<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">ABB</journal-id><journal-title-group><journal-title>Advances in Bioscience and Biotechnology</journal-title></journal-title-group><issn pub-type="epub">2156-8456</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/abb.2010.11008</article-id><article-id pub-id-type="publisher-id">ABB-1589</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Applications of exponential decay and geometric series in effective medicine dosage
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>hinnaraji</surname><given-names>Annamalai</given-names></name><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><author-notes><corresp id="cor1">* E-mail:<email>anna@iitkgp.ac.in</email></corresp></author-notes><pub-date pub-type="epub"><day>22</day><month>04</month><year>2010</year></pub-date><volume>01</volume><issue>01</issue><fpage>51</fpage><lpage>54</lpage><history><date date-type="received"><day>10</day>	<month>March</month>	<year>2010</year></date><date date-type="rev-recd"><day>18</day>	<month>March</month>	<year>2010</year>	</date><date date-type="accepted"><day>20</day>	<month>March</month>	<year>2010.</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The problem facing by physicians is the fact that for most drugs there is a minimum concentration below which the drug is ineffective, and a maximum concentration above which the drug is dangerous. Thus, this paper discusses the effective medicine dosage and its concentration in bloodstream of a patient. For analysis of dose concentration and mathematical mo- delling of minimum and maximum concentration of a drug administered intravenously, the EDM (Exponential Decay Model) and GSF (Geometric Series and its Formula) are the powerful mathematical tools. In the present research study, these two mathematical tools were used to predict the dose concentration of a drug in bloodstream of a patient.
 
</p></abstract><kwd-group><kwd>Bloodstream; Dose Concentration; Exponential Decay; Geometric Series; Medicine</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. INTRODUCTION</title><p>One of the physician’s responsibilities is to give medicine dosage for a patient in an effective manner. In this research study, the effective medicine dosage and its concentration in bloodstream of a patient are discussed in detail using two mathematical techniques: one is EDM (Exponential Decay Model) and other one is GSF (Geometric Series and its Formula). The EDM is very useful technique for simulating the dose concentration of a drug over time and GSF plays a vital role in modelling the minimum and maximum concentration of a drug administered intravenously.</p></sec><sec id="s2"><title>2. EXPONENTIAL GROWTH AND DECAY</title><p>Exponential growth and decay are rates; that is, they represent the change in some quantity over time.</p><sec id="s2_1"><title>2.1. Exponential Growth Model</title><p>A quantity say <img src="8-7300023\161b638f-2f85-4ffc-83ea-b19e4b66cb0e.jpg" />is said to be subject to exponential growth, <img src="8-7300023\93408811-2a27-4971-afaf-cc59dd5b2727.jpg" />, if the quantity <img src="8-7300023\1c4aba6b-6b7e-41c8-b085-72a862247d44.jpg" /> increases at a rate proportional to its value over time<img src="8-7300023\f4f655cc-bd7d-4aed-951c-3f4a96ba59f7.jpg" />. Symbolically, this can be expressed as follows:</p><p><img src="8-7300023\30f62b2b-9537-4074-bad9-80bc32aea6ae.jpg" />&#160; <img src="8-7300023\e87a9351-1c07-46e9-b2c8-9eaa17df6102.jpg" /> <img src="8-7300023\e0fadad7-ef17-4686-b5d3-7ee8ae6588b4.jpg" /></p><p>That is, <img src="8-7300023\f85e88f6-06c5-4ecf-b2a1-89efb9bbcb45.jpg" />, which is a differential equation.</p><p>where <img src="8-7300023\f1944e6a-325e-4032-9c72-070e84a1c004.jpg" />is the rate of change of quantity <img src="8-7300023\6f43c26c-0912-49d1-90e9-a7d4c20cecf7.jpg" /> over time<img src="8-7300023\1105222a-9900-46b5-be25-d647d8ef6a4e.jpg" />, <img src="8-7300023\949408bf-6717-4cfe-8291-bbcee5f374d4.jpg" />is the value of the quantity <img src="8-7300023\ae3cc4d9-dfd6-46f5-9204-c64dacf741da.jpg" /> at time<img src="8-7300023\886c7fcc-b2e8-43b9-ac16-b4aa5d3fc0f0.jpg" />, and <img src="8-7300023\d1840b06-1b58-4409-b843-cf273a74dc31.jpg" /> is a positive number called the growth constant.</p><p>Now, we can find solution for the differential equation</p><p><img src="8-7300023\1a13ed01-27f4-4f62-9c5f-66509e017c61.jpg" /></p><p>By rearranging this equation, we get</p><p><img src="8-7300023\b293d33f-0237-4400-9642-697321a74ae7.jpg" /></p><p>and then, by integrating this equation, we have <img src="8-7300023\d90abc09-c071-4b16-a2e1-124b11dea997.jpg" />where <img src="8-7300023\2fe5f840-1acd-4433-a35f-29795f6a5ca1.jpg" />is the constant of the integration.</p><p>By simplifying this equation, we get</p><p><img src="8-7300023\a7750a45-cb0a-482a-8cc3-de446c216cb2.jpg" />.</p><p>We can obtain <img src="8-7300023\37978c52-01ae-4c23-98e5-92defba86f6f.jpg" /> by evaluating the equation <img src="8-7300023\6ec777c6-3eb8-40ef-aa81-6ce6091f674a.jpg" />at <img src="8-7300023\1f6cb6d2-d701-4b6d-8b38-093e252abc87.jpg" />and <img src="8-7300023\b78ff6bb-f9a9-4085-a886-7969a88dac6e.jpg" />is the initial value of the quantity <img src="8-7300023\d65eed79-ee2d-4be0-819d-2595c9a7421a.jpg" /> that is denoted by <img src="8-7300023\7652c83f-9b46-46cc-b483-3f0ef2f59871.jpg" /> for our convenience.</p><p>Therefore, <img src="8-7300023\2bc158d5-b426-4869-935e-393ed8b36bf9.jpg" />, which is called the Exponential Growth Model.</p></sec><sec id="s2_2"><title>2.2. Exponential Decay Model (EDM)</title><p>A quantity <img src="8-7300023\5021c978-64aa-48fd-912a-21a03a031164.jpg" />is said to be subject to exponential decay, <img src="8-7300023\0f0ba3ed-2089-4667-a9da-bfb768a08993.jpg" />, if the quantity <img src="8-7300023\b37e71a7-99b4-4b04-bd35-788fca623f17.jpg" /> decreases at a rate proportional to its value over time<img src="8-7300023\174af46a-3663-442c-96bf-24293344bbda.jpg" />. Symbolically, this can be expressed as follows:</p><p><img src="8-7300023\e0960026-b9bf-43a3-a20b-58cc15dc468c.jpg" />&#160; <img src="8-7300023\442aa172-3205-401e-8421-5760e172c0ec.jpg" /> <img src="8-7300023\61f0aa84-beac-4e16-a9ae-c220fa22e494.jpg" /></p><p>That is, <img src="8-7300023\a6495025-6e69-4892-83c3-a2c595d36946.jpg" />where the negative sign ‘–‘ means the decrease in the quantity <img src="8-7300023\73ca3754-08a3-45bd-a6c4-5fcfe97dab75.jpg" />over time<img src="8-7300023\f82ad3c7-50ce-4515-8a93-36d1ea9f1178.jpg" />.</p><p>By solving this differential equation, we obtain <img src="8-7300023\32a4a521-ff14-4d44-a5d2-f67fbf3811ff.jpg" />, which is called the Exponential Decay Model (EDM).</p><p>Remarks: In general, <img src="8-7300023\e0c467f6-186f-4f83-a41c-2372e78b55d9.jpg" />and <img src="8-7300023\c4ad3653-54c5-43b5-a184-97e1ad64c771.jpg" />are exponential functions.</p></sec><sec id="s2_3"><title>2.3. Geometric Series and its Formula (GSF)</title><p>Traditionally, geometric series played a key role in the early development of calculus, but today, the geometric series have many key applications in medicine, biochemistry, informatics, etc.</p><p>Usually, a geometric series is the sum of the terms of the geometric sequence:</p><p><img src="8-7300023\3b3d176c-975f-4c2c-a30f-51da9efb002a.jpg" />.</p><p>Now, the sum of the geometric sequence of n terms is denoted by</p><p><img src="8-7300023\ed4eca45-50f4-4ba2-8996-8a33316c7fe1.jpg" /></p><p>where <img src="8-7300023\896680cc-cbb0-418f-b967-c99291eb8f28.jpg" /> denotes the sum, <img src="8-7300023\88ac56b2-e2a5-4768-be1a-b6b87e22639c.jpg" />the first term, <img src="8-7300023\476b2566-b57f-4d27-8b72-e7bb9afa0898.jpg" />the ratio, and <img src="8-7300023\82382d9a-5a46-4e06-80ff-744ebb6d41f6.jpg" /> the number of terms.</p><p><img src="8-7300023\0db6dc57-7e54-4dca-b828-1f637c28969b.jpg" />.</p><p>When<img src="8-7300023\7edd168c-06db-4908-9b59-28f758fd1c0a.jpg" />,</p><p><img src="8-7300023\6cfe6478-1add-4202-8c9a-f2017981e825.jpg" /> (<img src="8-7300023\37bc8a86-92cf-4e08-b17d-18ab099cbdfa.jpg" />).</p><p>and when <img src="8-7300023\a80153ca-def9-43cc-9ea2-d966afa5e346.jpg" /> or<img src="8-7300023\05724cf5-2219-47da-bf0e-99056d851e31.jpg" />,</p><p><img src="8-7300023\51a21e7a-4cae-4cad-bc90-78d8ce839461.jpg" />where<img src="8-7300023\1d8f8b18-8aff-4975-aced-e929c3008fa0.jpg" />&#160;</p><p><img src="8-7300023\a5a82330-4c48-4800-9b8e-329a4f4f0e9b.jpg" /><img src="8-7300023\d86b808c-44ce-4768-9fa1-3264d79c6506.jpg" /></p><p><img src="8-7300023\0b06363c-fbfd-4247-9a32-1758e3ad22c8.jpg" />.</p><p>In the geometric series, the first term shows a = 1.</p><p>Thus, <img src="8-7300023\59e9d2f1-8984-4968-b167-49c03b12c10b.jpg" />when <img src="8-7300023\62f1bbc1-9b25-408f-a124-2d8b700961f0.jpg" /></p></sec></sec><sec id="s3"><title>3. EDM AND GSF IN EFFECTIVE MEDICINE DOSAGE</title><p>In this section, we discuss about the effective medicine dosage using Exponential Decay Model (EDM) and Geometric Series and its Formulae (GSF). Let us consider a patient is given the same dose of a medicine at equally spaced time intervals. The dose concentration in the bloodstream decreases as the drug is broken down by the body. However, it does not disappear completely before the next dose is given. Let us understand the exponential decay model for the concentration of a drug in a patient’s bloodstream. It is assumed that the drug is administered intravenously and that the concentration of the drug in the bloodstream jumps almost immediately to its highest level, i.e. the concentration of the drug decays exponentially.</p><p>Now, we use the function <img src="8-7300023\d2c5f2e4-c719-4ec0-abc9-f4b5b96d7b9f.jpg" />to represent a dose concentration at time t and <img src="8-7300023\629bc5d8-fb11-4d3b-9c7b-fc14d2a48dcf.jpg" />to represent the concentration just after the dose is administered intravenously. Then the exponential decay model is formulated by</p><p><img src="8-7300023\7517dfad-8ce7-4be8-afc4-8b889b8be57c.jpg" /></p><p>where k is the decay constant or a property of the particular drug being used.</p><p>Now, let us consider that <img src="8-7300023\f25ea0ba-4232-4549-83d3-6241a534cb2e.jpg" />be the first dose concentration at time t and that<img src="8-7300023\f58cc0cc-3beb-4198-b229-244df0c40735.jpg" />the concentration at time t = 0 just after the first dose is administered intravenously. Suppose that at t = c, a second dose of the drug is given to the patient. The concentration of the drug in the bloodstream jumps almost immediately to its highest level <img src="8-7300023\97c16291-5c04-4447-a868-710dac8ccc63.jpg" />and then the concentration is diffused so rapidly throughout the bloodstream over time (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>The expression <img src="8-7300023\2f474ac2-0deb-4fc4-ad79-300b0ec87554.jpg" />is valid as long as only a single dose is given [<xref ref-type="bibr" rid="scirp.1589-ref1">1</xref>]. However, suppose that, at t = c, a second dose is given and that the amount of thedrug administered is the same as the first dose. Ac-</p><p>cording to the exponential decay model, the concentration will jump immediately by an amount equal to <img src="8-7300023\42d1dfa0-8437-4ca2-94c7-9ea2fd8ba180.jpg" /> when the second dose is given. However, when the second dose is given, there is still some of the drug in the bloodstream remaining from the first dose. This means that to compute the concentration just after the second dose, we have to add the value <img src="8-7300023\33f118be-5ead-42ea-b667-9492f40f4223.jpg" /> to the concentration remaining from the first dose (<xref ref-type="fig" rid="fig1">Figure 1</xref>). During the time between the second and third doses, the concentration decays exponentially from this value. To find the concentration after the third dose, the same process must be repeated.</p><p>At t = c, the dose concentration is calculated as <img src="8-7300023\ecc7c9a8-bdc9-4dd1-a24b-04928897fc5b.jpg" /> just before the second dose is administered intravenously.</p><p>Here,<img src="8-7300023\fc2fdf0b-d44e-4be6-b8fb-6c22ac597c10.jpg" />.</p><p>When the second dose is administered intravenously, the concentration jumps by an increment<img src="8-7300023\0fdf0954-b5e7-4683-9261-b0b3b8aea597.jpg" />, i.e. the concentration just after the second dose given is</p><p><img src="8-7300023\f2755f36-1b4f-480a-970c-8374ca43209b.jpg" />.</p><p>Note that <img src="8-7300023\ecf6c498-70ae-4a06-bc7d-84233eaed685.jpg" />denotes ‘just before the new dose is administered’ and <img src="8-7300023\454ea511-a696-4eeb-bf04-4c8393a0efef.jpg" />denotes ‘just after the new dose is administered’.</p><p>The concentration then decays from this value according to the exponential decay rule [<xref ref-type="bibr" rid="scirp.1589-ref2">2</xref>], but with a slight twist. The twist is that the initial concentration is at t = c, instead of t = 0. One way to handle this is to write the exponential term as <img src="8-7300023\be16a8c8-5d1a-4307-ad0d-2cdcf6e0a306.jpg" />so that at t = c, the exponent is 0. If we do this, then we can write the concentration as a function of time as</p><p><img src="8-7300023\09e07921-2dbe-41b1-91dd-9cb66e4b25d7.jpg" /></p><p>This function is only valid after the second dose is administered and before the third dose is given. That is, for <img src="8-7300023\e7077231-a28a-490f-9ab8-21e8144d74c8.jpg" /></p><p>Now, suppose that a third dose of the drug is given at t = 2c. The concentration just before the third dose is given would be<img src="8-7300023\359909e6-75d5-41eb-a0c9-9721ac0d4937.jpg" />, which is</p><p><img src="8-7300023\996ffaa5-f623-4ad7-8f77-b92e0691f8ae.jpg" /></p><p>i.e., <img src="8-7300023\750814b4-03cb-40b2-bac8-50d36d5e693f.jpg" /></p><p>When the third dose is given, the concentration would jump again by <img src="8-7300023\1ac80f5d-2422-4497-b6f9-a6b2c6245913.jpg" />and the concentration just after the third dose would be</p><p><img src="8-7300023\f924130a-955f-4707-9b31-738dc03e49b7.jpg" /></p><p>Now, suppose that a forth dose of the drug is given at t = 3c. The concentration just before the forth dose is given would be<img src="8-7300023\77762941-c573-49d4-8e7c-c25f47502ff9.jpg" />, which is</p><p><img src="8-7300023\e43eb94c-e56b-4eb1-8b90-fecbd970f85b.jpg" /></p><p>When the third dose is given, the concentration would jump again by <img src="8-7300023\289a27b7-4872-4ef4-9b57-c6c35f05f756.jpg" />and the concentration just after the third dose would be</p><p><img src="8-7300023\ddf365d2-60b8-43c0-9e25-9e2c803a8335.jpg" /></p><p>Let us consider the process is continued up to n-th dosei.e. <img src="8-7300023\17cd7bf9-bc39-47b1-bf4a-f5b7073f72de.jpg" /></p><p>The concentration just before the n-th dose of the drug would be</p><disp-formula id="scirp.1589-formula144300"><label>(1)</label><graphic position="anchor" xlink:href="8-7300023\0b44df51-60ba-4219-8182-bdf6312dd1fa.jpg"  xlink:type="simple"/></disp-formula><p>The concentration just after the n-th dose of the drug would be</p><disp-formula id="scirp.1589-formula144301"><label>(2)</label><graphic position="anchor" xlink:href="8-7300023\5f216fdc-f936-4add-bc3b-5f9c9136e092.jpg"  xlink:type="simple"/></disp-formula><p>Let <img src="8-7300023\a14c1cb3-dc34-4066-b2ee-8dd1797c4449.jpg" /></p><p>Note that<img src="8-7300023\2700acc8-5bea-42d9-aa4a-eb2798b01ee5.jpg" />, since k and c are both positive constants.</p><p>From the geometric series (1) and (2), we formulate as</p><disp-formula id="scirp.1589-formula144302"><label>(3)</label><graphic position="anchor" xlink:href="8-7300023\69ccd5e8-5d3f-4344-a912-8c7f6f62703d.jpg"  xlink:type="simple"/></disp-formula><p>and</p><disp-formula id="scirp.1589-formula144303"><label>(4)</label><graphic position="anchor" xlink:href="8-7300023\c2dd01ad-7e13-42d0-be8b-1dcca469990d.jpg"  xlink:type="simple"/></disp-formula><p>The Eqs.3 and 4 are formulae for the partial sum of a geometric series.</p><p>Suppose a treatment for a patient is continued indefinitely. Then the Eq.4 becomes</p><p><img src="8-7300023\e7b27f56-510c-433a-8a53-263548baa353.jpg" /></p><p><img src="8-7300023\0bbe4000-d2aa-49aa-a0a5-bc98bc07a2ed.jpg" />.</p><p>Now, we conclude from the results that the minimum concentration is the concentration just before the second dose is giveni.e. <img src="8-7300023\95099d59-d079-4805-a541-59d3268d3f7d.jpg" /> and that the maximum concentration is the concentration just after the last dose is given, i.e.</p><p><img src="8-7300023\2519c541-fc5b-4449-90fa-677489f9cdcd.jpg" /></p></sec><sec id="s4"><title>4. DISCUSSION</title><p>For example, a patient is injected a particular drug. Just after the drug is injected, the concentration is 1.5 mg/ml (milligrams per milliliter). After four hours the concentration has dropped to 0.25 mg/ml.</p><p>Here, <img src="8-7300023\53a09e21-a40b-401f-bc68-091dad67589f.jpg" />at t = 4 and <img src="8-7300023\1feff982-cf38-4ac8-92f1-0e14e52092fe.jpg" />at t = 0. So,<img src="8-7300023\3ee0a7fc-30b4-4487-82db-d72a384f134f.jpg" />.</p><p>To find k, Maple commands were used [<xref ref-type="bibr" rid="scirp.1589-ref8">8</xref>].</p><p>Result: k = 0.4479398673.</p><p>A problem facing physicians is the fact that for most drugs, there is a concentration,<img src="8-7300023\4f7385d0-1ff3-4bb0-af51-620602fb7f9a.jpg" /> below which the drug is ineffective and a concentration, <img src="8-7300023\81305db4-382a-4411-ad1f-a2da2d4fb0e3.jpg" />above which the drug is dangerous. Thus, the concentration <img src="8-7300023\afb12d3e-5e60-4ad5-a04a-6c117abe2604.jpg" />must satisfy the condition:<img src="8-7300023\84eda838-f46a-416f-b07c-8401f6eec600.jpg" />. For example, suppose that for the drug in the experiment [<xref ref-type="bibr" rid="scirp.1589-ref8">8</xref>] the maximum safe concentration is 5 mg/ml, or M = 5, and the minimum effective concentration is 0.6 mg/ml, or m = 0.6. Then the initial dose must not produce a concentration greater than 5 mg/ml.</p></sec><sec id="s5"><title>5. CONCLUSIONS</title><p>In the research study, the EDM (Exponential Decay Model) and GSF (Geometric Series and its Formula) discuss in detail for effective medicine dosage. Especially the two techniques have been used for analysis of dose concentration in bloodstream of a patient and modelling of minimum and maximum concentration of a drug administered intravenously.</p></sec><sec id="s6"><title>REFERENCES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.1589-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Geometric series and effective medicine dosage. Mathematical Science, Worcester Polytechnic Institute. http:// www.math.wpi.edu/Course_Materials/MA1023D09/Labs/drug.pdf</mixed-citation></ref><ref id="scirp.1589-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple"> 
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