Chapter 2

Background Mathematical Material

return to the Course index
previous | next

Calculus

Differential Calculus

Pharmacokinetics is the study of the rate of drug absorption and disposition in the body. Thus differential calculus is an important stepping stone in the development of many of the equations used. These differential equations can be integrated using a variety of techniques including Laplace transforms. However, in this course we won't be doing these integrations.

Differential calculus is involved with the study of rates of processes. The calculus part comes in when we look at these processes in detail, that is, during small time intervals.

We may say that at time zero a patient has a concentration of 25 mg/L of a drug in plasma and at time 24 hours the concentration is 5 mg/L. That may be interesting in itself, but it doesn't give us any idea of the concentration between 0 and 24 hours, or after 24 hours. Using differential calculus we are able to develop equations to look at the process during the small time intervals that make up the total time interval of 0 to 24 hours. Then we can calculate concentrations at any time after the dose is given.

In many cases the rate of elimination of a drug can be described as being dependent on or proportional to the amount of drug remaining to be eliminated. That is, the process obeys first order kinetics. This can illustrated by Figure 2.6.1.

Figure 2.6.1 Linear plot of Amount, X, versus Time

This can be described mathematically using Equation 2.6.1.

dX/dt equation

Equation 2.6.1. Rate of Change of X with Time

where k is a proportionality constant we call a rate constant and X is the amount remaining to be eliminated. Note the use of the symbol 'd' to represent a very small increment in X or t. Thus dX/dt represents the slope of the line (or rate of change) over a small region of the curved line, see Figure 2.6.1. When data are collected at discrete times such as 4 and 6 hours the larger change in X and t can be represented by ΔX/Δt as shown in Figure 2.6.1. Note the slope changes as the value of X (y-axis) changes.

Rate of Elimination equation

Equation 2.6.2. Rate of Elimination

Integration of Equation 2.6.1 (and other differential equations) provides the integrated equations such as Equation 2.6.3.

Integrated equation for X <i>versus</i> t

Equation 2.6.3. Integrated Equation. X versus Time

Equation 2.6.3 is the resulting integrated equation. We will talk more of these equations during the semester.

What we have done is convert the equation for rate of change of X versus time into an equation for X versus time. A differential equation is converted into an integrated equation. (Compare Equation 2.6.1 and Equation 2.6.3).

We will work with both differential and integrated equations in this course.

Integral Calculus

Differentiation is the reverse of integration. With differentiation breaking a process down to look at the instantaneous process, integration sums up the information from small time intervals to give a total result over a larger time period.

Another example of integration is the calculation of the area under the plasma concentration versus time curve. Later we shall learn that this summation or integration process can be used to evaluate dosage forms, that is it can be used as a measure of dosage form performance.

In the section above we converted from the rate of change equation to an equation for X. We can also go further and get an area under the curve, which is a further integration.

Another example is the progression from distance, to speed (the rate of change of distance), to acceleration (the rate of change of speed).

Rate <i>versus</i> Integral

Figure 2.6.1 Relationship between Rate and Integral


References

return to the Course index


This page was last modified: Sunday, 28th Jul 2024 at 4:41 pm


Privacy Statement - 25 May 2018

Material on this website should be used for Educational or Self-Study Purposes Only


Copyright © 2001 - 2025 David W. A. Bourne (david@boomer.org)


Name the Drug
Name the Drug
A game to aid recognizing brand versus generic drug names
See how many names you can catch before you run out of lives
Download from the App Store