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ISSN 2581-3463
REVIEW ARTICLE
A Mathematical Review on Open Two Compartment Pharmacokinetic Models
Sunandan Dey
Department of Pharmacy, University of Rajshahi, Rajshahi, Bangladesh
Received: 09-08-2021; Revised: 30-09-2021; Accepted: 15-10-2021
ABSTRACT
This paper deals with the application of Laplace Transform to estimate the fate of a drug in the
mammillary body with the prediction of various biological parameters (k, k12
, and k21
) through the method
of residuals. The essential numerical values of k, k12
, and k21
are estimated through the determination
of the mathematical hybrid constants (A, B, a, b, and T). Besides, these values can predict the tissue
concentration (ct
) of the drug, and biological half-life (t1/2
) as well. Thus, this study provides intuitive
information on the fate of the administered drug in a mammillary body, successfully.
Key words: Compartment model, Inverse transform, Laplace transform, Method of residuals,
Pharmacokinetics
Address for correspondence:
Sunandan Dey
E-mail: sunandandeypharmacy@gmail.com
INTRODUCTION
The pharmacokinetic models[1-3]
are used in drug
concentration analysis in various biological
compartments (plasma compartment, tissue
compartment, deep-tissue compartment, and
mammillary compartment). Among them, the
mammillary compartment model is usually used
for the drug distribution analysis in the biological
body.[4-6]
This compartment model can be divided
into one, two, three, four, etc., compartment
models[7]
according to the drug distribution
in the body. To study and understand various
compartment models, the pharmacokinetic
parameters are needed in the compartment model
to predict the drug disposition and biological
half-life of the drug. The pharmacokinetic
parameters as well as biological half-life predict
the distribution process and elimination process.
The effective concentration of drug in the body
is a must to produce a pharmacological response.
If the plasma concentration of the drug declines
below the effective concentration, there is no
pharmacological response to treat the disease.[8]
Furthermore, a higher concentration of plasma
drugs produces toxic effects. Hence, the dose
and dose interval are imperative fact in the
administration of a drug to patients. The dosage
regimen (dose and dose interval) is related to
pharmacokinetic factors (absorption rate constant,
elimination rate constant, and biological half-
life). According to the mammillary compartment
model,[9-11]
when a drug is injected through the
intravenous route as a bolus dose, initially all
the drugs present in the plasma compartment
(central compartment). However, gradually, as
time increases the concentration of drugs in the
central compartment declines due to the transport
of the drug to the peripheral compartment.
Therefore, in the central compartment, there
are two phases’ are present; one of them is the
drug distribution phase and another one drug
decline phase.[12,13]
Besides, in the peripheral
compartment, the drug concentration increases
and finally forms an equilibrium condition with
the central compartment.[14,15]
On the other hand, according to the compartment
model,[16,17]
at any time some fraction of drug
remains in the central compartment, in the tissue
compartment as well. Drug elimination occurs
from the central compartment and from the
peripheral compartment also.[18]
Some fraction
of the plasma drug is excreted from the central
compartment; some fraction of the drug is
metabolized in the central compartment as well.
Foratwocompartmentopenmodels[Figure 1],the
drug is distributed from the central compartment
Dey: Two Compartment Pharmacokinetic Models
AJMS/Oct-Dec-2021/Vol 5/Issue 4 2
(plasma compartment) to peripheral compartment
(tissue compartment).[19-21]
The previous study
on two open compartment body models did not
focus on the relationship of the multiple-dosage
regimens clearly.[20]
Furthermore, those studies
did not evaluate tissue hybrid constant (T),
which is very important for drug distribution in
the tissue compartment. In this study, we have
focused on both the two open compartment
models and method of residuals precisely through
mathematical analysis. Therefore, this study gives
intuitive information on dose regimen (dose and
dosing intervals), which is the prerequisite for the
multiple-dosage regimens drug delivery system
as well as drug accumulation in the peripheral
compartment (e.g., adipose tissue) of the body.
THEORY AND DISCUSSION
When a drug is administered by intravenous
route as a bolus dose, the injected drug, that is,
that satisfy open two compartment body models,
distributes through the central compartment as
well as peripheral compartment. It is assumed
that the drug elimination occurs from the central
compartment.[22,23]
METHODOLOGY
The mathematical formula is derived through
Laplace transform.[24]
The Laplace transform
F = F(s) of a function f = f(t) is defined by, L(f)
(s) = F(s) = e f t dt
ts
−
∞
∫ ( )
0
. The integral is
evaluated with respect to t; hence, once the limits
are substituted, what is left are in terms of s. Let f
be a function and L(f) = F be its Laplace transform.
Then, by definition, f is the inverse transform of
F. This is denoted by L-1
(F) = f. As for example,
from inverse Laplace transform, L(e-kt
) = 1/(s+k);
L(1) = 1/s can be written in the inverse transform
notation as L-1
(1/(s+k)) = e-kt
; L(1/s) = 1. On the
other hand, if a function y = y(t), then the
transform of its derivative dy/dt can be expressed
in terms of the Laplace transform of y: L(dy/dt) =
sL(y)–y(0).
Proof:
Let a drug following two-compartment model be
administered to a subject. The drug elimination is
occurred from the central compartment [Figure 2].
If the drug is administered as intravenous bolus
dose (D0
), the drug concentration in plasma
compartment and tissue compartment is cp
and ct
,
respectively, at time t. The initial (t = 0) plasma
concentration of the drug is C p
0 .
The change in drug concentration in plasma
compartment and tissue compartment is dcp
and
dct
, respectively, with respect to time dt. Here,
the elimination rate constant from the central
compartment is k.
According to the chemical kinetics [Figure 2] (the
drug satisfies first order kinetics),
dcp
/dt = k21
ct
–cp
k12
–kcp
(1)
dct
/dt = k12
cp
–k21
ct
(2)
By adding the equation (1) and (2),
dcp
/dt+dct
/dt = –kcp
(3)
Transforming the derivatives by Laplace
transform, equation (2) gives,
sCt
(s)(t)–Ct
(0) = k12
Cp
(s)(t)–k21
Ct
(s)(t)
Or,
(s+k21
)Ct
(s)(t) = k12
Cp
(s)(t)(4)
Ct
(0) = 0 (initial tissue drug concentration)
Similarly from equation (3),
sCp
(s)(t)–Cp
(0)+sCt
(s)(t)–Ct
(0) = kCp
(s)(t)
Or,
(s+k)Cp
(s)(t)+sCt
(s)(t) = C p
0 ; [Initially Cp
(0) = C p
0 ,
Ct
(0) = 0] (5)
By solving the equation (4) and (5),
(s+k)Cp
(s)(t)+sk12
Cp
(s)(t)/(s+k21
) = C p
0
Or, Cp
(s)(t) = C p
0 (s+k21
)/{(s+k)(s+k21
)+sk12
} =
C p
0 (s+k21
)/{s2
+(k12
+k21
+k)s+kk21
} = C p
0 (s+k21
)/
{s2
+(a+b)s+ab} = C p
0 (s+k21
)/{(s+a)(s+b)}
Figure 1: Open two compartment models Figure 2: Open two compartment models
Dey: Two Compartment Pharmacokinetic Models
AJMS/Oct-Dec-2021/Vol 5/Issue 4 3
Here, a+b = k12
+k21
+k, and ab = kk21
By performing partial fraction, we can write,
Cp
(s)(t) = C p
0 [(a–k21
)/{(a–b)(s+a)}]+C p
0 [(k21
–b)/
{(a–b)(s+b)}](6)
Now, by applying inverse Laplace transform, we
get from equation (6)
Cp
(t) = Ae-at
+Be-bt
(7)
where, A = C p
0 (a–k21
)/(a–b), and B = C p
0 (k21
–b)/
(a–b)
Again, we get from the equations (4) and (5),
Ct
(s)(t) = k12
C p
0 /{(s+k)(s+k21
)+sk12
} = k12
C p
0 /
{s2
+(k12
+k21
+k)s+kk21
}
So, Ct
(s)(t) = k12
C p
0 /(s+a)(s+b)
By performing partial fraction the equation number,
Ct
(s)(t) = k12
C p
0 /{(b−a)(s+a)}+k12
C p
0 /{(s+b)
(a−b)}
Again, by applying the Inverse LaplaceTransform,
Ct
(t) = Te-bt
–Te-at
(8)
where, a+b = k+k12
+k21
; ab = kk21
T = k12
C p
0 /(a−b).
Mathematical Analysis
The initial (time t = 0) plasma concentration of the
drug, C p
0 tissue concentration Ct
0
. We get from the
equation number (7) and (9) and their hybrid
constant (A, B, a, b),
Cp
0
= A+B (9)
Ct
0
= 0 (10)
k21
= (Ab+Ba)/(A+B) (11)
k12
= AB(a–b)2
/{(A+B)(Ab+Ba)}(12)
k = ab(A+B)/(Ab+Ba) (13)
T = AB(a–b)/(Ab+Ba) (14)
By putting the numerical values of hybrid
constants (A, B, a, and b) in the equation number
(11), (12), and (13); we can get the value of the
pharmacokinetic rate constants k12
, k21
, and k. The
plasma concentration and tissue concentration of
the drug at any time can be determined from the
equation number (6) and (7) as well.
Calculation
The numerical values of the constants (k, k12
,
k21
, and t1/2
) are determined through the method
of residual.[25]
Now, let the data obtained by the
blood sample at different intervals t1
, t2
, t3
, t4
, t5
, t6
,
t7
, t8
, t9
, and t10
; the observed plasma concentration
quantities are c1
, c2
, c3
, c4
, c5
, c6
, c7
, c8
, c9
, and c10
,
respectively. According to the equation (7), it is
obtained a non-linear curve rather than a straight
line. Hence, the biexponential curve represents
the distribution phase as well as the elimination
phase.
Let, the interpolated data c1
, c2
, c3
and c8
, c9
, c10
lies in the distribution phase curve and elimination
phase curve, respectively, of the biexponential
curve. According to the biexponential distribution
in the plasma compartment, the initial distribution
phase (Ae-at
) is more rapid than the elimination
phase (Be-bt
). Hence, it is considered with the
increasing time distribution phase slows down
and the elimination phase proceeds rapidly and
Ae-at
approaches to zero, and Be-bt
has a finite
value.
Hence, it is obtained from the equation (10),
Cp
(t) = Be-bt
By taking natural logarithm in both sides,
ln(Cp
)(t) = −bt+ln(B) (i)
This equation follows the formula y = mx+c; m
and c are slope and intercept (y axis), respectively,
of the straight line. The numerical values of the
b, B can be easily determined from elimination
phase data, (c8
, c9
, and c10
) and (t8
, t9
, and t9
).
According to the equation (i),
b = {ln(c8
)–ln(c9
)}/(t9
–t8
), and B = c8
/e-bt
8
,
Moreover, the elimination half-life of the drug,
t1/2
= 0.693/b (ii)
In the distribution phase, the drug is also
eliminated concurrently. Therefore, we must take
into consideration the eliminated fraction of the
plasma drug concentration to determine the
distribution phase hybrid constants a, A. Hence,
the eliminated fraction can be determined by,
C t Be
p
bt
'
( ) = −
,
Where, Cp
'
is obtained from the distribution phase
data (c1
, c2
, and c3
). Hence, the residual plasma
drug concentration is C C C C
C let
p p p p
p
− =
−
' ' ''
( , )
during distribution phase and the eliminated
fraction drug concentration are C C C
1 2 3
' ' '
, , .
Now, it is obvious that, Cp
(t) = Ae-at
+Be-bt
Or, Cp
(t) = Ae-at
+Cp
'
(t)
Or, Cp
(t)−Cp
'
(t) = Ae-at
Or,Cp

(t) = Ae-at
;
Dey: Two Compartment Pharmacokinetic Models
AJMS/Oct-Dec-2021/Vol 5/Issue 4 4
where, Cp

(t) = Cp
(t)−Cp
'
(t) is the residual plasma
drug concentration
Let, the residual plasma drug concentration be
C C C
1 2 3
  
, , with respect to eliminated fraction of
drug from plasma data C C C
1 2 3
' ' '
, , respectively. By
taking the natural logarithm, it is obtained,
ln( ) ln( )

Cp = −
A at (iii)
According to the equation, a = {ln( )

C1 –ln( )

C2 }/
(t2
−t1
), and A = C2

/e-at
2
The elimination half-life of the drug is calculated
from the elimination phase; the hybrid constants
(a, A) are determined from the distribution
phase.
RESULTS
The numerical value of all the mathematical
hybrid constants A, B, a, b, and T are 45, 15, 1.8,
0.21, and 29.4, respectively [Figure 3]. Therefore,
the calculated value of pharmacokinetics factors
k, k12
, and k21
, and the elimination half-life (t1/2
)
are 0.62 h-1
, 0.78 h-1
, 0.61 h-1
, and 3.3 h as well.
These calculated values of all parameters (k12
,
k21
, k, and t1/2
) predict the fate of the administered
drug.
CONCLUSION
In summary, the Laplace transform has been used
to derive the formulas [Cp
(t) = Ae-at
+Be-bt
] and
[Ct
(t) = Te-bt
–Te-at
]. Using these two formulas,
we have observed that the fate of a drug is given
intravenously as a bolus dose that follows open
two compartment body models. We also estimated
numerical values of tissue concentration, that is,
deposited drug concentration in the peripheral
compartment. Therefore, this present research
may give effective guidance to the research
community to determine the biological half-life
(t1/2
) and pharmacokinetic parameters (k, k12
, and
k21
) that can assist to predict the drug elimination
process, drug effectiveness, and dosing intervals
determination of the drug.
DECLARATION OF INTERESTS
The author declares no competing financial and
non-financial interests.
REFERENCES
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3. de Biasi J. Four open mammillary and catenary
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4. Gibaldi M, Perrier B. Phai-macokinetics. New York:
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5. Macheras P, Iliadis A. Modeling in Bio-pharmaceutics,
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6. Cherruault Y, Sarin VB. General treatment of linear
mammillary models. Int J Biomed Comput 1985;16:119-26.
7. Withers RT, Laforgia J, Heymsfield SB. Critical
appraisal of the estimation of body composition via
two‐, three‐, and four‐compartment models. Am J Hum
Biol 1999;11:175-85.
8. Shargel L, Yu AB, Wu-Pong S. Applied Bio-
pharmaceutics and Pharmacokinetics. 7th
ed. New York,
United States: Access Pharmacy; 2017.
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administered by different routes. J Pharm Biopharm
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Dey: Two Compartment Pharmacokinetic Models
AJMS/Oct-Dec-2021/Vol 5/Issue 4 5
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  • 1. www.ajms.com 1 ISSN 2581-3463 REVIEW ARTICLE A Mathematical Review on Open Two Compartment Pharmacokinetic Models Sunandan Dey Department of Pharmacy, University of Rajshahi, Rajshahi, Bangladesh Received: 09-08-2021; Revised: 30-09-2021; Accepted: 15-10-2021 ABSTRACT This paper deals with the application of Laplace Transform to estimate the fate of a drug in the mammillary body with the prediction of various biological parameters (k, k12 , and k21 ) through the method of residuals. The essential numerical values of k, k12 , and k21 are estimated through the determination of the mathematical hybrid constants (A, B, a, b, and T). Besides, these values can predict the tissue concentration (ct ) of the drug, and biological half-life (t1/2 ) as well. Thus, this study provides intuitive information on the fate of the administered drug in a mammillary body, successfully. Key words: Compartment model, Inverse transform, Laplace transform, Method of residuals, Pharmacokinetics Address for correspondence: Sunandan Dey E-mail: sunandandeypharmacy@gmail.com INTRODUCTION The pharmacokinetic models[1-3] are used in drug concentration analysis in various biological compartments (plasma compartment, tissue compartment, deep-tissue compartment, and mammillary compartment). Among them, the mammillary compartment model is usually used for the drug distribution analysis in the biological body.[4-6] This compartment model can be divided into one, two, three, four, etc., compartment models[7] according to the drug distribution in the body. To study and understand various compartment models, the pharmacokinetic parameters are needed in the compartment model to predict the drug disposition and biological half-life of the drug. The pharmacokinetic parameters as well as biological half-life predict the distribution process and elimination process. The effective concentration of drug in the body is a must to produce a pharmacological response. If the plasma concentration of the drug declines below the effective concentration, there is no pharmacological response to treat the disease.[8] Furthermore, a higher concentration of plasma drugs produces toxic effects. Hence, the dose and dose interval are imperative fact in the administration of a drug to patients. The dosage regimen (dose and dose interval) is related to pharmacokinetic factors (absorption rate constant, elimination rate constant, and biological half- life). According to the mammillary compartment model,[9-11] when a drug is injected through the intravenous route as a bolus dose, initially all the drugs present in the plasma compartment (central compartment). However, gradually, as time increases the concentration of drugs in the central compartment declines due to the transport of the drug to the peripheral compartment. Therefore, in the central compartment, there are two phases’ are present; one of them is the drug distribution phase and another one drug decline phase.[12,13] Besides, in the peripheral compartment, the drug concentration increases and finally forms an equilibrium condition with the central compartment.[14,15] On the other hand, according to the compartment model,[16,17] at any time some fraction of drug remains in the central compartment, in the tissue compartment as well. Drug elimination occurs from the central compartment and from the peripheral compartment also.[18] Some fraction of the plasma drug is excreted from the central compartment; some fraction of the drug is metabolized in the central compartment as well. Foratwocompartmentopenmodels[Figure 1],the drug is distributed from the central compartment
  • 2. Dey: Two Compartment Pharmacokinetic Models AJMS/Oct-Dec-2021/Vol 5/Issue 4 2 (plasma compartment) to peripheral compartment (tissue compartment).[19-21] The previous study on two open compartment body models did not focus on the relationship of the multiple-dosage regimens clearly.[20] Furthermore, those studies did not evaluate tissue hybrid constant (T), which is very important for drug distribution in the tissue compartment. In this study, we have focused on both the two open compartment models and method of residuals precisely through mathematical analysis. Therefore, this study gives intuitive information on dose regimen (dose and dosing intervals), which is the prerequisite for the multiple-dosage regimens drug delivery system as well as drug accumulation in the peripheral compartment (e.g., adipose tissue) of the body. THEORY AND DISCUSSION When a drug is administered by intravenous route as a bolus dose, the injected drug, that is, that satisfy open two compartment body models, distributes through the central compartment as well as peripheral compartment. It is assumed that the drug elimination occurs from the central compartment.[22,23] METHODOLOGY The mathematical formula is derived through Laplace transform.[24] The Laplace transform F = F(s) of a function f = f(t) is defined by, L(f) (s) = F(s) = e f t dt ts − ∞ ∫ ( ) 0 . The integral is evaluated with respect to t; hence, once the limits are substituted, what is left are in terms of s. Let f be a function and L(f) = F be its Laplace transform. Then, by definition, f is the inverse transform of F. This is denoted by L-1 (F) = f. As for example, from inverse Laplace transform, L(e-kt ) = 1/(s+k); L(1) = 1/s can be written in the inverse transform notation as L-1 (1/(s+k)) = e-kt ; L(1/s) = 1. On the other hand, if a function y = y(t), then the transform of its derivative dy/dt can be expressed in terms of the Laplace transform of y: L(dy/dt) = sL(y)–y(0). Proof: Let a drug following two-compartment model be administered to a subject. The drug elimination is occurred from the central compartment [Figure 2]. If the drug is administered as intravenous bolus dose (D0 ), the drug concentration in plasma compartment and tissue compartment is cp and ct , respectively, at time t. The initial (t = 0) plasma concentration of the drug is C p 0 . The change in drug concentration in plasma compartment and tissue compartment is dcp and dct , respectively, with respect to time dt. Here, the elimination rate constant from the central compartment is k. According to the chemical kinetics [Figure 2] (the drug satisfies first order kinetics), dcp /dt = k21 ct –cp k12 –kcp (1) dct /dt = k12 cp –k21 ct (2) By adding the equation (1) and (2), dcp /dt+dct /dt = –kcp (3) Transforming the derivatives by Laplace transform, equation (2) gives, sCt (s)(t)–Ct (0) = k12 Cp (s)(t)–k21 Ct (s)(t) Or, (s+k21 )Ct (s)(t) = k12 Cp (s)(t)(4) Ct (0) = 0 (initial tissue drug concentration) Similarly from equation (3), sCp (s)(t)–Cp (0)+sCt (s)(t)–Ct (0) = kCp (s)(t) Or, (s+k)Cp (s)(t)+sCt (s)(t) = C p 0 ; [Initially Cp (0) = C p 0 , Ct (0) = 0] (5) By solving the equation (4) and (5), (s+k)Cp (s)(t)+sk12 Cp (s)(t)/(s+k21 ) = C p 0 Or, Cp (s)(t) = C p 0 (s+k21 )/{(s+k)(s+k21 )+sk12 } = C p 0 (s+k21 )/{s2 +(k12 +k21 +k)s+kk21 } = C p 0 (s+k21 )/ {s2 +(a+b)s+ab} = C p 0 (s+k21 )/{(s+a)(s+b)} Figure 1: Open two compartment models Figure 2: Open two compartment models
  • 3. Dey: Two Compartment Pharmacokinetic Models AJMS/Oct-Dec-2021/Vol 5/Issue 4 3 Here, a+b = k12 +k21 +k, and ab = kk21 By performing partial fraction, we can write, Cp (s)(t) = C p 0 [(a–k21 )/{(a–b)(s+a)}]+C p 0 [(k21 –b)/ {(a–b)(s+b)}](6) Now, by applying inverse Laplace transform, we get from equation (6) Cp (t) = Ae-at +Be-bt (7) where, A = C p 0 (a–k21 )/(a–b), and B = C p 0 (k21 –b)/ (a–b) Again, we get from the equations (4) and (5), Ct (s)(t) = k12 C p 0 /{(s+k)(s+k21 )+sk12 } = k12 C p 0 / {s2 +(k12 +k21 +k)s+kk21 } So, Ct (s)(t) = k12 C p 0 /(s+a)(s+b) By performing partial fraction the equation number, Ct (s)(t) = k12 C p 0 /{(b−a)(s+a)}+k12 C p 0 /{(s+b) (a−b)} Again, by applying the Inverse LaplaceTransform, Ct (t) = Te-bt –Te-at (8) where, a+b = k+k12 +k21 ; ab = kk21 T = k12 C p 0 /(a−b). Mathematical Analysis The initial (time t = 0) plasma concentration of the drug, C p 0 tissue concentration Ct 0 . We get from the equation number (7) and (9) and their hybrid constant (A, B, a, b), Cp 0 = A+B (9) Ct 0 = 0 (10) k21 = (Ab+Ba)/(A+B) (11) k12 = AB(a–b)2 /{(A+B)(Ab+Ba)}(12) k = ab(A+B)/(Ab+Ba) (13) T = AB(a–b)/(Ab+Ba) (14) By putting the numerical values of hybrid constants (A, B, a, and b) in the equation number (11), (12), and (13); we can get the value of the pharmacokinetic rate constants k12 , k21 , and k. The plasma concentration and tissue concentration of the drug at any time can be determined from the equation number (6) and (7) as well. Calculation The numerical values of the constants (k, k12 , k21 , and t1/2 ) are determined through the method of residual.[25] Now, let the data obtained by the blood sample at different intervals t1 , t2 , t3 , t4 , t5 , t6 , t7 , t8 , t9 , and t10 ; the observed plasma concentration quantities are c1 , c2 , c3 , c4 , c5 , c6 , c7 , c8 , c9 , and c10 , respectively. According to the equation (7), it is obtained a non-linear curve rather than a straight line. Hence, the biexponential curve represents the distribution phase as well as the elimination phase. Let, the interpolated data c1 , c2 , c3 and c8 , c9 , c10 lies in the distribution phase curve and elimination phase curve, respectively, of the biexponential curve. According to the biexponential distribution in the plasma compartment, the initial distribution phase (Ae-at ) is more rapid than the elimination phase (Be-bt ). Hence, it is considered with the increasing time distribution phase slows down and the elimination phase proceeds rapidly and Ae-at approaches to zero, and Be-bt has a finite value. Hence, it is obtained from the equation (10), Cp (t) = Be-bt By taking natural logarithm in both sides, ln(Cp )(t) = −bt+ln(B) (i) This equation follows the formula y = mx+c; m and c are slope and intercept (y axis), respectively, of the straight line. The numerical values of the b, B can be easily determined from elimination phase data, (c8 , c9 , and c10 ) and (t8 , t9 , and t9 ). According to the equation (i), b = {ln(c8 )–ln(c9 )}/(t9 –t8 ), and B = c8 /e-bt 8 , Moreover, the elimination half-life of the drug, t1/2 = 0.693/b (ii) In the distribution phase, the drug is also eliminated concurrently. Therefore, we must take into consideration the eliminated fraction of the plasma drug concentration to determine the distribution phase hybrid constants a, A. Hence, the eliminated fraction can be determined by, C t Be p bt ' ( ) = − , Where, Cp ' is obtained from the distribution phase data (c1 , c2 , and c3 ). Hence, the residual plasma drug concentration is C C C C C let p p p p p − = − ' ' '' ( , ) during distribution phase and the eliminated fraction drug concentration are C C C 1 2 3 ' ' ' , , . Now, it is obvious that, Cp (t) = Ae-at +Be-bt Or, Cp (t) = Ae-at +Cp ' (t) Or, Cp (t)−Cp ' (t) = Ae-at Or,Cp (t) = Ae-at ;
  • 4. Dey: Two Compartment Pharmacokinetic Models AJMS/Oct-Dec-2021/Vol 5/Issue 4 4 where, Cp (t) = Cp (t)−Cp ' (t) is the residual plasma drug concentration Let, the residual plasma drug concentration be C C C 1 2 3 , , with respect to eliminated fraction of drug from plasma data C C C 1 2 3 ' ' ' , , respectively. By taking the natural logarithm, it is obtained, ln( ) ln( ) Cp = − A at (iii) According to the equation, a = {ln( ) C1 –ln( ) C2 }/ (t2 −t1 ), and A = C2 /e-at 2 The elimination half-life of the drug is calculated from the elimination phase; the hybrid constants (a, A) are determined from the distribution phase. RESULTS The numerical value of all the mathematical hybrid constants A, B, a, b, and T are 45, 15, 1.8, 0.21, and 29.4, respectively [Figure 3]. Therefore, the calculated value of pharmacokinetics factors k, k12 , and k21 , and the elimination half-life (t1/2 ) are 0.62 h-1 , 0.78 h-1 , 0.61 h-1 , and 3.3 h as well. These calculated values of all parameters (k12 , k21 , k, and t1/2 ) predict the fate of the administered drug. CONCLUSION In summary, the Laplace transform has been used to derive the formulas [Cp (t) = Ae-at +Be-bt ] and [Ct (t) = Te-bt –Te-at ]. Using these two formulas, we have observed that the fate of a drug is given intravenously as a bolus dose that follows open two compartment body models. We also estimated numerical values of tissue concentration, that is, deposited drug concentration in the peripheral compartment. Therefore, this present research may give effective guidance to the research community to determine the biological half-life (t1/2 ) and pharmacokinetic parameters (k, k12 , and k21 ) that can assist to predict the drug elimination process, drug effectiveness, and dosing intervals determination of the drug. DECLARATION OF INTERESTS The author declares no competing financial and non-financial interests. REFERENCES 1. Mager DE, Jusko WJ. General pharmacokinetic model for drugs exhibiting target-mediated drug disposition. J Pharm Pharm 2001;28:507-32. 2. Himmelstein KJ, Lutz RJ. A review of the applications of physiologically based pharmacokinetic modeling. J Pharm Biopharm 1979;7:127-45. 3. de Biasi J. Four open mammillary and catenary compartment models for pharmacokinetics studies. J Biomed Eng 1989;11:467-70. 4. Gibaldi M, Perrier B. Phai-macokinetics. New York: Dekker; 1975, 1982. p. 494. 5. Macheras P, Iliadis A. Modeling in Bio-pharmaceutics, Pharmacokinetics and Pharmacodynamics: Homogeneous and Heterogeneous Berlin, Germany: Approaches. Springer; 2016. 6. Cherruault Y, Sarin VB. General treatment of linear mammillary models. Int J Biomed Comput 1985;16:119-26. 7. Withers RT, Laforgia J, Heymsfield SB. Critical appraisal of the estimation of body composition via two‐, three‐, and four‐compartment models. Am J Hum Biol 1999;11:175-85. 8. Shargel L, Yu AB, Wu-Pong S. Applied Bio- pharmaceutics and Pharmacokinetics. 7th ed. New York, United States: Access Pharmacy; 2017. 9. Vaughan DP, Trainor A. Derivation of general equations for linear mammillary models when the drug is administered by different routes. J Pharm Biopharm 1975;3:203-18. 10. Evans WC. Linear systems: Compartmental modeling, and estimability issues in iaq studies. In: Tichenor B, editor. Characterizing Sources of Indoor Air Pollution and Related Sink Effects, ASTM STP No. 1287; 1996. p. 239-62. 11. Leslie Z. Benet: General treatment of linear mammillary models with elimination from any compartment as used in pharmacokinetics. J Pharm Sci 1972;61:536-41. Figure 3: Plasma level-time curve for a two open compartment models
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