Hello dear colleagues,

There is a question to all fermentation specialists and for specialists in microbial growth modeling in fermenters.

In my article "S-shaped growth curves in fermentations and golden ratio", https://www.worldscientific.com/doi/abs/10.1142/S1793524520500199 , it was shown "at the tip of the pen" that the ratio Xp/XLim=Φ^2= 2.6180339887… for conditions of growth of microorganisms with oxygen limitation, where Xp is theoretical asymptotic maximum biomass concentration, [biomass units/volume units]; XLim is exponential growth phase end and beginning of GIP, [biomass units/volume units]. At the same time, it is necessary to have a clear understanding that the value of Хр differs from the value ХFinal, final biomass concentration, when total biomass, X, contains only non-dividing cells, Xst, and XFinal < Xp , [biomass units/volume units]; Xst is concentration of the biomass of zero age (stable) cells, [biomass units/volume units]; Xdiv = X − Xst is concentration of proliferating biomass, [biomass units/volume units]. Please see the Figure 1 from this article, see the link above.

Used for about 200 years in biochemistry and biometrics, the logistic curve postulates strictly mathematically the ratio Xp/XLim=2- again, please do not confuse it with the XFinal value, which is the beginning of the stationary growth phase or the phase of cell death, because Хfinal is a specific value from your experiments, but Хр is an asymptote.

Probably many of you know, that representatives of the professional community of astronomers and / or cosmologists are writing joint articles via the Internet with the number of authors up to 1000 or more. Therefore, I invite the professional community that deals with fermentation and mathematical modeling of fermentation to try to figure out the question what is the correct ratio of Xp/XLim - is it 2 or is it Φ^2? Do I have a mistake in my calculations? My practical experience of over 30 years in our field shows the answer is Φ^2. What could you personally say about your experience?

When you start preparing the answer to this question, I ask you not to forget about the "pitfalls" that may occur.

First of all, you must be sure on a basis of strong experimental data, when you analyze any of your fermentation, that you are dealing ONLY with oxygen limitation and other restrictions on the growth of bacteria / microorganisms / cells are completely absent. This is the first thing. Second, you need to be sure that the volume of the fermentation liquid in the reactor has not changed significantly in the reactor/fermenter during the fermentation from the start to finish and at OTR=const. Third, we are now discussing ONLY biomass growth without the limitations that will inevitably be available if your biomass produces large quantities of some useful product. For example, recombinant cells will not be the case that is useful for this my question. It is better to look at other possible restrictions right in my article.

I have absolutely no idea yet how I will process the data if my question gets a lot of responses. It is possible for me to do this easily when there are dozens, at most, hundreds of answers. But, if there are more, I have absolutely no idea what I will do with it. Perhaps the professional community will spontaneously do some structuring? On the other hand, the current dominant economic model in the world severely limits the number of responses due to data confidentiality. And only scientific academic divisions are more free for this kind of discussion. One of my reviewers for this article gave me a good word that this issue can be of great importance for industrial production. I want to add that this question is also of great scientific importance. First of all, for the reason that there is a need for additional verification of the logistic curve. It is known that this curve has no physical meaning, as well as the previously discussed J. Monod model . If together we can prove this also statistically, then together we will make a significant step forward in terms of the economic efficiency of microbiological production.

Considering the above, I ask you to put your "Likes" and to "Share" to maximize the spread of this post. Also, I ask you to give in your comments some of your ideas regarding my question on its essence and on how to get data from the interviewed colleagues and how best to be doing the processing of this data.

Regards,

Sergey P.Klykov,PhD,

[email protected] ,

February, 4,20201

More Sergey P. Klykov's questions See All
Similar questions and discussions