Finding the best Equation for concentration substance

In summary, the conversation discusses the search for the best equation for drug administration and presents two options - one involving slowly building up the dosage over time and the other involving a maximum effective dose followed by smaller doses. The latter equation is presented as Ys=Yse^-kT+Yd, where Ys is the saturation level and Yd is the small dose. It is suggested that incorporating model assumptions and experimental data may lead to a more effective equation.
  • #1
jackscholar
75
0

Homework Statement


I need to find the best equation possible for administration of a drug. I have found two types of equations; the first is by starting with a dose (d) and adding that same dose so that it builds up slowly over time. This is shown as the equation y(T)=de^(-kT) where T is the time interval between the dosages, e is the exponential constant and k is a proportionality constant.

Or there is the second option where the first dose is the maximum effective dose followed by smaller doses to 'top up' the concentration to the maximum. The maximum effective dosage is denoted by
Ys=d/1-e^-kT
where Ys is the saturation level
Therefore the equation for this method would be Ys=Yse^-kT+Yd where the small dose is d. Are there any equations more effective than the latter?
 
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  • #2
jackscholar said:

Homework Statement


I need to find the best equation possible for administration of a drug. I have found two types of equations; the first is by starting with a dose (d) and adding that same dose so that it builds up slowly over time. This is shown as the equation y(T)=de^(-kT) where T is the time interval between the dosages, e is the exponential constant and k is a proportionality constant.

Or there is the second option where the first dose is the maximum effective dose followed by smaller doses to 'top up' the concentration to the maximum. The maximum effective dosage is denoted by
Ys=d/1-e^-kT
where Ys is the saturation level
Therefore the equation for this method would be Ys=Yse^-kT+Yd where the small dose is d. Are there any equations more effective than the latter?

You cannot arrive at the best drug dosage by pure mathematics!
You have to have a model of at least some rough assumptions about how the drug works, and what happens to the drug. E.g. is it excreted or metabolised, and do the rates of those processes depend on its concentration in the bloodstream or what, are there any thresholds, in what way is it administered and if e.g. orally do you know anything about how much and and what rate it goes into the bloodstream. Are there any experimental data that cam be incorporated in a model. Are there any risks or side effects that can be incorporated? Then a model or simulation could be attempted. Though common sense could probably take you most of the way.

That said, medicine can profit from, does need, mathematics and has always needed it.
 
Last edited:
  • #3
jackscholar said:

Homework Statement


I need to find the best equation possible for administration of a drug. I have found two types of equations; the first is by starting with a dose (d) and adding that same dose so that it builds up slowly over time. This is shown as the equation y(T)=de^(-kT) where T is the time interval between the dosages, e is the exponential constant and k is a proportionality constant.

Or there is the second option where the first dose is the maximum effective dose followed by smaller doses to 'top up' the concentration to the maximum. The maximum effective dosage is denoted by
Ys=d/1-e^-kT
where Ys is the saturation level
Therefore the equation for this method would be Ys=Yse^-kT+Yd where the small dose is d. Are there any equations more effective than the latter?

I second the remarks of 'epenguin'.

You can easily do a Google search on 'drug concentration equation' and come up with loads of useful material. For example, see
http://www.mhprofessional.com/downloads/products/0071476288/BauerCh2.pdf (which has numerous formulas at the end, depending on scenarios and model details)
or
http://www.intmath.com/blog/math-of-drugs-and-bodies-pharmacokinetics/4098
(which looks at the effects of the five steps in the body: liberation, absorption, distribution, metabolism and secretion) and obtains/solves a differential equation for concentration vs. time.
 

1. What is the importance of finding the best equation for concentration of a substance?

The concentration of a substance is a crucial factor in many scientific experiments and processes. It allows us to accurately measure and control the amount of the substance present, which can greatly impact the outcome of the experiment. Therefore, finding the best equation for concentration can help ensure the accuracy and reliability of our results.

2. How is the best equation for concentration determined?

The best equation for concentration is determined through a process of trial and error, where different equations are tested and compared to determine which one best fits the data and provides the most precise and accurate results. This process may also involve mathematical calculations and statistical analysis to evaluate the equation's performance.

3. Can any equation be used to calculate concentration?

No, not all equations can be used to calculate concentration. The equation used must be appropriate for the type of substance being measured and the experimental conditions. For example, some equations are specific to solutions, while others are suitable for gases or solids. It is important to select the correct equation for the specific substance and conditions being studied.

4. What factors can affect the accuracy of the concentration equation?

There are several factors that can impact the accuracy of the concentration equation, such as experimental errors, measurement limitations, and external influences. It is crucial to carefully consider and control these factors to ensure the reliability of the equation and the resulting concentration values.

5. Can the best equation for concentration change over time?

Yes, the best equation for concentration may change over time as new data is collected and analyzed. It is important to regularly review and reassess the equation being used to ensure it is still the most accurate and appropriate for the given substance and conditions. Additionally, advancements in technology and scientific understanding may lead to the development of better equations for concentration in the future.

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