinetics in our case: [[File:DTU_modeling_Rj.png|200px]]. So we can calculate the volume of the first reactor for series of different flow rates and substrate concentrations.
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We can split the molar flow rate of species j into concentration of species j times flow. The reaction rate is dependent on the substrate concentration and can be described with Michaelis-Menten kinetics in our case: [[File:DTU_modeling_Rj.png|150px]]. So we can calculate the volume of the first reactor for series of different flow rates and substrate concentrations.
To include the right enzyme concentration we need to estimate how many cells per litre we will have in the reactor and how many enzymes each cell will contain. It was estimated that the cells take up 40% of the volume in the reactor and that they contain 750 copies of each protein of the pathway (see above) resulting in a enzyme concentration of 2.4917•10<sup>-4</sup> mmol/l.
To include the right enzyme concentration we need to estimate how many cells per litre we will have in the reactor and how many enzymes each cell will contain. It was estimated that the cells take up 40% of the volume in the reactor and that they contain 750 copies of each protein of the pathway (see above) resulting in a enzyme concentration of 2.4917•10<sup>-4</sup> mmol/l.
However this equation does not allow a complete removal of the substrate ammonia from the system.
However this equation does not allow a complete removal of the substrate ammonia from the system.

Revision as of 12:14, 4 October 2013

Contents


The Reactor

Summary

With our genetically engineered E. coli we want to treat ammonia polluted waste water. The fastest way to do this would be in a continuous process like a continuous stirred tank reactor (CSTR). Ideally this process would generate an amount of nitrous oxide that is so large that the energy needed for running the system can be delivered by catalytically decomposing the nitrous oxide. We are planing to test a simple CSTR system but hold the engineered E. coli back in the reactor, so that the outgoing water is free of bacteria. Also we will need to use two CSTRs in sequence because the second mutant requires anaerobic conditions. A picture of two CSTR reactors in series can be found in Figure 1. Another interesting solution would be to grow a bacterial biofilm on solid carriers as shown in Figure 2, a technology known as moving bed biofilm reactor.

DTU modeling 2CSTR.png

Figure 1: Two CSTRs in series.


DTU mod 2c.png

Figure 2: In moving bed biofilm reactors the biofilm is grown on carriers as shown above. The picture is taken from http://www.hydrotech-group.com/en/products/industrial-wwtp/mbbr/.

A CSTR can be balanced using the following equation [4]:

DTU mod 2a.pngDTU mod 2d.png


For a CSTR perfect mixing is assumed, which means that the concentrations of all compounds are the same everywhere in the reactor and also at the exit point. If the system is run in steady state the so called design equation can be used to calculate the necessary volume of the reactor:

DTU mod 2e.png

We can split the molar flow rate of species j into concentration of species j times flow. The reaction rate is dependent on the substrate concentration and can be described with Michaelis-Menten kinetics in our case: DTU modeling Rj.png. So we can calculate the volume of the first reactor for series of different flow rates and substrate concentrations. To include the right enzyme concentration we need to estimate how many cells per litre we will have in the reactor and how many enzymes each cell will contain. It was estimated that the cells take up 40% of the volume in the reactor and that they contain 750 copies of each protein of the pathway (see above) resulting in a enzyme concentration of 2.4917•10-4 mmol/l. However this equation does not allow a complete removal of the substrate ammonia from the system.

In a different approach the reactors were was not assumed to be in steady state but modelled by using the mass balance equation given above. The equations of the model are shown below and the plots of substrate and product concentration for different flows and volumes of the reactors can be found in Figures 3-4. The system was simulated for 1000 min (which corresponds to several cell generations) to assure it to be very close to steady state (or in steady state).

DTU mod 2g.png

DTU-fig6a.jpgDTU-fig6b.jpg

Figure 3: Substrate and product concentration in CSTR reactor 1 (ammonia to nitrite) for different flow rates and reactor volumes. The simulation time was 1000 min to assure that the system is very close to steady state.

References

[1] WK Keener and DJ Arp. Kinetic studies of ammonia monooxygenase inhibition in Nitrosomonas europaea by hydrocarbons and halogenated hydrocarbons in an optimized whole-cell assay. Applied and Environmental Microbiology, 59(8): 2501–2510, 1993.

DTU-fig7a.jpgDTU-fig7b.jpg

Figure 4: Substrate and product concentration in CSTR reactor 2 (from nitrite to nitrous oxide) for different flow rates and reactor volumes. The simulation time was 1000 min to assure that the system is very close to steady state.


[2] Serena Rinaldo. Biology of the Nitrogen Cycle. Francesca Cutruzzola, 2007 (37-55).

[3] SW Snyder and TC Hollocher. Purification and some characteristics of nitrous oxide reductase from paracoccus denitrificans. Journal of Biological Chemistry, 262: 6515–6525, 1987.

[4] H. Scott Fogler. Essentials of Chemical Reaction Engineering. Prentice Hall, 2010.