Math 1010 Drug Filtering Lab Name:_____________ The purpose of this lab is to come up with a continuous model for exponential decay. Dot assumes that her kidneys can filter out 25% of a drug in her blood every 4 hours. She knows that she will need to take a drug test for an interview in a couple of days. She plans on taking one 1000-milligram dose of the drug to help manage her pain. 1.) Fill in the table showing the amount of the drug in your blood as a function of time and round each value to the nearest milligram. The first two data points are already completed. TIME SINCE TAKING THE DRUG (HR) 0 4 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 What might a model for this data look like? AMOUNT OF DRUG IN HER BLOOD (MG) 1000 750 563 422 317 238 179 134 101 76 57 43 32 24 18 14 11 8 2.) Use a graphing utility to make a plot of the above data. Label axes appropriately. 1000 900 800 700 600 Milligrams of 500 Drug 400 Amount of Drug in Blood Time Since Taking the Drug 300 200 100 0 0 4 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 Hours Since Taking Drug 3.) Based on your graph, what can you say about the data? For example, is there a pattern? Is there constant slope? 4.) How many milligrams of the drug are in Dot’s blood after 2 days? 32MG 5.) How many milligrams of the drug are in Dot’s blood after 5 days? 0 MG 6.) How many milligrams of the drug are in Dot’s blood 30 hours after she took the drug? Explain your reasoning. 28 hours= 134 MG, 32 hours= 101 MG. 30 hours= 117/118MG [134*1/2(.25)-1] or 134*.875. Half of 25% is 12.5%, which represents 2 hours instead of 4 hours. 7.) A blood test is able to detect the presence of this drug if there is at least 0.1 mg in a person’s blood. How many days will it take before the test will come back negative? Explain your answer. Due to the rate of 25% decrease every 4 hours, the drop becomes less and less significant over time. At this rate, it would take 172 Hours, or just over 7 days, for the drug to be 0.00MG or less. At 140 hours, the drug would be at 0.04MG, which is less than 0.1MG, which is just shy of 6 days. 8.) Will the drug ever be completely removed from her system? Explain your reasoning. What complications might arise from having excess amounts in her system? The drug, at some point would be completely removed from her system, but trace amounts remain for a long period of time, even if the trace amount is undetectable. For example, at 424 hours, or almost 17 ½ days, the trace amounts are 0.00000000001MG which is almost nonexistent, but still remains. By increasing the initial MG amount, it would take even longer to exit the system. The problem is that 25% of a the MG remaining after 4 hours keeps getting smaller, but even 25% of 0.00000000001 still produces a positive number. The decrease is less and less over time. 9.) Since there is a constant rate of decay, a continuous exponential decay model can be used to determine how much drug is in her system at any time. Exponential Decay Model A(t ) A0e kt Where A(t) is amount of drug in blood at time t in hours, A0 is the initial amount of drug, and k is the rate of decay (it will be a negative number) You will have to find the actual value of k that works for this model. Write down the exponential decay model for the amount of drug in Dot’s blood as a function of time: Model: A(t)=1000mg*e^t[(1/4)*ln(3/4)] Example: 750=1000e^4[(1/4)*ln(3/4)] A=1000mg, T=Hours (0) at first, K=Rate of drug leaving the body Now use that model to fill in the following table: TIME SINCE TAKING THE DRUG (HR) 0 4 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 AMOUNT OF DRUG IN HER BLOOD (MG) 1000 750 563 422 316 237 178 133 100 75 56 42 32 24 18 13 10 8 10.) Interpret the parameters of this exponential model in terms of the context of the problem. The rate of decay (k) is -0.0719 or about 7.2%. The drop in dosage becomes less and less as the drug continues to leave the system. BY solving for k, we can determine a consistent decay rate based off the given time (t). 11.) Compare your values with the estimated values in the model. How close were they? Why might they be different? The numbers were very close, only differing by a +/- a couple MGs. They are different because the formula gives a more exact method of calculating how long it takes the drug to exit the system. 12.) Use a graphing utility to graph the original data along with a graph of the model on the same set of axes. 1000 900 800 700 600 Milligrams of 500 Drug 400 Amount of Drug in Blood Time Since Taking the Drug 300 200 100 0 0 4 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 Hours Since Taking Drug 1200 Rate of Decay Formula Chart 1000 800 Amount of Drug in Blood 600 Time Since Taking the Drug 400 200 0 0 4 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 13.) Were you expecting a horizontal asymptote? What might that mean in the context of the problem? The result of a horizontal asymptote could be because of the rate the drug enters the system as well as the drug leaving the system will cause the line to cross the X-axis. 14.) Using your model, how much drug is in her system 17 hours after taking the drug? A(t)=1000e^17[(1/40*ln(3/4)] = 294mg 15.) Using your model, how long will it take for exactly one-half of the drug to remain in her system? 9.64 Hours, the remaining drug is 499.9, or 500mg: 500=1000e^9.64[(1/40*ln(3/4)] 16.) Using this model, how long will it take for 0.1 mg of the drug to remain in her system? 128 Hours, the amount of the drug remaining is 0.1mg. 17.) Do you think the continuous decay model is more accurate for predicting the amount of drug in her blood? Why? Or why not? Yes, by using this formula, you can create a more accurate rate for the drug leaving the body, even if the difference is minimal, that difference can still be the reason she fails or passes her drug test. 18.) What other factors should be considered in coming up with a more realistic model? Additional factors can be considered when finding the rate of decay, such as body weight, body fat percentage, metabolism, age, gender, and what drug specifically a person is taking because some drugs have a longer half-life than others and can remain in your system exponentially longer. 19.) Reflective writing: Did this project change the way you think about how math can be applied to the real world? Write one paragraph stating what ideas changed and why. If this project did not change the way you think, write how this project gave further evidence to support your existing opinion about applying math. Be specific. This project helped me understand how a formula can be constructed to determine the outcome or estimated results of a given situation. Whether the math is used to determine the amount of a drug in your system, or to determine the amount of money you can gain from a compound interest bank account, numbers never lie and they are always applicable. I continue to realize how math is involved in almost everything we do on a daily basis. It’s how we can understand worldwide statistics in the world, health industry, sports, or business industry. Before this project, I never understood how a function could determine the life of a drug in your system, and it is very interesting.