SlideShare a Scribd company logo
1 of 19
Determination of absorption and
elimination rates on base of
compartment model
Prepared by Abhinay Ashok Jha
from final year
Guided by Mr. Rehan khan
(associate professor)
continues assessment 2018-2019
Khatoon Minority Women’s Social Welfare & Educational Society’s
Royal College of Pharmaceutical Education & Research Sayne Khurd,
Malegaon. (NASHIK) 1
SR. NO. Contain Slide numbers
1 ABSORPTION & ELIMINATION 3& 4
2 What is Compartment model? 5
3 Absorption by One-Compartment Open Model 7
4 Zero-order Absorption model & First –Absorption
Model
11 &12
5 Elimination Rate Constant 15
6 URINARY EXCRETION DATA
(Disposition Viewed from Urine only)
16
7 Reference 18
2
ABSORPTION
Drug absorption is the movement of the drug from its site
of administration into the bloodstream. Bioavailability
(F) is the fraction of administered drug that reaches the
systemic circulation
3
ELIMINATION
In pharmacology the elimination or excretion of a drug is
understood to be any one of a number of processes by which a
drug is eliminated (that is, cleared and excreted) from an
organism either in an unaltered form (unbound molecules) or
modified as a metabolite
4
What is Compartment model?
A compartment model is a type of mathematical model used for
describing the way materials or energies are transmitted among the
compartments of a system. Each compartment is assumed to be a
homogeneous entity within which the entities being modelled are
equivalent. For instance, in a pharmacokinetic model, the
compartments may represent different sections of a body within
which the concentration of a drug is assumed to be uniformly equal.
Typs of compartment models
1. Single-compartment model
2. Multi-Compartment Model
5
What is one compartment open model?
This model assumes that the drug can enter or leave the body (ie, the model is “open”), and
the entire body acts like a single, uniform compartment. The simplest route of drug
administration from a modeling perspective is a rapid intravenous injection (IV bolus).
What is the two compartment model of body composition?
These methods are based on the premise that the body can be separated into two chemically
distinct compartments, namely, the fat mass (FM) and fat-free mass (FFM). ... A four-
compartment model (FM, water, bone mineral, residual) of body composition analysis has
therefore emerged (2, 7, 8, 11, 27).
What is PK data?
Pharmacokinetics (from Ancient Greek pharmakon "drug" and kinetikos "moving, putting in
motion"; see chemical kinetics), sometimes abbreviated as PK, is a branch of pharmacology
dedicated to determining the fate of substances administered to a living organism.
6
Absorption by One-Compartment Open Model
Extravascular Asministration
The rate of absorption may be described mathematically as a zeroorder or first-order process. A large
number of plasma concentration-time profiles can be described by a one-compartment model with first-
order absorption and elimination. However, under certain conditions, the absorption of some drugs may
be better described by assuming zero-order(constant rate) kinetics. Differences between zero-order and
first-order kinetics are illustrated in Fig. 1.
Zero-order absorption is characterized by a constant rate of absorption. It is independent of amount
remaining to be absorbed (ARA), and its regular ARA versus t plot is linear with slope equal to tate of
absorption while the semilog plot is described by an ever-increasing gradient with time. In contrast, the
first –order absorption process is distinguished by a decline in the rate with ARA i.e. absorption rate is
dependent upon ARA ; its regular plot is curvilinear and semilog plot a straight line with absorption
rate as its slope.
7
Fig. 1 Distinction between zero-order and first-order
absorption processes.
Figure a is regular plot, and Figure b a semilog plot of
amount of drug remaining to be
Absorbed (ARA) versus time t.
After e.v. administration, the rate of change in the amount of
drug in the body dX/dt is
the difference between the rate of input (absorption) dXev/dt
and rate of output (elimination).
dX/dt = Rate of absorption – Rate of elimination
dX dXev dXE
----- = ------- - ------- (1)
dt dt dt
Fig. 2 The absorption and elimination phases of
the plasma concentration –
time profile obtained after extravascular
administration of a single dose of a drug.
8
For a drug that follows one-compartment kinetics, the plasma concentration profile is
characterized by absorption phase, post-absorption phase and elimination phase (Fig . 2) During the
absorption phase, the rate of absorption is greater than the rate of elimination
dXev dXE
------ > ------- (2)
dt dt
At peak plasma concentration, the rate of absorption equals the rate of elimination and the change in
amount of drug in the body is zero.
dXev dXE
------ = ------- (3)
dt dt
During the post-absorption phase, there is some drug at the extravascular site still remaining to be absorbed
and the rate of elimination at this stage is greater than the absorption rate.
dXev dXE
------ < ------- (4)
dt dt
After completion of drug absorption, its rate becomes zero and the plasma level time curve is
characterized only by the elimination phase.
9
Zero-order Absorption model
The model is similar to that for constant rate infusion.
The rate of drug absorption, as in the case of several controlled drug delivery systems,
is constant and continues until the amount of drug at the absorption site (e.g. GIT) is
depleted. All equation that explains the plasma concentration-time profile for constant
rate i.v. infusiion are also applicable to this model.
10
First –Absorption Model
For a drug that enters the body by a first –order absorption process, gets distributed in the body
according to one-compartment kinetics, and is eliminated by a first-order process, the model can
be depicted as follows:
The differential form of the equation 1 is
Dx/dt = Ka Xa - KEX (3)
Where Ka = first-order absorption rate constant, and
Xa = amount of drug at the absorption site remaining to be absorbed i.e. A.R.A
Integration of equation 5 yields:
Ka F X0
X = ‐‐‐‐‐‐‐‐‐ e –KEt ‐ e –Kat (6)
(Ka – KE) 11
Transforming into concentration terms, the equation
becomes:
Ka F X0
C = ‐‐‐‐‐‐‐‐‐‐‐ e –KEt ‐ e –Kat (8)
Vd(Ka – KE)
Where F = fraction of drug absorption systemically after
e.v. administration. A typical plasma
concentration-time profile of a drug administered e.v. is
shown in Fig.7
12
Elimination Rate Constant:
This parameter can be computed from the elimination phase of the plasma level time profile. For
most drugs administered e.v., absorption rate is significantly greater than the elimination rate i.e.
Kat > KEt. Hence, one can say that e-Kat approaches zero:I much faster than does e-K
much faster than does e-K
Et . At such a stage, when absorption is complete, the change in plasma
concentration is dependent only on elimination rate and equation 5.55 reduces to:
Ka F X0
Cmax = ‐‐‐‐‐‐‐‐‐‐‐‐‐‐ e –K Et (5.62)
Vd(Ka –KE)
Transforming into log form, the equation becomes:
Ka F X0 KEt
logC = log ‐‐‐‐‐‐‐‐‐‐‐‐ ‐ ‐‐‐‐‐ (5.63)
Vd(Ka –KE) 2.303
A plot of log C versus t yields a straight line with slope –KE/2.303 (half-life can then be computed
from KE). KE can also be estimated from urinary excretion data (see the section on urinary
excretion data).
13
Apparent Volume of Distribution and Clearance :
For a drug that follows one-compartment
kinetics after e.v. administration. Vd and ClT can be computed from equation 5.16 and 5.17
respectively Where F is the fraction absorbed into the systemic circulation.
F X0
Vd = ‐‐‐‐‐‐‐‐‐‐‐‐‐‐ (10)
KE AUC
F X0
ClT = ‐‐‐‐‐‐‐‐‐‐‐‐‐‐ (11)
AUC
14
URINARY EXCRETION DATA
(Disposition Viewed from Urine only)
In the absence of plasma level-time data, useful information can still be obtained from urine data
regarding elimination kinetics of a drug. The method has several advantages in the analysis of a
pharmacokinetic system:
1. The method is useful when there is lack of sufficiently sensitive analytic techniques to
measure concentration of drugs in plasma with accuracy.
2. The method is noninvasive and therefore better subject compliance is assured.
3. Convenience of collecting urine samples in comparison to drawing of blood periodically.
4. Often, a less sensitive analytic method is required for determining urine drug
concentration as compared to plasma concentrations; if the urine drug concentration are
low, assaying of larger sample volumes is relatively easy.
5. First – order elimination, excretion and absorption rate constants and fraction excreted
unchanged can be computed from such data; first order metabolism or extrarenal
excretion rate constant can also be calculated subsequently from the difference
(KE – Ke) = Km.
15
6. Direct measurement of bioavailability, both absolute and relative, is possible without
the necessity of fitting the data to a mathematical model.
7. When coupled with plasma level-time data it can also be used to estimate renal
clearance of unchanged drug according to following equation:
Total amount of drug excreted unchanged
ClR = ‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐. (12)
Area under the plasma level‐time curve
If Vd is known, total systemic clearance and nonrenal clearance can also be calculated.
One cannot however compute Vd and ClT from urine data alone. One must also
remember that urinary excretion data is not an accurate substitute for the plasma level
data. At best, the data can
be employed as a rough estimate of the pharmacokinetic parameters. Moreover, if the
drug product provides a very slow drug release or if the drug has a very long biological
half-life, the resulting low urinary drug concentration may be too dilute to be assessed
with accuracy. In the latter case, i.e. for drugs with t1/2, urine may have to be collected
for several days to account for total drug excreted.
16
5. Volunteers must be instructed to completely empty their bladder while
collecting urine samples
.6 . Frequent sampling should be done in order to obtain a good curve.
7. During sampling, the exact time and volume of urine excreted should be noted.
8. An individual collection period should not exceed one biologic half-life tof the
drug and ideally should be considerably less.
9. Urine samples must be collected for at least 7 biological half-lives in order to
ensure collection of more than 99% of excreted drug.
10. Changes in urine pH and urine volume may after the urinary excretion rate.
The urine data can be set as shown in the table 5.5. Observations include times of
urine collection, volumes collected and concentration of unchanged drug in each
sample. These data are treated to derive further information.
17
Rate of Excretion Method:
The rate of urinary drug excretion dXu/dt is proportional to
the amount of drug in the body X and written as:
dXu
----- = KeX (5.77)
dt
Where Ke = first order urinary excretion rate constant. According to first-order
disposition kinetics, X = Xo e-K
Et (equation 5.5). Substituting it in above equation yields:
dXu
----- = KeX0 e-K
Et (5.78)
dt
Where X0 = dose administered (i.v. bolus). Transforming to log form the equation
becomes:
dXu KEt
log ----- = log KeX0 - ------- (5.79)
dt 2.303
The above equation states that a semilog plot of rate of excretion versus time yields a
straight line with slope –KE/2.303 (Fig. 5.11). It must therefore be remembered that the
slope of such an excretion rate versus time plot is related to elimination rate constant KE
and not to excretion rate constant Ke. The excretion rate constant can be obtained from
the Y-intercept (log Ke Xo). Elimination half-life and nonrenal elimination rate constant 18
Thank you
19

More Related Content

What's hot

Compartment models- Assessment of Pharmacokinetic Parameters from Plasma and ...
Compartment models- Assessment of Pharmacokinetic Parameters from Plasma and ...Compartment models- Assessment of Pharmacokinetic Parameters from Plasma and ...
Compartment models- Assessment of Pharmacokinetic Parameters from Plasma and ...Mayuri N Jagtap
 
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolusPharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolusAreej Abu Hanieh
 
Two compartment model iv bolus muju
Two compartment model iv bolus mujuTwo compartment model iv bolus muju
Two compartment model iv bolus mujuHirepravin
 
Pharmacokinetics / Biopharmaceutics - Multi compartment IV bolus
Pharmacokinetics / Biopharmaceutics - Multi compartment IV bolusPharmacokinetics / Biopharmaceutics - Multi compartment IV bolus
Pharmacokinetics / Biopharmaceutics - Multi compartment IV bolusAreej Abu Hanieh
 
Physiological pharmacokinetic models
Physiological pharmacokinetic modelsPhysiological pharmacokinetic models
Physiological pharmacokinetic modelsSanjay Yadav
 
Pharmacokinetics of IV infusion, one-compartment open model
Pharmacokinetics of IV infusion, one-compartment open modelPharmacokinetics of IV infusion, one-compartment open model
Pharmacokinetics of IV infusion, one-compartment open modelAsuprita Patel
 
Compartmental analysis
Compartmental analysisCompartmental analysis
Compartmental analysisSuny Bisshojit
 
A seminar on one & two compartment open model extra vascular administration
A seminar on one & two compartment open model extra vascular administrationA seminar on one & two compartment open model extra vascular administration
A seminar on one & two compartment open model extra vascular administrationMalla Reddy College of Pharmacy
 
PHARMACOKINETICS: BASIC CONSIDERATION & PHARMACOKINETIC MODELS
PHARMACOKINETICS: BASIC CONSIDERATION & PHARMACOKINETIC MODELSPHARMACOKINETICS: BASIC CONSIDERATION & PHARMACOKINETIC MODELS
PHARMACOKINETICS: BASIC CONSIDERATION & PHARMACOKINETIC MODELSDollySadrani
 
Urinaryexcreation studies
Urinaryexcreation studiesUrinaryexcreation studies
Urinaryexcreation studiesSonam Gandhi
 
Multi compartment models
Multi compartment models Multi compartment models
Multi compartment models SafalataJain
 
One compartment modelling
One compartment modellingOne compartment modelling
One compartment modellingAnupamSaha30
 
Pharmacokinetic analysis of mathematical data - Pharmacokinetic models
Pharmacokinetic analysis of mathematical data - Pharmacokinetic modelsPharmacokinetic analysis of mathematical data - Pharmacokinetic models
Pharmacokinetic analysis of mathematical data - Pharmacokinetic modelsJyotsana Bhatt
 
Compartment models
Compartment modelsCompartment models
Compartment modelsUmair hanif
 

What's hot (20)

Compartment models- Assessment of Pharmacokinetic Parameters from Plasma and ...
Compartment models- Assessment of Pharmacokinetic Parameters from Plasma and ...Compartment models- Assessment of Pharmacokinetic Parameters from Plasma and ...
Compartment models- Assessment of Pharmacokinetic Parameters from Plasma and ...
 
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolusPharmacokinetics / Biopharmaceutics - One compartment model IV bolus
Pharmacokinetics / Biopharmaceutics - One compartment model IV bolus
 
Pharmacokinetic
PharmacokineticPharmacokinetic
Pharmacokinetic
 
Two compartment model iv bolus muju
Two compartment model iv bolus mujuTwo compartment model iv bolus muju
Two compartment model iv bolus muju
 
Pharmacokinetics / Biopharmaceutics - Multi compartment IV bolus
Pharmacokinetics / Biopharmaceutics - Multi compartment IV bolusPharmacokinetics / Biopharmaceutics - Multi compartment IV bolus
Pharmacokinetics / Biopharmaceutics - Multi compartment IV bolus
 
Pharmacokinetic models
Pharmacokinetic modelsPharmacokinetic models
Pharmacokinetic models
 
Physiological pharmacokinetic models
Physiological pharmacokinetic modelsPhysiological pharmacokinetic models
Physiological pharmacokinetic models
 
Pharmacokinetics of IV infusion, one-compartment open model
Pharmacokinetics of IV infusion, one-compartment open modelPharmacokinetics of IV infusion, one-compartment open model
Pharmacokinetics of IV infusion, one-compartment open model
 
Compartmental analysis
Compartmental analysisCompartmental analysis
Compartmental analysis
 
Compartment Model
Compartment ModelCompartment Model
Compartment Model
 
A seminar on one & two compartment open model extra vascular administration
A seminar on one & two compartment open model extra vascular administrationA seminar on one & two compartment open model extra vascular administration
A seminar on one & two compartment open model extra vascular administration
 
PHARMACOKINETICS: BASIC CONSIDERATION & PHARMACOKINETIC MODELS
PHARMACOKINETICS: BASIC CONSIDERATION & PHARMACOKINETIC MODELSPHARMACOKINETICS: BASIC CONSIDERATION & PHARMACOKINETIC MODELS
PHARMACOKINETICS: BASIC CONSIDERATION & PHARMACOKINETIC MODELS
 
Urinaryexcreation studies
Urinaryexcreation studiesUrinaryexcreation studies
Urinaryexcreation studies
 
Multi compartment models
Multi compartment models Multi compartment models
Multi compartment models
 
One compartment modelling
One compartment modellingOne compartment modelling
One compartment modelling
 
Pharmacokinetic analysis of mathematical data - Pharmacokinetic models
Pharmacokinetic analysis of mathematical data - Pharmacokinetic modelsPharmacokinetic analysis of mathematical data - Pharmacokinetic models
Pharmacokinetic analysis of mathematical data - Pharmacokinetic models
 
Multicompartment Models
Multicompartment ModelsMulticompartment Models
Multicompartment Models
 
Compartment models
Compartment modelsCompartment models
Compartment models
 
PHARMACOKINETIC MODELS
PHARMACOKINETIC MODELSPHARMACOKINETIC MODELS
PHARMACOKINETIC MODELS
 
Problem Set One
Problem Set OneProblem Set One
Problem Set One
 

Similar to Determination of absorption and elimination rates on base of compartment model

Compartment Modelling
Compartment ModellingCompartment Modelling
Compartment ModellingPallavi Kurra
 
ONE COMPARTMENT MODEL.pptx
ONE COMPARTMENT MODEL.pptxONE COMPARTMENT MODEL.pptx
ONE COMPARTMENT MODEL.pptxarti10aug
 
Pharmacokinetic Models by Dr. Ram D. Bawankar.ppt
Pharmacokinetic Models by Dr. Ram D.  Bawankar.pptPharmacokinetic Models by Dr. Ram D.  Bawankar.ppt
Pharmacokinetic Models by Dr. Ram D. Bawankar.pptRamDBawankar1
 
pharmacokinetics .Pharm.D(one compartment).pptx
pharmacokinetics .Pharm.D(one compartment).pptxpharmacokinetics .Pharm.D(one compartment).pptx
pharmacokinetics .Pharm.D(one compartment).pptxrameshjanga11
 
Pharacokinetics power point for pharmacy
Pharacokinetics power point  for pharmacyPharacokinetics power point  for pharmacy
Pharacokinetics power point for pharmacyemebetnigatu1
 
one compartment open model
one compartment open model one compartment open model
one compartment open model NadiaSraboni
 
Pharma co kinetics compartmental modeling
Pharma co kinetics compartmental modeling Pharma co kinetics compartmental modeling
Pharma co kinetics compartmental modeling Manjit Kaur
 
one compartment model ppt
one compartment model pptone compartment model ppt
one compartment model pptSheetal Jha
 
3.3 Multi compartment models.pptx
3.3 Multi compartment models.pptx3.3 Multi compartment models.pptx
3.3 Multi compartment models.pptxNeha Dand
 
4_2018_11_05!08_27_52_PM.pdf
4_2018_11_05!08_27_52_PM.pdf4_2018_11_05!08_27_52_PM.pdf
4_2018_11_05!08_27_52_PM.pdfMrAlex28
 
Expt. 13 Calculation of pharmacokinetic parameters from a given data
Expt. 13 Calculation of pharmacokinetic parameters from a given dataExpt. 13 Calculation of pharmacokinetic parameters from a given data
Expt. 13 Calculation of pharmacokinetic parameters from a given dataVISHALJADHAV100
 
COMPARTMENT BODY MEDELING-1.pptx
COMPARTMENT  BODY MEDELING-1.pptxCOMPARTMENT  BODY MEDELING-1.pptx
COMPARTMENT BODY MEDELING-1.pptxSumant Saini
 
Toxicokinetics in preclinical studies by Priyabrata Panda
Toxicokinetics in preclinical studies by Priyabrata PandaToxicokinetics in preclinical studies by Priyabrata Panda
Toxicokinetics in preclinical studies by Priyabrata PandaPriyabrata Panda
 

Similar to Determination of absorption and elimination rates on base of compartment model (20)

2.pharmacokinetics
2.pharmacokinetics2.pharmacokinetics
2.pharmacokinetics
 
Compartment Modelling
Compartment ModellingCompartment Modelling
Compartment Modelling
 
Onecompartmentmodeling
OnecompartmentmodelingOnecompartmentmodeling
Onecompartmentmodeling
 
ONE COMPARTMENT MODEL.pptx
ONE COMPARTMENT MODEL.pptxONE COMPARTMENT MODEL.pptx
ONE COMPARTMENT MODEL.pptx
 
Pharmacokinetic Models
Pharmacokinetic ModelsPharmacokinetic Models
Pharmacokinetic Models
 
Pharmacokinetic Models by Dr. Ram D. Bawankar.ppt
Pharmacokinetic Models by Dr. Ram D.  Bawankar.pptPharmacokinetic Models by Dr. Ram D.  Bawankar.ppt
Pharmacokinetic Models by Dr. Ram D. Bawankar.ppt
 
pharmacokinetics .Pharm.D(one compartment).pptx
pharmacokinetics .Pharm.D(one compartment).pptxpharmacokinetics .Pharm.D(one compartment).pptx
pharmacokinetics .Pharm.D(one compartment).pptx
 
Pharmacokinetics
PharmacokineticsPharmacokinetics
Pharmacokinetics
 
TOXICOKINETICS
TOXICOKINETICSTOXICOKINETICS
TOXICOKINETICS
 
Pharacokinetics power point for pharmacy
Pharacokinetics power point  for pharmacyPharacokinetics power point  for pharmacy
Pharacokinetics power point for pharmacy
 
one compartment open model
one compartment open model one compartment open model
one compartment open model
 
Pharma co kinetics compartmental modeling
Pharma co kinetics compartmental modeling Pharma co kinetics compartmental modeling
Pharma co kinetics compartmental modeling
 
Pocket Guide: Pharmacokinetics Made Easy - sample
Pocket Guide: Pharmacokinetics Made Easy - sample Pocket Guide: Pharmacokinetics Made Easy - sample
Pocket Guide: Pharmacokinetics Made Easy - sample
 
one compartment model ppt
one compartment model pptone compartment model ppt
one compartment model ppt
 
3.3 Multi compartment models.pptx
3.3 Multi compartment models.pptx3.3 Multi compartment models.pptx
3.3 Multi compartment models.pptx
 
4_2018_11_05!08_27_52_PM.pdf
4_2018_11_05!08_27_52_PM.pdf4_2018_11_05!08_27_52_PM.pdf
4_2018_11_05!08_27_52_PM.pdf
 
Expt. 13 Calculation of pharmacokinetic parameters from a given data
Expt. 13 Calculation of pharmacokinetic parameters from a given dataExpt. 13 Calculation of pharmacokinetic parameters from a given data
Expt. 13 Calculation of pharmacokinetic parameters from a given data
 
COMPARTMENT BODY MEDELING-1.pptx
COMPARTMENT  BODY MEDELING-1.pptxCOMPARTMENT  BODY MEDELING-1.pptx
COMPARTMENT BODY MEDELING-1.pptx
 
Toxicokinetics in preclinical studies by Priyabrata Panda
Toxicokinetics in preclinical studies by Priyabrata PandaToxicokinetics in preclinical studies by Priyabrata Panda
Toxicokinetics in preclinical studies by Priyabrata Panda
 
multiple-dosage-regimen.pdf
multiple-dosage-regimen.pdfmultiple-dosage-regimen.pdf
multiple-dosage-regimen.pdf
 

More from AbhinayJha3

Fundamental concept of modified drug release
Fundamental concept of modified drug releaseFundamental concept of modified drug release
Fundamental concept of modified drug releaseAbhinayJha3
 
Fundamental concept of modified drug release
Fundamental concept of modified drug releaseFundamental concept of modified drug release
Fundamental concept of modified drug releaseAbhinayJha3
 
processing and manufacturing of small volume parental
processing and manufacturing of small volume parentalprocessing and manufacturing of small volume parental
processing and manufacturing of small volume parentalAbhinayJha3
 
(Anti-fungal Drugs) pharmacology
(Anti-fungal Drugs) pharmacology (Anti-fungal Drugs) pharmacology
(Anti-fungal Drugs) pharmacology AbhinayJha3
 
penicillin (Chemistry)
penicillin (Chemistry) penicillin (Chemistry)
penicillin (Chemistry) AbhinayJha3
 
Medicines and Healthcare products Regulatory Agency
Medicines and Healthcare products Regulatory AgencyMedicines and Healthcare products Regulatory Agency
Medicines and Healthcare products Regulatory AgencyAbhinayJha3
 

More from AbhinayJha3 (6)

Fundamental concept of modified drug release
Fundamental concept of modified drug releaseFundamental concept of modified drug release
Fundamental concept of modified drug release
 
Fundamental concept of modified drug release
Fundamental concept of modified drug releaseFundamental concept of modified drug release
Fundamental concept of modified drug release
 
processing and manufacturing of small volume parental
processing and manufacturing of small volume parentalprocessing and manufacturing of small volume parental
processing and manufacturing of small volume parental
 
(Anti-fungal Drugs) pharmacology
(Anti-fungal Drugs) pharmacology (Anti-fungal Drugs) pharmacology
(Anti-fungal Drugs) pharmacology
 
penicillin (Chemistry)
penicillin (Chemistry) penicillin (Chemistry)
penicillin (Chemistry)
 
Medicines and Healthcare products Regulatory Agency
Medicines and Healthcare products Regulatory AgencyMedicines and Healthcare products Regulatory Agency
Medicines and Healthcare products Regulatory Agency
 

Recently uploaded

Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
Atmosphere science 7 quarter 4 .........
Atmosphere science 7 quarter 4 .........Atmosphere science 7 quarter 4 .........
Atmosphere science 7 quarter 4 .........LeaCamillePacle
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementmkooblal
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfphamnguyenenglishnb
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersSabitha Banu
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxEyham Joco
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 

Recently uploaded (20)

Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
Atmosphere science 7 quarter 4 .........
Atmosphere science 7 quarter 4 .........Atmosphere science 7 quarter 4 .........
Atmosphere science 7 quarter 4 .........
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of management
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Raw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptxRaw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptx
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginners
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptx
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 

Determination of absorption and elimination rates on base of compartment model

  • 1. Determination of absorption and elimination rates on base of compartment model Prepared by Abhinay Ashok Jha from final year Guided by Mr. Rehan khan (associate professor) continues assessment 2018-2019 Khatoon Minority Women’s Social Welfare & Educational Society’s Royal College of Pharmaceutical Education & Research Sayne Khurd, Malegaon. (NASHIK) 1
  • 2. SR. NO. Contain Slide numbers 1 ABSORPTION & ELIMINATION 3& 4 2 What is Compartment model? 5 3 Absorption by One-Compartment Open Model 7 4 Zero-order Absorption model & First –Absorption Model 11 &12 5 Elimination Rate Constant 15 6 URINARY EXCRETION DATA (Disposition Viewed from Urine only) 16 7 Reference 18 2
  • 3. ABSORPTION Drug absorption is the movement of the drug from its site of administration into the bloodstream. Bioavailability (F) is the fraction of administered drug that reaches the systemic circulation 3
  • 4. ELIMINATION In pharmacology the elimination or excretion of a drug is understood to be any one of a number of processes by which a drug is eliminated (that is, cleared and excreted) from an organism either in an unaltered form (unbound molecules) or modified as a metabolite 4
  • 5. What is Compartment model? A compartment model is a type of mathematical model used for describing the way materials or energies are transmitted among the compartments of a system. Each compartment is assumed to be a homogeneous entity within which the entities being modelled are equivalent. For instance, in a pharmacokinetic model, the compartments may represent different sections of a body within which the concentration of a drug is assumed to be uniformly equal. Typs of compartment models 1. Single-compartment model 2. Multi-Compartment Model 5
  • 6. What is one compartment open model? This model assumes that the drug can enter or leave the body (ie, the model is “open”), and the entire body acts like a single, uniform compartment. The simplest route of drug administration from a modeling perspective is a rapid intravenous injection (IV bolus). What is the two compartment model of body composition? These methods are based on the premise that the body can be separated into two chemically distinct compartments, namely, the fat mass (FM) and fat-free mass (FFM). ... A four- compartment model (FM, water, bone mineral, residual) of body composition analysis has therefore emerged (2, 7, 8, 11, 27). What is PK data? Pharmacokinetics (from Ancient Greek pharmakon "drug" and kinetikos "moving, putting in motion"; see chemical kinetics), sometimes abbreviated as PK, is a branch of pharmacology dedicated to determining the fate of substances administered to a living organism. 6
  • 7. Absorption by One-Compartment Open Model Extravascular Asministration The rate of absorption may be described mathematically as a zeroorder or first-order process. A large number of plasma concentration-time profiles can be described by a one-compartment model with first- order absorption and elimination. However, under certain conditions, the absorption of some drugs may be better described by assuming zero-order(constant rate) kinetics. Differences between zero-order and first-order kinetics are illustrated in Fig. 1. Zero-order absorption is characterized by a constant rate of absorption. It is independent of amount remaining to be absorbed (ARA), and its regular ARA versus t plot is linear with slope equal to tate of absorption while the semilog plot is described by an ever-increasing gradient with time. In contrast, the first –order absorption process is distinguished by a decline in the rate with ARA i.e. absorption rate is dependent upon ARA ; its regular plot is curvilinear and semilog plot a straight line with absorption rate as its slope. 7
  • 8. Fig. 1 Distinction between zero-order and first-order absorption processes. Figure a is regular plot, and Figure b a semilog plot of amount of drug remaining to be Absorbed (ARA) versus time t. After e.v. administration, the rate of change in the amount of drug in the body dX/dt is the difference between the rate of input (absorption) dXev/dt and rate of output (elimination). dX/dt = Rate of absorption – Rate of elimination dX dXev dXE ----- = ------- - ------- (1) dt dt dt Fig. 2 The absorption and elimination phases of the plasma concentration – time profile obtained after extravascular administration of a single dose of a drug. 8
  • 9. For a drug that follows one-compartment kinetics, the plasma concentration profile is characterized by absorption phase, post-absorption phase and elimination phase (Fig . 2) During the absorption phase, the rate of absorption is greater than the rate of elimination dXev dXE ------ > ------- (2) dt dt At peak plasma concentration, the rate of absorption equals the rate of elimination and the change in amount of drug in the body is zero. dXev dXE ------ = ------- (3) dt dt During the post-absorption phase, there is some drug at the extravascular site still remaining to be absorbed and the rate of elimination at this stage is greater than the absorption rate. dXev dXE ------ < ------- (4) dt dt After completion of drug absorption, its rate becomes zero and the plasma level time curve is characterized only by the elimination phase. 9
  • 10. Zero-order Absorption model The model is similar to that for constant rate infusion. The rate of drug absorption, as in the case of several controlled drug delivery systems, is constant and continues until the amount of drug at the absorption site (e.g. GIT) is depleted. All equation that explains the plasma concentration-time profile for constant rate i.v. infusiion are also applicable to this model. 10
  • 11. First –Absorption Model For a drug that enters the body by a first –order absorption process, gets distributed in the body according to one-compartment kinetics, and is eliminated by a first-order process, the model can be depicted as follows: The differential form of the equation 1 is Dx/dt = Ka Xa - KEX (3) Where Ka = first-order absorption rate constant, and Xa = amount of drug at the absorption site remaining to be absorbed i.e. A.R.A Integration of equation 5 yields: Ka F X0 X = ‐‐‐‐‐‐‐‐‐ e –KEt ‐ e –Kat (6) (Ka – KE) 11
  • 12. Transforming into concentration terms, the equation becomes: Ka F X0 C = ‐‐‐‐‐‐‐‐‐‐‐ e –KEt ‐ e –Kat (8) Vd(Ka – KE) Where F = fraction of drug absorption systemically after e.v. administration. A typical plasma concentration-time profile of a drug administered e.v. is shown in Fig.7 12
  • 13. Elimination Rate Constant: This parameter can be computed from the elimination phase of the plasma level time profile. For most drugs administered e.v., absorption rate is significantly greater than the elimination rate i.e. Kat > KEt. Hence, one can say that e-Kat approaches zero:I much faster than does e-K much faster than does e-K Et . At such a stage, when absorption is complete, the change in plasma concentration is dependent only on elimination rate and equation 5.55 reduces to: Ka F X0 Cmax = ‐‐‐‐‐‐‐‐‐‐‐‐‐‐ e –K Et (5.62) Vd(Ka –KE) Transforming into log form, the equation becomes: Ka F X0 KEt logC = log ‐‐‐‐‐‐‐‐‐‐‐‐ ‐ ‐‐‐‐‐ (5.63) Vd(Ka –KE) 2.303 A plot of log C versus t yields a straight line with slope –KE/2.303 (half-life can then be computed from KE). KE can also be estimated from urinary excretion data (see the section on urinary excretion data). 13
  • 14. Apparent Volume of Distribution and Clearance : For a drug that follows one-compartment kinetics after e.v. administration. Vd and ClT can be computed from equation 5.16 and 5.17 respectively Where F is the fraction absorbed into the systemic circulation. F X0 Vd = ‐‐‐‐‐‐‐‐‐‐‐‐‐‐ (10) KE AUC F X0 ClT = ‐‐‐‐‐‐‐‐‐‐‐‐‐‐ (11) AUC 14
  • 15. URINARY EXCRETION DATA (Disposition Viewed from Urine only) In the absence of plasma level-time data, useful information can still be obtained from urine data regarding elimination kinetics of a drug. The method has several advantages in the analysis of a pharmacokinetic system: 1. The method is useful when there is lack of sufficiently sensitive analytic techniques to measure concentration of drugs in plasma with accuracy. 2. The method is noninvasive and therefore better subject compliance is assured. 3. Convenience of collecting urine samples in comparison to drawing of blood periodically. 4. Often, a less sensitive analytic method is required for determining urine drug concentration as compared to plasma concentrations; if the urine drug concentration are low, assaying of larger sample volumes is relatively easy. 5. First – order elimination, excretion and absorption rate constants and fraction excreted unchanged can be computed from such data; first order metabolism or extrarenal excretion rate constant can also be calculated subsequently from the difference (KE – Ke) = Km. 15
  • 16. 6. Direct measurement of bioavailability, both absolute and relative, is possible without the necessity of fitting the data to a mathematical model. 7. When coupled with plasma level-time data it can also be used to estimate renal clearance of unchanged drug according to following equation: Total amount of drug excreted unchanged ClR = ‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐. (12) Area under the plasma level‐time curve If Vd is known, total systemic clearance and nonrenal clearance can also be calculated. One cannot however compute Vd and ClT from urine data alone. One must also remember that urinary excretion data is not an accurate substitute for the plasma level data. At best, the data can be employed as a rough estimate of the pharmacokinetic parameters. Moreover, if the drug product provides a very slow drug release or if the drug has a very long biological half-life, the resulting low urinary drug concentration may be too dilute to be assessed with accuracy. In the latter case, i.e. for drugs with t1/2, urine may have to be collected for several days to account for total drug excreted. 16
  • 17. 5. Volunteers must be instructed to completely empty their bladder while collecting urine samples .6 . Frequent sampling should be done in order to obtain a good curve. 7. During sampling, the exact time and volume of urine excreted should be noted. 8. An individual collection period should not exceed one biologic half-life tof the drug and ideally should be considerably less. 9. Urine samples must be collected for at least 7 biological half-lives in order to ensure collection of more than 99% of excreted drug. 10. Changes in urine pH and urine volume may after the urinary excretion rate. The urine data can be set as shown in the table 5.5. Observations include times of urine collection, volumes collected and concentration of unchanged drug in each sample. These data are treated to derive further information. 17
  • 18. Rate of Excretion Method: The rate of urinary drug excretion dXu/dt is proportional to the amount of drug in the body X and written as: dXu ----- = KeX (5.77) dt Where Ke = first order urinary excretion rate constant. According to first-order disposition kinetics, X = Xo e-K Et (equation 5.5). Substituting it in above equation yields: dXu ----- = KeX0 e-K Et (5.78) dt Where X0 = dose administered (i.v. bolus). Transforming to log form the equation becomes: dXu KEt log ----- = log KeX0 - ------- (5.79) dt 2.303 The above equation states that a semilog plot of rate of excretion versus time yields a straight line with slope –KE/2.303 (Fig. 5.11). It must therefore be remembered that the slope of such an excretion rate versus time plot is related to elimination rate constant KE and not to excretion rate constant Ke. The excretion rate constant can be obtained from the Y-intercept (log Ke Xo). Elimination half-life and nonrenal elimination rate constant 18