Hi all,
When I used the baranyi and huang models to estimate the experimental enzyme activity data, when the experimental activity values reached a certain level, the models did not estimate the experimental data and failed the calculations. Microsoft Office program was used for calculations. What could be the reason? I would appreciate it if you would share your views and suggestions on this situation.
Regards,
mustafa
Hello Dr. Mustafa Germeç , if you have some issue using Microsoft Office programs, then I can prefer some other Application software to you for this purpose that is;
Can use more efficiently for Experimental Work. It has more accuracy and reliability. I can provide you the links to all of above.
- 1- https://getintopc.com/softwares/development/matlab-2019-free-download-1235282/
- 2- https://getintopc.com/softwares/maths/maplesoft-maple-2019-free-download/
- 3- https://getintopc.com/softwares/3d-cad/originpro-2019-free-download/
- Muhammad Sinan
Hello Dr. Mustafa Germeç ,
I suggest that you fix the value of n as n =1 and the value of m as m=1 (logistic limitation at the transition to the stationary phase). I agree with Muhammad's suggestions, these software have more accuracy and reliability.
Besides that,
You can do a free fit test on two software:
For the Baranyi and Roberts' model: https://browser.combase.cc/membership/Login.aspx?ReturnUrl=%2f
For the Huang model: https://www.ars.usda.gov/northeast-area/wyndmoor-pa/eastern-regional-research-center/docs/ipmp-global-fit/
Hope that helps!
Good luck
-Wiaslan Martins
Hi Mustafa Germeç,
Could you explain a bit more what you mean by "failed the calculations"?
There are several reasons why it may fail. One of them is that the Excel solver is not the most efficient method for parameter estimation. If that's the case, the use of the tools suggested by Wiaslan Figueiredo Martins would help.
A second possible reason is that the model is not suitable to describe your data. The Baranyi and Huang growth models are usually used for microbial growth, but you mention that you are studying enzyme activity. I am not familiar with that particular field, but if your data does not have a sigmoid shape, neither the Baranyi nor the Huang model will be able to describe the data.
A third reason could be parameter identifiability. It is possible that the model is suitable for your data, but the quality/quantity of your data is not enough to estimate every model parameter. A typical example is when you are trying to fit the model but your data did not reach the stationary phase. In that case, the parameter describing the carrying capacity (ymax in Baranyi) cannot be estimated.
Parameter identifiability is a rather complex topic. There is a very nice article by Vilaes et al. where they make a comprehensible description, describing common pitfalls and how to avoid them:
Article Toward predictive food process models: A protocol for parame...
As a summary, before trying to just fit the model with the online tools, I would make sure that the model is suitable to describe the data and that your data is good enough to estimate the model.
Alberto
Hi all
I agree entirely with Alberto Garre Perez! Great answer!
The article is very nice, thank you for sharing it!
Wiaslan
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