After working on this exercise you will be able to....

1. prepare x(D) and s(D) diagrams for chemostat cultures starting from experimental data.

2. predict the influence of s_{in} and of the growth parameters on x(D) and s(D) curves.

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1 | Determine the nature of the task. |
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2 | Open the x,s(D)-simulation (Excel). | Simulation > Kontinuierliche Kultur - Chemostat > Files | |

3 | Take s |
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4 | Calculate Y |
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5 | Determine K_{s} using the µ(s)-graph of Kovarova et al. (1996). |
Example > Batchwachstum - unbeschränktes Wachstum und kinetische Limitation > Graphs | |

6 | Simulate x(D) and s(D) using the growth parameters and s |
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7 | Normalize the biomass concentrations measured during steady-state growth to the glucose concentration in the feed given in the protocol. |
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8 | Calculate the exact dilution rates using the flow rates applied and the volume of the cultivation liquid measured at the end of the experiment. | ||

9 | Introduce the residual glucose concentrations and the normalised biomass concentrations as a function of D into the Excel sheet x,s(D) simulation and compare with the x(D) and s(D) graphs simulated beforehand. |
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10 | Change Y_{x/s}, µ_{max}, K_{s} and m_{s} so that the best fit of simulated and measured curves is obtained. |
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11 | Formulate the mathematical model that describes best the experimental data of the chemostat experiments. | ||

12 | For each steady-state calculate the specific glucose consumtion rate q_{s}, the yield Y_{x/s} and the avareage dry weight per cell and represent the results as a function of D in an Excel graph. |
Example > Batchwachstum - Versuchsauswertung > How To 1 | |

13 | Summarise the results of all chemostat experiments. |