Lkelly9 Week 6
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- Lauren M. Kelly
- Assignment Page
- Individual Journal Entry
- Shared Journal Page
Purpose
- The purpose of this assignment is to hypothesize what the impact of ammonium feet rate is on a quantity of interest in a chosen journal article and devise a system of differential equations that captures the important behaviors using state variables that are necessary to the process.
Workflow/Methods
- First, i picked one of the "Gaining a Better Understanding of the Fermentation/Respiration Switch" project and read the Albertin et al (2011) paper. Attached is a PDF of the notes that I took on this paper as I was reading it. I used these notes to better understand how different variables were related and write a system of differential equations.
- Based on the reading, I concluded that the relationship between nitrogen concentration, K (population limit), CO2 production (Vmax) was important in regards to the fermentation respiration switch.
Results
Hypothesis
- Based on the findings in the Albertin et al (2011) paper and our work in previous assignments, it can be inferred that the nitrogen consumption is positively correlated to K (maximum population) and Vmax (maximal CO2 production rate). Increasing K will increase the amount of nitrogen the yeast can consume and the amount of CO2 the yeast can produce. A multiplicative nutrient use model will be utilized to display this relationship.
- It is assumed that the yeast are being grown in a chemostat.
State Variables
Differential Equations
Explanation
Conclusion
Acknowledgements
- Worked with Cameron M. Rehmani Seraji in Seaver 120 on February 22nd.
- Referenced the Week 5 Assignment in order to figure out a set of equations.
- Except for what is noted above, this individual journal entry was completed by me and not copied from another source.
Lauren M. Kelly 21:56, 22 February 2017 (EST)
References
- Dahlquist, Kam D. (2017) BIOL398-05/S17:Week 6. Retrieved from http://www.openwetware.org/wiki/BIOL398-05/S17:Week_6 on 22 February 2017.
- Albertin, W., Marullo, P., Aigle, M., Dillmann, C., de Vienne, D., Bely, M., & Sicard, D. (2011). Population Size Drives Industrial Saccharomyces cerevisiae Alcoholic Fermentation and Is under Genetic Control . Applied and Environmental Microbiology, 77(8), 2772–2784. http://doi.org/10.1128/AEM.02547-10