TEKS Support |
This unit contains activities that support the following knowledge and skills elements of the TEKS.
(1) (A) |
X |
(4) (A) |
|
(1) (B) |
X |
(4) (B) |
|
(1) (C) |
X |
|
|
|
|
|
|
|
(2) (A) |
|
(8) (A) |
X |
(2) (B) |
X |
(8) (B) |
|
(2) (C) |
|
(8) (C) |
|
(2) (D) |
X |
|
|
|
|
|
|
(3) (A) |
X |
(9) (A) |
|
(3) (B) |
X |
(9) (B) |
|
(3) (C) |
X |
|
|
The mathematical prerequisites for this unit are
The mathematical topics included or taught in this unit are
The equipment list for this unit is
Teacher Notes |
"Simple Model"Context Overview |
The context of pharmacology and prescription medicine forms the basis for this unit. The modeling process is applied to identify and isolate various parameters that are relevant to understanding the context. These parameters include the minimum effective level, the maximum level of safe use, the rate of dissipation, the initial dosage, the response time and the deadline for the completion of the treatment. Students are asked to consider these parameters in various combinations, and led to increasingly complicated situations.
Mathematical Development |
Linear and exponential functions are reviewed as the delivery of oral medication (pills) is an additive process, while the rate at which the body uses up the medication is a multiplicative process. The distinction between discrete and continuous functions is brought up by assumptions on how the pills dissolve. Sequence notation plays a big part in describing the understanding of how the two disjoint growth processes work in tandem. Working with exponents and roots are brought into consideration, and solving equations using logarithms is introduced. Graphs and tables form the basis for studying the changes in various growth processes over time.
Teaching Suggestions |
Note: The development of the materials were made with the assumption that graphing calculators with "home-screen iteration" capability would be available to students for examining long-term projections. It would be preferable to show students how to build spreadsheets, and to explore a lot of those problems with spreadsheet models. As you go through these teacher notes, remember that as an option, if your class has access to computer work stations.
Preparation Reading"dos... age (do¢ sij) n." |
The context is one that is probably familiar to your students, but the chances are that they havent thought about where the determination of dosage and time interval come from. The entire first days class is devoted to moving the students from the background that they bring on prescription medication and dosage to becoming active modelers of the problem.
Given that goal for the first day, encourage students to participate with their own experiences. Continue to bring them back to the modeling process and the questions that must be addressed, but try to elicit information or ideas on the subject from them, rather than just tell them "This is how were going to do it!"
Activity 1First Steps |
![]() |
|
This is a fairly structured group/class activity, which will guide the students into the first stage of the modeling process. For each question of Activity 1, students should be given the opportunity to read, think and discuss the question in their groups, and then draft a response. That provides a lot of potential input for a class discussion, which will provide students an opportunity to formulate their ideas and suggestions, and then allow them to share those in a forum environment. Finally, assist the class to resolve what the "best" answer would be, and what direction to take in modeling the problem.
This may be a tough question to formulate. Hopefully, students will have enough experiences with medication prescriptions from their own lives, their parents needs, or from visits with the family pet to the veterinarian to build an understanding of the problem. If not, read the Preparation Reading article aloud after they have read (and discussed) it for themselves. The problem formation will come from the definition of "dosage" and their understanding of how medicine is prescribed. In the discussion, steer students toward the answer provided in the solutions.
Again, encourage students to really explore some of the things that have to be taken into consideration in modeling this context. The threshold and tolerance limits are intuitive, but students may never have thought about the rate at which drugs dissipate. Ask students to compare how long alcohol stays in the bloodstream (as detected by a breath analyzer), versus how long performance-enhancing steroids stay in the blood (as indicated by the testing strategies of the Olympic Committee). Does it make sense to treat everyone the same, when everyone will have different sizes and metabolisms? Why would it make a difference whether to inject a medication or give it in pills? Whats so important about response time and treatment time?
Students will recognize that the size of the person makes a difference, but may not see why. You can ask them what happens if a tablespoon of salt is put in a cup of water, and then ask them again what would happen if that tablespoon of salt were to be put in the local drinking supply. Its the concentration of the medicine in the bloodstream that will be effective in treatment, but assuming everyone is the same age and weight, and the volume of blood in their bodies is the same, the concentration and the amount of chemical will be equivalent. Some assumptions identified as solutions can be investigated by students as part of the follow-up work that evening, depending on what access they have to sources of information on pharmacology.
After discussing this question in the student groups, this might be a good time to show Transparency 1. Ask students to consider the problem like a very complicated etch-a-sketch. The questions have been asking students to identify what the input information will be, what the dials will control, and what the output information will be. This would be a good opportunity to review with them what they have been contributing to the development of the model, and what else needs to be considered. Show them Transparency 2 when finished discussing the model under development, and provide each student a copy of Handout 1, which is a copy of the same picture with the pertinent features indicated. Take ownership of this discussion, and add more factors into the overall picture, if you feel they ought to be included. Be careful about not including the six major ones, however; the questions students work through in the unit will continually be manipulating the input variables and the parameters to see what effect it has on the output. It will help students get a feel for this process by giving them an overview; the picture is a nice way of showing them their future "fate."
Again, let them think about this and discuss it before the class tries to determine what the next steps are. They may have heard the steps discussed before"Try and work with a simpler model"but like a good sound technician, they need to turn some things way down (or even off) in order to figure out whats going on with other things. If you can bring that decision from them, youve empowered them as modelers!
Before beginning Activity 1, students should have been given the Preparation Reading, the Key Concepts page, and Handout 1. Answer questions 1, 2, and 3 of Activity 1, which establish the modeling problem (see teachers notes pages 2-3, starting with What's the Problem to Solve). Then use Transparency 1 to address questions 4 and 5. Students should be encouraged to develop the model and the process using the parameters and notation described in Handout 1. These should be added to Transparency 1 as the students discover them.
One possible teaching strategy would be to ask the students what the inputs (independent variables) are. Then ask what output (dependent variable) would be from the list on Handout 1. If the students have been successful with the earlier questions they should recognize the two input variables as dosage (D) and Time between doses (Dt). They also should be able to see that Concentration (C) is the output.
The next goal is to have students connect the parameters that relate to each of these variables. You might ask a question: Which variables are associated with threshold level and tolerance level? Which variable is related to giving too little of the drug? Which variable is related to giving too much of the drug?
A simple problem can be created without the issue of dissipation (k). Questions can be posed like:
Homework 1We Need Input, Stephanie! |
![]() |
|
The purpose of this assignment is to provide additional clarification on some of the terms brought into the previous discussion, and to build a basis for understanding how the parameters relate to each other. Also, there is an opportunity for students to go find out more about the context area, and to network with professionals that might be involved in pharmacology or medical practice. Students that can bring in information and related facts should be given the opportunity to share what theyve found ongoing throughout the unit.
Be sure to review the answers to Question 5 of Part 1 thoroughly. The drug amount affects the concentration levels, and the assumptions made in this problem establish a "unit conversion" that will be consistently applied throughout the model.
Some students will see that these dosage problems are proportional and simply multiply to obtain the answer. For example, 600 mg is 6 times the initial does of 100 mg. Therefore, the concentration is 6 times higher. Others will need to do the proportion.
Here is how the proportion will look for problem 5a):
Students may also ask why pills are less effective than shots. There are many answers to this question. The most important factor is that pills travel through the digestive system, most notably the stomach. Stomach acids, and the process of digestion limit the amount of active ingredient that makes it to the bloodstream. Therefore, the doses for pills are often higher than for shots to achieve the same concentraiton. This is also an opportunity to discuss how being a doctor is often a compromise between treating illness, and the comfort and convenience of patients.
Activity 2Tell Me If It Hurts! |
![]() |
|
This activity focuses solely on the additive nature of the delivery of medicine by repetitive ingestion of pills. The modeling process begins by making unrealistic assumptions on the problem, simply so that a beginning reference can be established for understanding and describing the situation. In this context, we will assume (temporarily) that the chemicals dont dissipate in the blood, and develop the mathematics that describes additive growth processes.
Various situations and strategies are considered, and students are encouraged to put themselves in the role of a doctor as they write out prescriptions for the various problem solutions. Remind students to associate given information in a particular problem with the problem parameters identified in the handout Prescription Parameters. Some of what the students will be doing in the unit is quite complex and can be confusing. As a strategy for you in helping students understand what they are doing or need to do, you can also draw the connection to those parameters. If students experience difficulty in answering parts of the assignment (or any assignments from the unit), remind them that the tools for exploration are tables and graphs, even if they are not specifically requested in the problems! Point out to students that the traditional names for arithmetic sequences are a0, a1, a2, a3, a4, a5, etc.
Note: 1 µg = 106g
Homework 2Lets Play Doctor |
![]() |
|
This set of problems still uses the assumption that the chemicals stay in the body indefinitely, and provides students more opportunity to solve problems in manipulating the various parameters. Question 2d) is a chance for your stronger students to apply the "Method of Generalization" and develop a solution in terms of the various parameters, rather than specific value solutions.
Activity 3The K in Decay |
![]() |
|
Activity 3 is where students focus their attention on the rate of dissipation as a parameter, and the mathematics behind exponential decay processes. Start with a discussion of the modeling process. The assumption that chemicals never dissipate was very unrealistic; students experiences will be to the contrary. Rather than add in an additional consideration, this activity tables the consideration of the dosage, and explores what happens to quantities over time once they are ingested. Make sure students understand the reasoning behind the decision that "Simpler is better", until you are able to put everything together.
There may be a need to go over how to convert from a percent of decline to a growth factor. In addition, recursive equations will be extensively used during the rest of the unit, so there should be an emphasis placed on students understanding what the subscripts do for the equation. Point out to students that the traditional names for geometric sequences are b0, b1, b2, b3, b4, b5, etc. A review of exponents, how they represent repeated multiplication operations and how to evaluate them, might be in order.
In debriefing Activity 3, be sure to go over Questions 5-8. Half-life is a useful way to describe exponential decay sequences, and all the various methods introduced for solving equations to find the half-life should be reviewed with the students.
Homework 3Grrrrrrr-Rate! |
![]() |
![]() |
|
Practice problems from Activity 3 form the majority of this set of questions. It can be an opportunity for you to find out if your students really understood the material brought out in the Activity. Question 6 asks students to think about how to mix additive growth and exponential decay processes together. In asking the question, it is setting the table for the understanding of how to describe those kind of patterns, and preparing students for the next Activity. Be sure to discuss the students findings with them on this.
Activity 4You Grow Some, You Decay Some |
![]() |
![]() |
|
In modeling the contextual problem, weve considered the effect caused by the oral prescription alone, and weve considered the effect caused by the body metabolizing the medication alone. In Activity 4, you now consider what happens when both are going on simultaneously. Be sure students understand that one action is being treated as a discrete process (assumption that the pill dissolves immediately causes "quantum" jumps in concentration), while the other is a continuous process (gradual dissipation of the medicine in the body). This shows up in the graphs as repeated spikes of increase, and classic exponential decay curves.
Mixed growth sequences form the basis for this activity. Students start off by building a sequence that balances the additive growth with the exponential decay. Then, a couple of examples in which the growth processes are not balanced are examined. Change of scale is introduced as a way of focusing on the top or bottom of the exponential curves over time, instead of having to deal with disjoint pieces. Finally, students arrive at the recursive expression defining mixed growth sequences; the logic that describes how to go from one time interval to the next is pretty nice, especially compared to the closed-form equations. Make sure your students understand the logic behind these expressions before moving forward. Also, make sure that the students understand the distinction between the pattern formed by the peak concentrations (pill first, then measure concentration) and the "bottoming-out" concentrations (measure concentration first).
Homework 4Stay Between the Lines! |
![]() |
|
Students return to the model in this assignment as they juggle parameter values and try and solve problems based on the various conditions and constraints. Consideration for the boundary values of the partial sums is brought out in this set of problems, although not formalized. Again, remind students to refer to the Handout 1Prescription Model. These problems are beginning to get conceptually more demanding, and there is a greater need for table building, home-screen iteration on the calculator, exploration using a spreadsheet template, and making graphs. Another tool that students can use is to sketch an x- and y- axes, and a rectangular "window" in the first quadrant, to represent the conditions for each of the problems. Encourage them to visualize how concentration would respond under each constraint condition.
Activity 5Close to a Final Form |
![]() |
![]() |
|
In this activity, a mathematical approach for finding the theoretical maximum value of a mixed-sequence growth is explored. The modeling approach is to try and establish a more general solution to the problem, than to explore each one as a "new" adventure. Point out to students that they are getting close to the crux of the problem, and that it is always more difficult sledding.
The idea is to analyze the computations for a mixed-sequence growth, in order to determine whats going on. The first pills dosage goes through a decay process repeatedly with each time interval, and the second one as well, although it hasnt been in the body as long. Each pills contribution to the total concentration is expressed using the algebra of exponents, since two time intervals would have a growth factor of k2 (if one time interval has a growth factor of k).
Depending on the students you have, you might want to discuss Questions 2, 3 and 4 in a "whole-class" forum, especially the parts requiring intensive algebra. Make sure the students see the intuitive development of the infinite series as a limit as the number of terms goes to infinity, and how that reduces the partial sums formula to the infinite series formula. Also, make sure they recognize that the infinite series formula has conditions on when it converges to that expression, namely that the growth factor must be less than one.
AssessmentDosage Deliberations |
![]() |
|
This is the final stage of the work on developing the model. Students take the work done from Activity 5 in developing expressions for calculating the dosage and/or time interval from the theoretical maximum concentration allowed in the problem. They have to adjust their thinking to build in considerations for threshold and tolerance levels, and for response time. Strategies for generalizing the entire problem are hinted at, or at least improper strategies are examined and critiqued. Between the examples that students must work through, and the situations that students need to analyze, there should be enough foundation for students to arrive at a general process for determining dosage and time intervals.
Question 3, 4 and 9 should be discussed with the entire class. If students are able to formulate the process in English, help them to express it in mathematical notation. At any rate, after completion of this assignment, students should review the work done in the unit to try and summarize what was done. A writing assignment requesting that process work could be a nice way of finishing off the unit core material, prior to any assessment of the learning in the unit.
Handout 1Prescription Model |

Transparency 1Prescription Model |

Transparency 2Prescription Model |

Annotated Student Materials |
Preparation Readingdos... age (do¢ sij) n |
Have you ever been given a prescription for some medication? Its likely that the label on the bottle did not say, "Take two, and call me in the morning!" If its an oral medication (pills), probably the number of tablets in the bottle is somewhere on the label. There should also be some way of identifying what substance is in the container, and how much prescribed medicine is in each tablet. And most importantly, there should be instructions on how many pills to take each day, and how often. In other words, what is the dosage?
The American Heritage Dictionary of the American Language has the following definition for dosage: "1. The administration of a therapeutic agent in prescribed amounts. 2. The amount administered." Have you ever wondered how doctors come up with "the amount to be administered"? What kind of thinking and decision-making does it take to determine how to administer something in prescribed amounts? It may be as simple as looking up information in a table, or plugging some numbers into a formula thats as old as medical knowledge. But it also is a rich problem context in which to explore and to practice mathematical modeling.
In this unit, you are going to place yourself in the role of a medical practitioner and practice the skills youve developed in learning to model. What is the question? What are some assumptions that need to be made? What are the variables? How should we begin this exploration? When you get through all that, you still have to figure out what kind of mathematics applies here. You may even need to learn more mathematics in order to solve your problem. That can be a lot to deal with for a single problem and may seem impossible, but there is one thing that is reassuring about the situation. Doctors solve this kind of problem on a daily basis, so it has to be possible. And their work can provide a kind of reality-check for our mathematical prediction, so we can test how effective our model is.
Take a few moments to think about the field of prescriptive medicine. How do they do that, anyway?
Activity 1First Steps |
= 1, 10, 11
Group:Answers will vary; refer to Teacher Notes for discussion ideas.
Class: How can you determine the amount of medication to prescribe, and the time interval between dosages (or the number of dosages to give in a predetermined time period)?
Group: Answers will vary; refer to Teacher Notes for discussion ideas.
Class: Factors to consider include: the size of the patient, the kind of chemical being administered and its rate of absorption and dissipation in the body, whether an initial treatment is applied, whether the drug is administered orally or intravenously, whether the body manufactures the chemical.
Limitations include: the amount of medicine needed to be effective, the amount that begins to cause harm to the patient, the time interval in which you must begin treatment, the time interval in which you must have completed treatment.
Group: Answers will vary; refer to Teacher Notes for discussion ideas.
Class: The critical factor to monitor is the concentration level. Assume that the body weight and blood volume are constant, so that the amount of medicine present directly affects the concentration level. Theres no prior amount of the medicine present before administering the first dosage, and the body doesnt manufacture the chemical naturally.
Group: Answers will vary; refer to Teacher Notes for discussion ideas.
Class: Input (independent) variables will be dosage and time between doses, and the output (dependent) variable will be concentration.
Group: Answers will vary; refer to Teacher Notes for discussion ideas.
Class: Consider a simpler situation in which only one of the parameters is considered at a time; i.e., where the chemicals dont dissipate, where there isnt an initial treatment, or where there is only an initial treatment.
Homework 1We Need Input, Stephanie! |
![]() |
|
In the discussion that took place in Activity 1, input/output variables and parameters for the problem were introduced. For the following questions, Handout 1, Prescription Model, will be useful.
The amount of the drug wont be great enough to do any good, and certainly wont treat the condition.
There could be side effects (i.e., hives), overdose symptoms (i.e., falling asleep), and possibly a new condition brought on from toxic levels of the chemical (i.e., kidney failure).
It means that youd better see the doctor really quickly, or there may be complications. For example, if you have pneumonia, antibiotics can treat the situation fairly easily. But if you go past the response time, you might get fluid in the lungs, which would be very serious.
It might mean that theres no rush to treat the condition, as long as its taken care of during that time, but it may mean that the treatment needs to be stretched out over a long time period. What is definite is that the treatment needs to be finished by that moment in time.
The condition cant be treated; or if it has to be treated, there will be some complications, since the smallest amount required to take care of the problem will be more than what the body can handle safely.

Basically, thats establishing a WINDOW for viewing the important part of the problem, with xmin = to, xmax = tf, ymin = Cmin and ymax = Cmax. See the shaded part of the graph.
Note: Review the use and meaning of "D."
Total treatment time = 36 6 = 30 hours. Break that time up into 12 intervals, and you get 2.5 hours in between pills.
36 2 = 34 hours
1/2 2 hour intervals = 17 pills.There will be various ways to express this, but they should all be equivalent to:

We assumed that the first pill would be given at the beginning of the treatment time interval (at to), and that the last pill to be given would "lose its effect) at the treatment deadline time. In other words, a pill would not be given at the deadline time, since its effects would be after the deadline.
First, it is not the amount of the dose that treats the problem, but the concentration of the substance that matters. The concentration of the drug is equal to the amount of the substance divided by the blood volume of the patient or. This concentration is usually measured in micrograms over milliliters (µg/ml). Blood volume is strongly related to weight, so most dosages increase with the weight of the patient. The doctor may also consider other factors like gender, metabolism, and general health when they prescribe a drug.
Second, a part of any drug is used up in dissolving pills, digestion, and other factors. Therefore pills and injections require different dosages to reach the same concentrations in the blood stream. Generally injections are more effective than pills, and require smaller doses. Pills, however, are more convenient for patients to take on a regular basis.
C = 300 µg/ml
C = 25 µg/ml
Note: In developing this model, we will continually work with this patient and drug combination. Therefore, the following assumptions are needed:
You may want to investigate how answers might change if you varied the type of drug administered (which will change the difference in effectiveness between the shot and the pill, the weight of the patient (which will change the blood volume), or other factors you might identify).
Note:
1 millogram =
1 mg = (1/1,000,000)g = 106 g
1 milligram = 1 mg = (1/1,000)g = 103 g
1000 mg = 1 mg
It would be nice to know if our parameters, assumptions and variables form a "total package", so we need to check in with some relative experts on the subject. There are several sources of information.
Bring in whatever you can find to share with the class. Happy hunting!
Activity 2Tell Me If It Hurts! |
![]() |
|
= 7, 12, 13, 16
In the discussion on modeling the problem of prescription dosage that just took place, a lot of factors were brought in to consideration. A lot of times, it can be overwhelming to consider all of them at the same time, so were going to consider a simpler situation. For the duration of this activity, well assume that the chemical never breaks down in the body, but simply accumulates over time as more of it is put into the body.
Remember the assumptions for our patient:
Answers will vary, but should range from 80 to 200 mg. Probably the midrange value of 140 mg would be the safest answer.
A/(70 µg/ml) = 100 mg/(50 µg/ml)
A = 140 mg
D = 0; Cmin = 40; Cmax = 100; k = 0;
Co = whatever the answer to part a) was = 70 µg/ml.

Sketch a graph of the situation in the space provided above. Indicate where all the important information is located.
Why is the input variable D not considered? Why is the input variable Dt not considered? Why are the parameters to and tf not considered?
D isnt considered because were assuming that the treatment will consist of a single shot, in this case containing 70
mg. Dt, to and tf are not important since weve assumed the chemical doesnt dissipate over time, and the shot is being given at time t = 0.In this particular case, C(t) = 70.
In general, C(t) = n, where n is some number in the interval [Cmin, Cmax].
80 mg in the shot; 600 mg from the pills
Dpill = 12.5 mg. Divide the amount the patient still needs by the number of hours.
Quantity: 8 pills. Dosage: 75 mg. Prescription: Take 1 pill every 6 hours.
Time |
Concentration |
40 |
|
6 |
47.5 |
12 |
55 |
18 |
62.5 |
24 |
70 |
30 |
77.5 |
36 |
85 |
42 |
92.5 |
48 |
100 |

Closed form: C(t) = 1.25t + 40, where t is measured in hours and C in
mg/ml.C(n) = 7.5n + 40
It depends on the assumptions. The first one implies that the medication is being released at the same rate during each moment of the 48 hour period. The second one says that the concentration "jumps" every time we take a pill, which isnt real, but we can "assume" that the pill dissolves instantly.
The concentration was affected by the number of pills taken, and formed a pattern that was created by repeating an addition operation. That kind of pattern is called an arith-metic sequence; describing such a sequence involves associating the values with its place in the list of numbers.
Term Name |
c0 |
c1 |
c2 |
c3 |
c4 |
c5 |
c6 |
c7 |
c8 |
No. of Pills Taken |
0 |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
Concentration |
40 |
47.5 |
55 |
62.5 |
70 |
77.5 |
85 |
92.5 |
100 |
c0 = 40; cn = c n1 + 7.5 (0
£ n £ 8)Start with 40 and add 7.5 to it a total of 8 times, or
40 + (7.5)(8).
0®10 to reach threshold
10®36 to reach maximum
1800 mg / 10 hr = 180 mg/hr
Amount = 4500 1800 = 2700
mgRate = 2700 µg/26 hr = 10.38
mg/hrYou need to use two different prescriptions
Pink pills: quantity 5, dosage 360 mg, take one every 2 hours until gone, then switch over to the purple pills
Purple pills: quantity 4, dosage 675 mg, take one every 6 hours until gone
Because the time interval for the first stage was determined to be 2 hours, I multiplied the hourly amount by two to get the dosage. The quantity was calculated by taking the number of total hours and dividing it by the time interval chosen. For the second stage, the time remaining (26 hrs) didnt divide by the time interval (6 hours) evenly. The number of complete 6-hr time intervals became the quantity, and the amount that was left to be delivered was divided by the quantity to determine the dosage.
Term |
Time (hrs) |
Concentration |
c0 |
0 |
0 |
c1 |
2 |
36 |
c2 |
4 |
72 |
c3 |
6 |
108 |
c4 |
8 |
144 |
c5 |
10 |
180 |
c6 |
16 |
247.5 |
c7 |
22 |
315 |
c8 |
28 |
382.5 |
c9 |
34 |
450 |

c0 = 0, cn = cn1 + 36 (0
£ n £ 5) and c5 = 180, cn = cn1 + 67.5 (5 £ n £ 9)The pills are completely dissolved by the end of the time period, and we either dont know or dont need to be concerned by whats going on during each time period.
C(t) = 18t + 0 (0
£ t £ 10) and C(t) = 11.25(t 10) + 180 (10 £ t £ 34)The pills are "time-delayed" and dissolve a little bit at a time, and at a constant rate.
In the first equation, the domain is determined by to, the y-intercept by C0, and the slope by Cmin. In the second equation, the domain is determined by the expression tf to, the y-intercept by C0, and the slope by both tf to and Cmax Cmin.
Homework 2Lets Play Doctor |
![]() |
|
You wish to compare the strategy of giving a shot to raise the concentration up to the threshold level immediately with one in which you use oral medication to bring the concentration up to the threshold level by the response time. Lets use a threshold level of 200mg/ml and a tolerance level of 500 mg/ml. The response time will be 12 hrs and the treatment deadline will be 48 hrs.
The amount needed by the shot is 400 mg, since C0 = Cmin = 200 µg/ml. The additional amount to be delivered by pills is 3000 mg. This is to be done over a 48-hr period, but at 6-hr intervals. Therefore, the prescription will read: Quantity: 8. Dosage: 375 mg. Take 1 every 6 hours.
The threshold level of 200
mg/ml should be reached within 12 hours, in 6-hr doses, so the dosage for the pills has to be 1000 mg each. At that rate, the tolerance level will be reached after 5 pills. So, the prescription will read:Quantity: 5. Dosage: 1000 mg. Take 1 every 6 hours.
Strategy 1 (with initial shot): Amount of shot: 400 mg. Prescription: Quantity: 12. Dosage: 250 mg. Take 1 every 4 hours.
Strategy 2 (no initial shot): Prescription: Quantity: 12. Dosage: 416.7 mg. Take 1 every 4 hours.
Strategy 1 (with initial shot): Amount of shot C0 = Cmin
Quantity: n = integer value of (tf /
Dt)Dosage: D = (Cmax Cmin) / n
Take 1 every
Dt hoursStrategy 2 (with no shot): Initial amount of medicine C0 = 0
If Cmin / to
£ Cmax / tf, then:Quantity: n = integer value of (tf /
Dt )Dosage: D = Cmax / n
Take 1 every
Dt hoursIf Cmin / to
> Cmax / tf, then:Quantity: n = integer value of ( (Cmax / Cmin) * (to /
Dt ) )Dosage: D = Cmax / n
Take 1 every
Dt hoursActivity 3The K in Decay |
![]() |
|
= 2, 4, 6
Our model of how medicine is introduced into the bloodstream was based on the assumption that the medicine stayed in the body forever. Now we want to focus on how the body uses up, or metabolizes, medicine. We will make two assumptions at this time. The first assumption is that no additional medicine is taken. This assumption will be changed in a later activity.
The second assumption is that a constant fraction, or constant percentage of medicine is metabolized per unit time. This fractional rate of change, which we will designate as r, is constant. The fraction of medicine remaining after a unit time interval is also constant and is designated by K. The two constants are related as:
r = 0.10
K = (1 r) = 0.90
C1 hr = 800 µg/ml (0.90) = 720 µg/ml
At the start of the second hour we have 720 µg/ml. We will lose another 10% the second hour. We still have r = 0.10 and K = 0.90.
C2 hr = 720 µg/ml (0.90) = 648 µg/ml
Term |
Time |
Concentration |
c0 |
0 |
800 |
c1 |
1 |
720 |
c2 |
2 |
648 |
c3 |
3 |
583.2 |
c4 |
4 |
524.88 |
c5 |
5 |
472.39 |
c6 |
6 |
425.15 |
c7 |
7 |
382.64 |
c8 |
8 |
344.37 |
c9 |
9 |
309.94 |
c10 |
10 |
278.94 |

C0 = 800; Ct = Ct1 (0.10) C t1 or Ct = C t1 * 0.90
No. of 2-hr Time Intervals (n) |
0 |
1 |
2 |
3 |
4 |
5 |
Concentration (C) |
800 |
648 |
524.88 |
425.15 |
344.37 |
278.94 |
C0 = 800; Cn = Cn1 (0.19)Cn1 or Cn = Cn1 * 0.81
No. of 2-Hr. Time Intervals (n) |
0 |
1 |
2 |
Concentration (C) |
800 |
472.39 |
278.94 |
C0 = 800; Cn = Cn1 (0.40951)Cn1 or Cn = Cn1 * 0.59049
I took repeated subtractions of 10%, and then determining the percent of the original amount, or I just multiplied 0.90 by itself as many times as the number of hours in the time interval, or refer to table in 1c.
K5 hr = b5/b0 = 472.39/800
K5 hr = 0.59
C(t) = 800*(0.90)t.
The order of operations is to raise (0.90) to the power specified by the value of the variable t, and then multiply that answer by 800. Verify that the answer you wrote as the value for the concentration at the end of the 8th hour is correct, by using t = 8 in the closed-form equation.
C(8) = 800 * (0.90)8 = 800(0.90)(0.90)(0.90)(0.90)(0.90)(0.90)(0.90)(0.90) = 344.37. (Its the same!)
C(t) = 800*(0.81)t and C(t) = 800*(0.59049)t.
0.97
Time |
Concentration |
0 |
800 |
1 |
776 |
2 |
752.72 |
3 |
730.14 |
4 |
708.23 |
5 |
686.99 |
6 |
666.38 |
7 |
646.39 |
8 |
627 |
9 |
608.18 |
10 |
589.94 |

Recursive: C0 = 800; Cn = Cn1 * 0.97
Closed Form: C(t) = 800 (0.97)t
0.75
Time |
Concentration |
0 |
800 |
1 |
600 |
2 |
450 |
3 |
337.5 |
4 |
253.13 |
5 |
189.84 |
6 |
142.38 |
7 |
106.79 |
8 |
80.09 |
9 |
60.07 |
10 |
45.05 |

Recursive: C0 = 800; Cn = Cn1 * 0.75
Closed Form: C(t) = 800 (0.75)t
In each case, the table values for concentration got smaller over time; the graph was a curve that started at 800, dropped toward the x-axis and curved in the direction of the x-axis. As k, the decay rate, got larger, the more quickly the graph curved towards the horizontal axis; the table values got smaller faster as well.
Between 6 and 7 hours. Look in the table for how long it takes the 800
mg/ml to decay down to 400 mg/ml.It will go down, since the concentrations will get smaller faster.
Time (t) |
0 |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
Concentration (C) |
800 |
680 |
578 |
491.3 |
417.6 |
355 |
301.7 |
256.5 |
The half life would be somewhere between 4 and 5 hours, since thats the interval in which the substance decreases to only 400
mg/ml.Its a solution to the equation x10 = 0.85 (the growth factor in this case).
So, the new growth factor would be:
» 0.9839
Time (t) |
4.0 |
4.1 |
4.2 |
4.3 |
4.4 |
4.5 |
4.6 |
4.7 |
4.8 |
4.9 |
5.0 |
Concentration (C) |
417.6 |
410.9 |
404.3 |
397.8 |
391.3 |
385 |
378.8 |
372.7 |
366.7 |
360.8 |
355 |
The half-life for this medicine will be between 4.2 and 4.3 hours.
y1 = 800(0.85)x,
and enter the condition for determining when half the substance has decayed as your second function:
y2 = 400.
Xmin = 0, Xmax = 6, Xscl = 1, Ymin = 0, Ymax = 1000, Yscl = 50
Somewhere around 4.28 hours.
Somewhere around 4.265 hours.
Homework 3Grrrrrrr-Rate! |
![]() |
|
Term |
Time |
Concentration |
c0 |
0 |
600 |
c1 |
1 |
552 |
c2 |
2 |
508 |
c3 |
3 |
467 |
c4 |
4 |
430 |
c5 |
5 |
396 |
c1 / c0 = K = 0.92
c3 / c2 = K = 0.92
c4 / c3 = K = 0.92
Reducing the concentration by 8% per hour means that r = 0.08 and K = 0.92. Calculating the ratios of successive terms verifies that the same number was used each time in the multiplying.
0.6591. Successive multiplying by 0.92 for 5 hours is the same as multiplying by (0.92)5, which equals 0.6591.
The concentration from one period to the next is found by multiplying the previous concentration by K.
Time |
Concentration |
0 |
360 |
1 |
288 |
2 |
230.4 |
3 |
184.3 |
4 |
147.5 |
5 |
118 |
6 |
94.4 |
7 |
75.5 |
8 |
60.4 |
9 |
48.3 |
10 |
38.7 |

0.80
Recursive: C0 = 360
mg/ml. Ct = Ct1 * 0.80Closed Form: C(t) = 360 (0.80)t
360 (0.80)15 » 12.67
mg/mlIf you assume that there is 100 µg/ml initially, the equation to solve becomes 50 = 100(x)9.
50/100 = x9
= x
x = 0.926, which corresponds to a drop of around 7.4%.
Build a table, and find that it reaches 200
mg/ml sometime during the fourteenth hour.Graph y1 = 600(0.92)x and y2 = 200, and trace to the intersection point, and find that it takes around 13.2 hours to reach 200
mg/ml.Time |
Concentration |
0 |
600 |
1 |
552 |
2 |
508 |
3 |
467 |
4 |
430 |
5 |
395 |
6 |
364 |
7 |
335 |
8 |
308 |
9 |
283 |
10 |
261 |
11 |
240 |
12 |
221 |
13 |
203 |
14 |
187 |
The equation describing the problem is: 100 = 320 (k)5
Divide by 320: 0.3125 = (k)5
Take a 5th root:
= k
k » 0.792.
Time |
Concentration |
0 |
0 |
6 |
50 |
12 |
100 |
18 |
150 |
24 |
200 |
30 |
250 |
36 |
300 |
42 |
350 |
48 |
400 |
54 |
333.19 |
60 |
277.54 |
66 |
231.18 |
72 |
192.57 |
|
78 |
160.40 |
84 |
133.61 |
90 |
111.29 |

Activity 4You Grow Some, You Decay Some |
= 3, 8, 10
Our first step at understanding the model that describes concentration over a period of time assumed that there was no rate of dissipation. This allowed us to "concentrate" on the effect of continually adding medicine, and allowed us to describe it mathematically. The second step was to focus our attention on the rate of decay, but it was also assumed that there was no medicine being added. We learned to describe how the body consumes an initial shot of medicine, but still leaves us the task of putting it together.
Time |
Concentration Loss From Decay |
Concentration Gain From Dose |
Concentration Level |
0 |
--- |
--- |
500 |
1 |
25 |
|
475 |
2 |
23.75 |
|
451.25 |
3 |
22.56 |
|
428.69 |
4 |
21.43 |
|
407.26 |
5 |
20.36 |
|
386.90 |
6 |
19.35 |
132.45 |
500 |
7 |
25 |
|
475 |
8 |
23.75 |
|
451.25 |
9 |
22.56 |
|
428.69 |
10 |
21.43 |
|
407.26 |
11 |
20.36 |
|
386.90 |
12 |
19.35 |
132.45 |
500 |

First, there is the decay of the chemical over a 6-hour period, in which 5% is removed each hour. Second, there is the increase from taking the pill every 6 hours. Finally, there is the long-term pattern that will be a concentration level of 500 µg/ml every 6 hours until the patient runs out of pills.
Calculate 500*(0.95)6, which gives 367.55 µg/ml. Thats the concentration thats left after six hours. Then subtract that from the original amount of 500 µg, to figure out how much to add (in order to restore it to the original value).
Time |
Concentration Loss From Decay |
Concentration Gain From Dose |
Concentration Level |
0 |
--- |
--- |
500 |
1 |
25 |
|
475 |
2 |
23.75 |
|
451.25 |
3 |
22.56 |
|
428.69 |
4 |
21.43 |
132.45 |
539.71 |
5 |
26.99 |
|
512.72 |
6 |
25.64 |
|
487.08 |
7 |
24.35 |
|
462.73 |
8 |
23.14 |
132.45 |
572.04 |
9 |
28.60 |
|
543.44 |
10 |
27.17 |
|
516.27 |
11 |
25.81 |
|
490.46 |
12 |
24.52 |
132.45 |
598.39 |
|
|
|
|

Yes, because the amount contained in the pill just balanced out the effects of chemical dissipation over a 6-hour period. Not as much would dissipate in a 4-hour period, so youre slowly going to increase the concentration over time.
500 500(0.95)4 = 92.75 µg/ml, so the dosage would be 927.5 mg.
39.71 µg/ml; 32.33 µg/ml; 26.35 µg/ml.
It will continue to increase, but the amount of increase will get smaller over time. Eventually, it will reach a "top" value or upper limit on the sequence.
If the dissipation rate is a fairly large percentage, so that the amount being added from taking pills is smaller than the amount being used up by the body, then the sequence wont go up at all. And if the dissipation rate is really small, then the growth will seem like our original additive model.
Time |
Concentration Loss From Decay |
Concentration Gain From Dose |
Concentration Level |
0 |
--- |
--- |
500 |
2 |
48.75 |
|
451.25 |
4 |
44.0 |
|
407.25 |
6 |
39.71 |
|
367.55 |
8 |
35.84 |
|
331.71 |
10 |
32.34 |
|
299.37 |
12 |
29.19 |
132.45 |
402.63 |
14 |
39.26 |
|
363.37 |
16 |
35.43 |
|
327.94 |
18 |
31.97 |
|
295.97 |
20 |
28.86 |
|
267.11 |
22 |
26.04 |
|
241.07 |
24 |
23.50 |
132.45 |
350.02 |
26 |
34.13 |
|
315.89 |
28 |
30.80 |
|
285.09 |
30 |
27.79 |
|
257.30 |
32 |
25.09 |
|
232.21 |
34 |
22.64 |