Accepted Manuscript Adsorption equilibrium and kinetic study of guaifenesin enantiomers on cellulose tris 3,5-dimethylphenylcarbamate packed column Rujin Gong, Xiaojian Lin, Ping Li, Jianguo Yu, Alirio E. Rodrigues PII: DOI: Reference:
S1385-8947(14)00075-8 http://dx.doi.org/10.1016/j.cej.2014.01.050 CEJ 11692
To appear in:
Chemical Engineering Journal
Received Date: Revised Date: Accepted Date:
1 November 2013 16 January 2014 20 January 2014
Please cite this article as: R. Gong, X. Lin, P. Li, J. Yu, A.E. Rodrigues, Adsorption equilibrium and kinetic study of guaifenesin enantiomers on cellulose tris 3,5-dimethylphenylcarbamate packed column, Chemical Engineering Journal (2014), doi: http://dx.doi.org/10.1016/j.cej.2014.01.050
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1
Adsorption equilibrium and kinetic study of guaifenesin enantiomers on cellulose tris
2
3,5-dimethylphenylcarbamate packed column
3 4
Rujin Gong, Xiaojian Lin, Ping Li*, Jianguo Yu, Alirio E. Rodrigues
5 6
State Key Laboratory of Chemical Engineering, College of Chemical Engineering,
7
East China University of Science and Technology, Shanghai, 200237, China
8
E-mail:
[email protected]
9
Phone/fax: +86-21-64250981
10 11
1
1
Abstract : The chromatographic separation of guaifenesin enantiomers using
2
hexanes/ethanol mobile phase and cellulose tris 3,5-dimethylphenylcarbamate
3
stationary phase (Chiralcel OD) was investigated, where the column was packed with
4
particle size 20µm of chiral adsorbents. The adsorption equilibrium isotherms of
5
single enantiomer and racemic compounds of guaifenesin on Chiralcel OD stationary
6
phase were measured by the frontal analysis and the adsorption-desorption method,
7
respectively. Then, the experimental data were fitted with the Linear+Langmuir
8
isotherm model, and the relative model parameters for the competitive adsorption
9
equilibrium isotherm of guaifenesin enantiomers were obtained by the nonlinear
10
regression method. Both the elution and adsorption-desorption experiments for the
11
separation of guaifenesin enantiomers on the Chiralcel OD packed column were
12
carried out. The measured elution curves and adsorption-desorption profiles were
13
compared with the theoretical predictions by mathematical model, and adsorption
14
kinetics, separation efficiency, the effect of dead volume were discussed. According
15
to experiments and modeling, the competitive adsorption equilibrium and kinetics
16
information were acquired for the scale up and optimization of the separation of
17
guaifenesin enantiomers by both batch and continuous chromatographic system.
18
Keywords: Chiral separation; Equilibrium isotherm; Adsorption kinetics; Modeling;
19
Guaifenesin enantiomers; Chiralcel OD
20
2
1 2
1. Introduction Guaifenesin
(GUA),
(R,S)-3-(2-methoxyphenoxy)-propane-1,2-diol,
is
an
3
expectorant drug, and usually is taken orally to assist the bringing up of phlegm from
4
the airway in acute respiratory tract infections, which also can be used for sinusitis,
5
pharyngitis, and bronchitis [1-3]. Guaifenesin with a pair of enantiomers is
6
represented as R-(-)-GUA and S-(+)-GUA, respectively, as shown in Fig.1. Due to the
7
lack of research on the pharmacological properties of the individual enantiomers of
8
guaifenesin [4, 5], up to now, guaifenesin is used as an expectorant at the form of
9
racemate in cough remedy formulations. The development of chiral drugs as single
10
enantiomer is becoming a necessary trend in future. Therefore, the high efficient
11
technologies for the preparation of pure single guaifenesin enantiomer are becoming
12
more and more important.
13
With the rapid development of chiral separation for analysis and preparation,
14
chromatographic separation using chiral stationary phase has proven to be the most
15
popular technology [6-10]. Several kinds of stationary phases have been used
16
successfully for the separation of guaifenesin enantiomers, such as Chiralpak IA,
17
Chiralcel AD and Chiralcel OD. Miriam Zabkova group [11] separated the
18
guaifenesin racemate on the immobilized Chiralpak IA using n-heptane/ethanol as
19
mobile phase, where the adsorption equilibrium isotherm was described by Linear
20
model, and the lumped pore diffusion model (POR) was used to describe the dynamic
21
behavior of the fixed bed. Pedro Sa Gomes group [12] separated the racemic 3
1
guaifenesin on Chiralpak AD chromatographic column using n-heptane/ethanol
2
(85:15) as mobile phase, where the adsorption equilibrium isotherm was described by
3
Langmuir model, and the POR model was used to describe the dynamic behavior in
4
the packed column. Eric R. Francotte group [13, 14] used Chiralcel OD stationary
5
phase to separate guaifenesin enantiomers with heptane/ethanol (65:35) mobile phase,
6
where the competitive Langmuir adsorption isotherm model was determined, and the
7
feasibility of the separation process was validated. The knowledge of the adsorption
8
isotherms and kinetic information are acquired by these authors [11-14] are very
9
helpful for the design and optimization of the chromatographic separation process of
10
guaifenesin enantiomers [15-17].
11
Several reliable methods to determine the adsorption equilibrium isotherm,
12
including frontal analysis (FA), perturbation peak (PP), elution by characteristic
13
points (ECP), adsorption-desorption method, inverse method, have been used
14
frequently [18-20]. According to the experimental results, many adsorption isotherm
15
models have been proposed, such as Langmuir, Bi-Langmuir, Freundlich, Toth, etc.
16
Leonid Asnin [21] summarized a list of different isotherm models to describe the
17
dynamic equilibrium of solute between mobile phase and stationary phase in chiral
18
chromatography.
19
Various mathematical models have been developed to describe and predict the
20
adsorption behavior in chromatographic column [22-27], which is useful for both
21
analytical and preparative purposes. The general rate model (GR), is the most 4
1
complicated but accurate one, all the physicochemical phenomena involved in the
2
thermodynamics and kinetics of adsorption are considered in the separation process.
3
The GR model generally considers axial dispersion, film mass transfer resistance,
4
intraparticle diffusion, and the rate of adsorption-desorption. Because of its
5
complexity, it must take much more time to obtain the result of numerical solutions.
6
The lumped pore diffusion model (POR) is a simplification of the GR model for the
7
calculation of band profiles when the effective diffusion coefficient in the adsorbent is
8
sufficiently large. The POR model considers the mean value for the adsorbed
9
concentration of solute, not its actual distribution inside the pores, which makes the
10
numerical solution of POR much faster than that of the GR model. The equilibrium
11
dispersive model (ED) is the most popular when mass transfer resistances are small
12
and have a minor influence on the profiles. In many cases, the ED model is a good
13
approximation if the separation system has a high column efficiency. The work to
14
compare the GR, POR, ED models has been presented by Kaczmarski [28, 29]. In
15
addition, the extra-column dead volume is always larger in the industrial-scale
16
chromatographic separation process, so the effect of dead volume on the practical
17
operations cannot be negligible, otherwise, the high separation performance will not
18
be obtained [30-32]. In the case of the HPLC system, the transfer lines include two
19
parts: pump to the column (column head) and column to the detector (column tail). A
20
detail model is used to describe extra-column dead volume and evaluate its effect on
21
the separation performance. 5
1
In this work, adsorption isotherms of single and binary components of guaifenesin
2
enantiomers on cellulose tris 3,5-dimethylphenylcarbamate stationary phase
3
(Chiralcel OD) are determined, and the elution and adsorption-desorption experiments
4
for the separation of guaifenesin enantiomers are carried out and compared with the
5
theoretical predictions by the mathematical model. Based on the experimental and
6
theoretical research for the separation performance of guaifenesin enantiomers on
7
Chiralcel OD, the object is to acquire the competitive adsorption isotherm and kinetic
8
information.
9
2. Theoretical
10
2.1 Adsorption equilibrium isotherms
11
For the adsorption equilibrium isotherms of guaifenesin enantiomers on Chiralcel
12
OD stationary phase, there exists the concentration dependency of the selectivity.
13
Many models fail to account for the concentration dependency of the selectivity [33,
14
34]. It is found that the Linear+Langmuir model is suitable to describe this adsorption
15
behavior. The equation for pure compound is given as:
16
qi = H i ci +
17
Where, i is the number of components, qi (kg/m3) is the concentration of solute
18
adsorbed on the stationary phase, ci (kg/m3) is the concentration of solute in the
19
mobile phase, qs (kg/m3) is the saturation capacity on the enantioselective sites, Hi is
20
the equilibrium constant for the adsorption of enantiomers on the nonselective
qs bi ci 1 + bi ci
(1)
6
1
sites, bi (m3/kg) is the equilibrium constants on the enantioselective sites. qs , bi and
2
Hi are the model parameters determined by the experiments.
3
According to the adsorption equilibrium isotherm of single enantiomer with the
4
Linear+Langmuir model, the competitive adsorption equilibrium isotherm of two
5
enantiomers can be described as:
6
qi = H i ci +
7
Where, H1 , H 2 are the equilibrium constants of adsorption on the nonselective sites
8
for each enantiomer, b1 , b2 are the equilibrium constants on the enantioselective sites
9
for each component.
10
qs bi ci 1 + b1c1 + b2 c2
(2)
2.2 Mathematical model for chromatographic column
11
Mathematical model to describe the separation performance of guaifenesin
12
enantiomers in the chromatographic column is used with the consideration of the
13
extra-column dead volumes from transfer lines, as shown in Fig.2. In the case of the
14
HPLC system, the transfer lines include two parts: pump to the column (column head,
15
V1) and column to the detector (column tail, V2). The mass balances inside the
16
chromatographic column will be described using the general rate model (GR), the
17
lumped pore diffusion model (POR), and the equilibrium dispersive model (ED),
18
respectively. And the effect of the extra-column dead volume (V1, V2) caused by
19
transfer lines is described by the convection-diffusion model.
20
2.2.1 General rate model coupled with extra-column dead volume
7
1
The general rate model [35, 36] is the most general model of chromatography,
2
which consists of two differential mass transport equations, the partial differential
3
mass balance equations of the solute in the percolating mobile phase around the
4
particles and in the stagnant mobile phase inside the particles, as follows:
5
∂ci u ∂ci (1 − ε e ) 3 ∂ 2c + + k film,i [ci − c pi (r = rp )] = Dax ,i 2i ∂t ε e ∂x ∂x ε e rp
6
εp
7
Where ci (kg/m3) is the solute concentration in the mobile phase, c pi (kg/m3) is the
8
solute concentration in the stagnant fluid phase contained in the pores, qi (kg/m3) is
9
the solute concentrations in the solid phase in equilibrium with the stagnant fluid
∂c pi ∂t
+ (1 − ε p )
∂c pi ∂qi 1 ∂ 2 )] = 2 [r (ε p Deff ,i ∂t r ∂r ∂r
(3)
(4)
Deff ,i = Dm ,i ε p2 (1 − ε p ) 2 (m2/s) is the effective diffusion
10
phase at concentration c p i
11
coefficient (m2/s), k film,i = 1.09Dm,i (ε e d p )*(ε e vd p Dm,i )0.33 (m/s) is the external film
12
mass transfer coefficient, u (m/s) is the superficial velocity of mobile phase,
13
Dax,i (m2/s) is the axial dispersion coefficient, rp (m) is the equivalent particle radius,
14
external porosity ε e , internal porosity ε p , t (s) is the time, x (m) is the axial distance
15
along the column, and r (m) is the radial coordinate for particle.
16
Initial conditions are
17
t = 0, ci (t , x) = c pi (t , x, r ) = qi (t , x, r ) = 0
18
Boundary conditions for Eq.3 are:
19
∂ci = v(ci − c0 ) ∂x ∂c (t,x = L ) =0 x = L: i ∂x
20
,
(5)
x = 0 : Dax ,i
(6a) (6b) 8
1
Boundary conditions for Eq.4 are:
2
r = rp : k film ci − c pi ( t , x, rp ) = ε p Deff ,i
3
r = 0:
4
The convection-diffusion model [37] is used to describe the effect of the dead volume
5
in the connection tubes, as the following equation:
6
∂ci ∂c ∂ 2c + udead i = DL , dead 2i ∂t ∂x ∂x
∂c p i (t , x, 0) ∂r
=
2
∂c pi ( t , x, rp )
(6c)
∂r
∂qi (t , x, 0) =0 ∂r
2
(6d)
(7)
7
Where DL,dead = u d
8
udead (m/s) is the velocity of the mobile phase through the tube. Ldead (m) is the length
9
of the tubes.
2 192 Dm (m /s) is the axial dispersion coefficient in the pipes,
10
The initial and boundary conditions for Eq.7 are as follows:
11
t = 0, ci = 0
12
x = 0 : DL , dead
(9a)
13
x = Ldead
(9b)
14
2.2.2 Lumped pore diffusion model
(8)
∂ci = udead (ci − c0 ) ∂x ∂c (t , x = Ldead ) : i =0 ∂x
15
The lumped pore diffusion model (POR) is a simplification of GR model, which
16
considers a mean value for the adsorbed concentration, not its actual distribution
17
inside the pores [38, 39]. When the effective diffusion coefficient in an adsorbent
18
material is not too low, for example, Pe > 100
19
used to substitute the GR model [28, 29]. Here, Pe = uL ( Daxε e ) is the Peclet number,
20
St = kext a p Lε e u is the Stanton number, Bi = kext d p Lε e 2 Deff is the Biot number.
21
a p = 3 rp (m2/m3) is the surface area per unit volume of the adsorbent particles. 9
St Bi > 5 , the POR model can be
1
In POR model, the mass balances of the component in the mobile phase and solid
2
phase are written as follows:
3
∂ c pi ∂ci u ∂ci (1 − ε e ) ∂q ∂ 2c + + [ε p − (1 − ε p ) i ] = Dax,i 2i ∂t ε e ∂x ∂t ∂t ∂x εe
4
εp
5
Where ci (kg/m3) is the solute concentration in the mobile phase, c pi (kg/m3) is the
6
average concentration of the solute in the stagnant fluid phase contained in the pores,
7
qi (kg/m3) is the average concentrations of the solute in the solid phase in equilibrium
8
with the stagnant fluid phase at concentration c pi , keff ,i = 1 k film,i + 1 kint,i is the
9
effective mass transfer coefficient (m/s), and kint,i = 10 Deff ,i d p is the internal mass
∂c pi ∂t
− (1 − ε p )
(10)
∂qi 3 = keff ,i (ci − c pi ) ∂t rp
(11)
−1
10
transfer coefficients (m/s).
11
2.2.3 Equilibrium dispersive model
12
The equilibrium dispersive model (ED) is another simplification of GR model,
13
easily derived from the POR model, where the contribution of band broadening due to
14
finite mass-transfer limitation and axial dispersion are lumped into an apparent axial
15
dispersion coefficient. The ED model is numerically equivalent to the POR model
16
when [28, 29] 500 > Pe > 100
17
St > 2000 or Pe > 500 1 + Bi / 5
St > 4000 . 1 + Bi / 5
In ED model, the mass balances of the component in the mobile phase and solid
18
phase are written as follows:
19
∂ci* u ∂ci* (1-εT ) ∂qi* ∂ 2 c* + + = Dax ,i 2i ∂t εT ∂x ∂x ε T ∂t
(12)
10
1
∂qi* 3 * * = k L ,i ( qeq , i − qi ) ∂t rp
(13)
2
* Where ci* (kg/m3) is the solute concentration in the mobile phase, qi (kg/m3) is the
3
* solute concentration adsorbed on the stationary phase, qeq ,i (kg/m3) is the adsorbed
4
phase concentration in equilibrium with the mobile phase at concentration ci* , total
5
-1 * porosity ε T , and k L ,i = keff ,i [ε p + (1 − ε p )(dqeq ,i dci )] (s ) is the overall mass transfer
6
coefficient.
7
Based on Samuelsson et al work [32], it is not possible to accurately account for
8
extra-column dispersion by the
9
2D-convection-diffusion model must be used, in particular for modern analytical
10
systems using short and narrow columns. In many practical separation problem [12,
11
30, 31], the preparative column with longer column length and larger inner diameter,
12
1D-convection-diffusion model is available to evaluate the effect of extra-column
13
dead volume on the separation performance with an acceptable accuracy. For
14
simplification, 1D-convection-diffusion model is used to evaluate the effect of the
15
extra-column dead volume in this work.
16
2.3 Numerical solution of the mathematical models
1D-convection-diffusion model,
instead
a
17
The mathematical models mentioned previously are solved using the software of
18
gPROMS 3.2 (PSE Enterprise, Ltd., London), which is a process modeling system
19
with proven capabilities for the simulation, optimization and parameter estimation of
20
highly complex processes. The partial differential equations are discretized into a set
21
of ordinary differential-algebraic equations through the discretization of the axial
22
domain. In this work, the discretization method of orthogonal collocation on finite 11
1
elements method (OCFEM) over a uniform grid of 30 intervals is used for the general
2
rate, equilibrium-dispersive, lumped pore diffusion models. Then, the set of ordinary
3
differential-algebraic equations are integrated by the DASOLV solver with the
4
absolute and relative tolerances of 10-5.
5
3. Experimental
6
3.1 Materials and apparatus
7
Guaifenesin (GUA, purity>98.0) are purchased from Tokyo Chemical Industry
8
Ltd., Japan, pure R-(-)-GUA and S-(+)-GUA enantiomer are prepared by the
9
simulated moving bed separation methods in our laboratory. The mobile phase is a
10
mixture of n-hexane/ethanol (70/30) solution, which are purchased from Sinopharm
11
Chemical Reagent Co. Ltd., Shanghai. Two kinds of chromatographic columns
12
packed with Chiralcel OD stationary phase are used, one is the preparative column
13
(150×10mm) with 20µm particle size, and another is the analytical column (150×
14
4.6mm) with 5µm particle size.
15
Dionex Ultimate 3000 HPLC system (Dionex Corporation, now Thermo Fisher
16
Scientific) is used for the experiments, which is equipped with a Dual gradient pump,
17
automatic injector, column compartment, UV detector. The experimental data are
18
obtained through the software of Chromeleon 6.80. Experimental temperature is
19
controlled by the column compartment at the constant temperature of 25.0℃ with
20
±0.1℃ accuracy. At the wavelength of 270nm, the wavelength is stable and the
21
absorbency is higher. 270 nm is considered as an optimal wavelength for the detection 12
1
of the guaifenesin enantiomers. The detector calibration curve is performed on an
2
analytical column (4.6×150mm) over the concentration range of 0-4.0 mg/ml with a
3
linear behavior. The samples collected during the experiments with the concentration
4
more than 4.0mg/ml should be diluted before analyzing by the analytical HPLC
5
system.
6
3.2 Measurement of adsorption equilibrium isotherms
7
The measurement of the adsorption isotherm is performed on a preparative column
8
(10×150mm). Adsorption equilibrium isotherm for each enantiomer is measured by
9
the multiple frontal analysis [40]. The pure guaifenesin sample is continuously fed
10
into the preparative column by increasing the concentration of enantiomer step by step,
11
and the samples from the packed column are collected and detected by the analytical
12
HPLC system. The amount of each enantiomer adsorbed on Chiralcel OD stationary
13
phase can be calculated by the following equation:
14
qi , j =
15
Where qi , j , qi , j −1 are the solute concentrations in the stationary phase after jth and
(Vi , Rj − Vm )(ci , j − ci , j −1 )
Va
+ qi , j −1
(14)
16
j − 1th step, ci , j
17
Vi ,Rj , Vm are the retention volume of the jth breakthrough curve and dead volume of
18
the column, respectively. Va is the volume of adsorbent (Chiralcel OD) packed
19
inside the preparative column.
,
ci, j −1 are the solute concentrations in mobile phase, respectively.
20
Adsorption-desorption method [41] is used to measure the competitive adsorption
21
isotherms of guaifenesin enantiomers. The concentration of guaifenesin racemate is at 13
1
the range of 0 to 7.80 mg/ml. The preparative column is saturated with a known
2
concentration of feed solution until the adsorption equilibrium is reached. Then, the
3
column is regenerated completely with the fresh mobile phase. During the
4
experiments, the samples from the packed column are collected and detected by the
5
analytical HPLC system. The quantity of the component in the column is calculated
6
by the following equation:
7
Q ∫ (Ci ,0 − Ci )dt = (1 − ε T )Vc qi + ε T VcCi ,0
t
(15)
0
8
Where Q (m3/s) is flow rate of the mobile phase, Vc (m3) is the column volume,
9
ci,0 (kg/m3) is the feed concentration of each enantiomer in the mobile phase.
10
3.3 Elution profile and adsorption-desorption experiments
11
Elution profile and adsorption-desorption curves are measured to evaluate the
12
separation performance of guaifenesin enantiomers on the Chiralcel OD preparative
13
column. The elution experiments of guaifenesin enantiomers are carried out with
14
different concentration of guaifenesin racemate and different injection period. The
15
adsorption-desorption experiments for pure guaifensin enantiomer and racemic
16
mixture are carried out with different feed concentration. The experimental
17
procedures are the same as the previous work [42]. During the experiments, the
18
samples from the packed column are collected and detected by the analytical HPLC
19
system, and experimental curves are obtained.
20
4. Result and discussion
21
4.1 Competitive adsorption isotherm 14
1
4.1.1 Adsorption isotherm of single guaifenesin enantiomer
2
The adsorption isotherm of pure guaifenesin enantiomer is measured by the frontal
3
analysis method on Chiralcel OD preparative column at 3.0 ml/min flow rate and
4
25.0℃. The adsorption equilibrium isotherms of the weaker adsorption enantiomer
5
(R-(-)-GUA) and the stronger adsorption enantiomer (S-(+)-GUA) are shown in Fig.3,
6
where the points represent the experimental data and the lines represent the predicted
7
results by the Linear+Langmuir model (Eq.16a and Eq.16b). According to the
8
experimental data, the model parameters are obtained by the nonlinear regression
9
method. There exists a good agreement between experimental data and the predicted
10
results using the Linear+Langmuir model, as shown in Fig.3.
11
qR −GUA = 1.2cR−GUA +
31.0 × 0.028cR−GUA 1 + 0.028cR −GUA
(16a)
12
qS −GUA = 2.2cS −GUA +
31.0 × 0.098cs −GUA 1 + 0.098cS −GUA
(16b)
13
4.1.2 Binary competitive adsorption isotherm
14
Usually, the competitive adsorption equilibrium isotherms of R-(-)-GUA and
15
S-(+)-GUA on Chiralcel OD stationary phase can be predicted by Eq.17a and Eq.17b,
16
which are derived based on the adsorption isotherm of pure enantiomer measured
17
previously. In this work, the binary competitive adsorption equilibrium data also are
18
measured by the adsorption-desorption method, as shown in Fig.4. It is found that the
19
predicted results by Eq.17a and Eq.17b fit the experimental data with the acceptable
20
accuracy. 15
1
qR −GUA = 1.2cR−GUA +
31.0 × 0.028cR −GUA 1 + 0.028cR−GUA + 0.098cS −GUA
(17a)
2
qS −GUA = 2.2cS −GUA +
31.0 × 0.098cS −GUA 1 + 0.028cR−GUA + 0.098cS −GUA
(17b)
3
4.2 Experiments and modeling for elution profiles and adsorption-desorption curves
4
4.2.1 Model parameters
5
Before predicting the separation performance of guaifenesin racemate on the
6
Chiralcel OD preparative column by the mathematical model, some important model
7
parameters, such as diffusion coefficient, mass transfer resistance coefficient et al.,
8
should be measured or estimated previously by the appropriate method.
9
The total porosity in the preparative column is measured by the pulse experiment
10
with TTBB (1.5mg/ml, 20µl injection amount) tracer, a non-retained compound on
11
Chiralcel OD stationary phase. The total porosity is obtained as ε T = 0.69 , the external
12
porosity is estimated as ε e = 0.44 , the porosity of the particles is estimated as
13
ε p = 0.45 , the experimental procedure can be found elsewhere [42].
14
The axial dispersion coefficient Dax ,i is measured based on Van Deemter equation
15
[43]. The theoretical plate number in the preparative column is measured with the
16
pulse experiments of guaifenesin enantiomers. According to the theoretical plates of
17
guaifenesin enantiomers under different flow rates, the values of dispersion
18
coefficients are estimated as shown in Table 1 and are almost constants at the range of
19
experimental concentrations, the detailed calculation method can be found elsewhere
20
[42]. 16
1
The mass transfer resistance coefficients are estimated by comparing the
2
adsorption-desorption experimental data of pure enantiomer with the predicted results
3
by three models, respectively. Here, the adsorption-desorption curves for single
4
enantiomer are measured under the conditions: CR-GUA=0.53mg/ml, feeding time
5
8.0min; CS-GUA=0.46mg/ml, feeding time 10.0min, and the results are shown in Fig.5a
6
and Fig.5b. The points represent the experimental data and the lines represent the
7
predicted results by three models (Dash dot line: ED model; Solid line: POR model;
8
Dash line: GR model). The mass transfer coefficients are estimated initially from
9
empire equations, and the best values are obtained by fitting the experimental data
10
with the numerical results. The effective diffusion coefficient, Deff ,i in the GR
11
model is estimated using the same method. The estimated parameters for three
12
mathematical models are summarized in Table 1.
13
4.2.2 Elution profiles
14
Pulse experiments with different concentrations of guaifenesin enantiomers and
15
different injection times are carried out, and the elution curves of R-(-)-GUA
16
enantiomer and S-(+)-GUA enantiomer on Chiralcel OD preparative column are
17
measured, as shown in Fig.6a-c, where the experimental conditions are listed in Table
18
2. Fig.6a and Fig.6b show that R-(-)-GUA enantiomer and S-(+)-GUA enantiomer
19
can be separated by the Chiralcel OD preparative column when the pulse time of feed
20
is set 1.0 min. With the increase of the pulse time, such as 4.0 min, R-(-)-GUA
17
1
enantiomer and S-(+)-GUA enantiomer cannot be separated completely, as shown in
2
Fig.6c.
3
The measured elution curves are compared with the theoretical predictions by the
4
general rate (GR), equilibrium-dispersive (ED), lumped pore diffusion(POR)models
5
coupled with extra-column dead volume, respectively, as shown in Fig.6a-c. The
6
theoretical predictions by three models fit the experimental data with an acceptable
7
accuracy, although there are the obvious difference among the predicted results of
8
peak height by three models. The POR model can be used to substitute the GR model
9
since the ratio of St and Bi is more than 160. Comparing ED model with POR model,
10
there is a little difference because of the value of St (1 + Bi) as 752 less than the
11
criterion. The CPU running times of computer for solving three models are presented
12
in Table 2, it is found that GR model with a high accuracy requires a longer
13
computing time, almost 40 times than that of ED and POR model.
14
Pulse chromatograms under different feed concentrations are compared by
15
simulation, as shown in Fig.7. The effect of nonlinearity on the profiles is observed
16
with the increase of the feed concentration. Under the concentration of 7.8 mg/ml for
17
each enantiomer, the chromatographic peak represents the tail and becomes
18
asymmetry. On the other hand, the retention time of S-(+)-GUA decreases slightly
19
with the increase of the feed concentration.
20
4.2.3 Adsorption-desorption curves
18
1
Adsorption-desorption curves of guaifenesin enantiomers on Chiralcel OD
2
preparative column are measured with the different concentrations of feed at
3
3.0ml/min flow rate, where the experimental conditions are listed in Table 2. At the
4
lower concentration of feed, for example CR-GUA=1.00mg/ml, CS-GUA=1.00mg/ml, the
5
experimental data and the predicted results by ED, GR, POR models, present a good
6
agreement in Fig.8a. At the higher concentration of feed, for example
7
CR-GUA=7.80mg/ml, CS-GUA=7.80mg/ml, there is a roll up for the R-(-)-GUA
8
breakthrough curve due to the competitive adsorption between R-(-)-GUA and
9
S-(+)-GUA enantiomers under nonlinear condition. The predicted results given by ED,
10
POR and GR models are almost the same. In Fig.8b, the small discrepancies between
11
experimental data and calculation can be found for the stronger adsorption component
12
(S-(+)-GUA) at the period when S-(+)-GUA eluted out of the column.
13
4.3 Influence of extra-column dead volume on separation performance
14
In the above mentioned theoretical prediction for the elution curves and
15
adsorption-desorption profiles, the GR, ED and POR models are coupled with the
16
extra-column dead volume in order to improve the accuracy of the modeling. Fig.9
17
and Fig.10 show the effect of the extra-column dead volume in the experimental
18
system on the separation performance of guaifenesin enantiomers in the Chiralcel OD
19
preparative column, where the theoretical prediction is done using the ED model
20
coupled with or without the dead volume. In the HPLC system, the connection tubes
21
include two parts: pump to the column (column head, V1) and column to the detector 19
1
(column tail, V2), and the lengths of the connection tube lines are measured and listed
2
in Table 3. Here, two cases are discussed, Case 1 dealing with 1/16〞connection tubes
3
in the experimental system, and Case 2 dealing with 1/8〞connection tubes (assumed
4
condition).
5
According to the simulated results with 1/16〞connection tubes, it is found that the
6
profiles delay 15 seconds approximately. If the length of the tubes is kept the same
7
and the connection tubes of 1/16〞is replaced with 1/8〞×ID 1.75mm tubes, the
8
simulated results are presented at the same condition of flow rate and concentration,
9
as shown in Dash dot lines in Fig.9-10. The longer delay time about 50 seconds is
10
observed, which can be explained by the decreasing of linear velocity through tube
11
with the increasing of the diameter of tube. In the work of Samuelsson et al [32], it
12
was also observed that the injection profiles became more eroded as the increase of
13
flow rate, and the effect of the flow rate is not as dramatic under the experimental
14
injection volume of 200µl. By comparison, more than fifteen times volume of the
15
guaifenesin solution were injected in our work, the effect of different flow rate would
16
be slight. Moreover, the effect of dead volume obtained by 1-D-concection-diffusion
17
indicates that the elution curve becomes more eroded with the increasing of the inner
18
diameter of the tube, as shown in Fig.9 and Fig.10. The result is in an agreement with
19
Samuelsson’s work that the injection profiles become more eroded with increasing
20
inner diameter of the loop capillary.
20
1
The dead volume existing in system means when collecting the corresponding
2
pure components in single column chromatography, the delay time caused by
3
extra-column dead volume should be taken into consideration. Otherwise, high purity
4
and high recovery performance of the target component can’t be obtained. Certainly,
5
the influence of extra-column dead volume can be minimized by reducing the length
6
of connection tube or increasing the flow rate of feed appropriately.
7
5. Conclusion
8
According to the experimental and simulated results, guaifenesin (GUA)
9
enantiomers can be separated on Chiralcel OD preparative column, where S-(+)-GUA
10
enantiomer is the more retained component, and R-(-)-GUA enantiomer is the less
11
retained component. The competitive adsorption equilibrium isotherms of guaifenesin
12
enantiomers on Chiralcel OD stationary phase can be described using the
13
Linear+Langmuir model (Eq.17a and Eq.17b) with an acceptable accuracy.
14
The elution curves and adsorption-desorption curves of guaifenesin enantiomers
15
from Chiralcel OD preparative column are measured using Dionex Ultimate 3000
16
HPLC system. The experimental data are compared with the predicted results by
17
general rate (GR) model, equilibrium dispersive (ED) model, lumped pore diffusion
18
(POR) model, with the consideration of extra-column dead volume effect,
19
respectively. It is found that the developed mathematical models coupled with the
20
measured competitive adsorption isotherms, can predict the separation process with
21
an acceptable accuracy. Based on the experimental and theoretical research for the
22
separation performance of guaifenesin enantiomers on Chiralcel OD packed column,
23
the kinetic information, such as dispersion coefficient and mass transfer resistance
24
coefficient are obtained (listed in Table 1), that will be useful for the scale up and 21
1
optimization of both batch and continuous chromatographic separation of guaifenesin
2
enantiomers.
3
Acknowledgements
4 5
This study is financially supported by the National Natural Science Foundation of China (Grant No. 21276080).
22
1
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29
1
Figure Captions
2
Fig.1 Chemical structure of guaifenesin enantiomers
3
Fig.2 Schematic diagram for the module of chromatographic column and the
4
extra-column dead volume
5
Fig.3 Adsorption equilibrium isotherms for R-(-)-guaifenesin and S-(+)-guaifenesin
6
on Chiralcel OD stationary phase at 25.0℃. Symbol: experimental data, line:
7
Linear+Langmuir model, Eq.16a and Eq.16b
8
Fig.4 Binary competitive adsorption isotherm for guaifenesin racemate on Chiralcel
9
OD stationary phase at 25.0 ℃ . Symbol: experimental data, Line:
10
Linear+Langmuir model, Eq.17a and Eq.17b
11
Fig.5 Adsorption-desorption curve of pure R-GUA enantiomer and S-GUA
12
enantiomer on Chiralcel OD at 25.0℃. Points: experimental data. Dash dot
13
line: ED model; Solid line: POR model; Dash line: GR model
14
(a) CR-GUA=0.53mg/ml, feeding time 8.0min
15
(b) CS-GUA=0.46mg/ml, feeding time 10.0min
16
Fig.6 Elution curves of guaifenesin enantiomers on from the Chiralcel OD at 25.0℃.
17
Points: experimental data. Dash dot line: ED model; Solid line: POR model;
18
Dash line: GR model
19
(a) CR-GUA=2.21mg/ml, CS-GUA=2.21mg/ml, pulse time 1.0min
20
(b) CR-GUA=4.21mg/ml, CS-GUA=4.23mg/ml, pulse time 1.0min
21
(c) CR-GUA=2.21mg/ml, CS-GUA=2.21mg/ml, pulse time 4.0min
22
30
1
Fig.7 Elution curves of guaifenesin enantiomers on Chiralcel OD packed column
2
under different feed concentration at 25.0℃.
3
Solid line: CR-GUA=2.21mg/ml, CS-GUA=2.21mg/ml, pulse time 1.0min
4
Dash dot line: CR-GUA=4.21mg/ml, CS-GUA=4.23mg/ml, pulse time 1.0min
5
Dash line: CR-GUA=7.80 mg/ml, CS-GUA=7.80mg/ml, pulse time 1.0min
6
Fig.8 Adsorption-desorption curves of guaifenesin enantiomers on Chiralcel OD at
7
25.0℃. Points: experimental data. Dash dot line: ED model; Solid line: POR
8
model; Dash line: GR model
9
(a) CR-GUA=1.00mg/ml, CS-GUA=1.00mg/ml
10
(b) CR-GUA=7.80mg/ml, CS-GUA=7.80mg/ml
11
Fig.9 Elution curve of guaifenesin enantiomers on Chiralcel OD calculated by ED
12
model with or without the effect of extra-column dead volume (experimental
13
conditions same as Fig.6a). Points: experimental data. Solid line: ED model,
14
Dash line: ED model with dead volume of 1/16" tube. Dash dot line: ED model
15
with dead volume of 1/8" tube
16
Fig.10 Adsorption-desorption curves of guaifenesin enantiomers on Chiralcel OD
17
calculated by ED model with or without the effect of extra-column dead volume
18
(experimental conditions same as Fig.7a). Points: experimental data. Solid line:
19
ED model, Dash line: ED model with dead volume of 1/16" tube. Dash dot line:
20
ED model with dead volume of 1/8" tube
21
31
1 2
Fig.1
32
1 2
Fig.2
3
33
1 2
Fig.3
3
34
1 2
Fig.4
3
35
1
2 3
Fig.5
4
36
1 2
3
4 5
Fig.6
37
1 2
Fig.7
3
38
1
2
3 4
Fig.8
5
39
1 2
Fig.9
3
40
1 2
Fig.10
3
41
1 2
Table Captions
Table 1 Parameters used in the mathematical models
3
Table 2 Experimental conditions and Computation time for the separation of
4
guaifenesin enantiomers on the Chiralcel OD preparative column
5
Table 3 The information of extra-column dead volume in HPLC system
6
42
1
Table 1 Parameters L×d (mm) dp (um) εT εe εp kfilm (s-1) kL,R-GUA (s-1) kL,S-GUA (s-1) keff,R-GUA (s-1) keff,S-GUA (s-1) DL,dead (cm2/s) Dax,R-GUA (cm2/s) 2 Dax,S-GUA (cm2/s) Deff,S-GUA (cm2/s) 2 Deff,S-GUA (cm2/s)
LDF 150×10 20 0.69 0.44 0.45
POR 150×10 20 0.69 0.44 0.45
GR 150×10 20 0.69 0.44 0.45 0.0403
0.00014 0.00025
2.25×102 3.69×10-4 2.75×10-4
Method
Experimental measurement
Empire equation Numerical fitting
0.00034 0.00096 2.25×102 2.25×102 3.69×10-4 3.69×10-4 2.75×10-4 2.75×10-4 1.73×10-7 5.13×10-7
2
2 3
43
Numerical fitting
Empire equation Experimental measurement Numerical fitting
1
Table 2 Run
1 2 3 4
1 2 1 2
Pulse time CR-GUA CS-GUA Computation time (min) (mg/ml) (mg/ml) (s) Pulse experiments GR POR ED 1.0 2.21 2.21 Fig.6a 11983 252 223 1.0 4.21 4.23 Fig.6b 11246 242 213 4.0 2.21 2.21 Fig.6c 12764 248 225 7.80 7.80 4.21 4.23 1.0 Fig.7 2.21 2.21 Adsorption-desorption experiments 15.0 1.00 1.00 Fig.8a 13392 331 301 15.0 7.80 7.80 Fig.8b 13825 335 284 Extra-dead volume analysis (calculated by ED model) 1.0 2.21 2.21 Fig.9 15.0 1.00 1.00 Fig.10
2 3
44
1
Table 3 Extra dead volume Pipe range(cm) Pipe diameter(cm) Case 1 Column head (V1) 87.8 OD 1/16〞×ID 0.75 Column tail (V2) 72.0 OD 1/16〞×ID 0.75 Case 2 Column head (V1) 87.8 OD 1/8〞×ID 1.75 Column tail (V2) 72.0 OD 1/8〞×ID 1.75
2 3
45
1
Highlights
2
(1) Adsorption isotherm of racemic guaifenesin on Chiralcel OD was measured.
3
(2) Adsorption kinetic of racemic guaifenesin on Chiralcel OD was studied.
4
(3) Separation process of racemic guaifenesin was predicted by chromatographic
5 6 7
model. (4) Chromatographic model included the column model and extra column dead
volume.
8
46