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− | \frac{\partial c_i}{\partial t}+\frac{1-\epsilon}{\epsilon}\frac{\partial q_i}{\partial t}+u\frac{\partial c_i}{\partial z}-D_i\frac{\partial^2 c_i}{\partial z^2}=0, \qquad z\in(0,\;L), |
+ | \frac{\partial c_i}{\partial t}+\frac{1-\epsilon}{\epsilon}\frac{\partial q_i}{\partial t}+u\frac{\partial c_i}{\partial z}-D_i\frac{\partial^2 c_i}{\partial z^2}=0, \qquad z\in(0,\;L), \qquad [1] |
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+ | |||
where <math>c_i</math> and <math>q_i</math> are the concentrations of solute $i$ in the liquid and solid phases, respectively, $u$ the interstitial liquid velocity, <math>\epsilon</math> the column porosity, <math>t</math> the time coordinate, <math>z</math> the axial coordinate along the column, <math>L</math> the column length, <math>D_i=uL/Pe</math> the axial dispersion coefficient and <math>Pe</math> the P\'{e}clet number. The adsorption rate is modeled by the LDF approximation: |
where <math>c_i</math> and <math>q_i</math> are the concentrations of solute $i$ in the liquid and solid phases, respectively, $u$ the interstitial liquid velocity, <math>\epsilon</math> the column porosity, <math>t</math> the time coordinate, <math>z</math> the axial coordinate along the column, <math>L</math> the column length, <math>D_i=uL/Pe</math> the axial dispersion coefficient and <math>Pe</math> the P\'{e}clet number. The adsorption rate is modeled by the LDF approximation: |
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− | \frac{\partial q_i}{\partial t} = K_{m,i}\,(q^{Eq}_i-q_i), \qquad z\in[0,\;L], |
+ | \frac{\partial q_i}{\partial t} = K_{m,i}\,(q^{Eq}_i-q_i), \qquad z\in[0,\;L], \qquad [2] |
</math> |
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+ | |||
where <math>K_{m,i}</math> is the mass-transfer coefficient of component <math>i</math> and <math>q^{Eq}_i</math> is the adsorption equilibrium concentration calculated by the isotherm equation for component <math>i</math>. Here the bi-Langmuir isotherm model is used to describe the adsorption equilibrium: |
where <math>K_{m,i}</math> is the mass-transfer coefficient of component <math>i</math> and <math>q^{Eq}_i</math> is the adsorption equilibrium concentration calculated by the isotherm equation for component <math>i</math>. Here the bi-Langmuir isotherm model is used to describe the adsorption equilibrium: |
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− | q^{Eq}_i=\frac{H_{i,1}\,c_i}{1+\sum_{j=A,B}K_{j,1}\,c_j}+\frac{H_{i,2}\,c_i}{1+\sum_{j=A,B}K_{j,2}\,c_j},\; i=A,B, |
+ | q^{Eq}_i=\frac{H_{i,1}\,c_i}{1+\sum_{j=A,B}K_{j,1}\,c_j}+\frac{H_{i,2}\,c_i}{1+\sum_{j=A,B}K_{j,2}\,c_j},\; i=A,B, \qquad [3] |
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where <math>H_{i,1}</math> and <math>H_{i,2}</math> are the Henry constants, and <math>K_{j,1}</math> and <math>K_{j,2}</math> the thermodynamic coefficients. |
where <math>H_{i,1}</math> and <math>H_{i,2}</math> are the Henry constants, and <math>K_{j,1}</math> and <math>K_{j,2}</math> the thermodynamic coefficients. |
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− | D_i\left.\frac{\partial c_i}{\partial z}\right|_{z=0} = u\,(\left.c_i\right|_{z=0}-c^{in}_i), \quad\quad \left.\frac{\partial c_i}{\partial z}\right|_{z=L}=0, |
+ | D_i\left.\frac{\partial c_i}{\partial z}\right|_{z=0} = u\,(\left.c_i\right|_{z=0}-c^{in}_i), \quad\quad \left.\frac{\partial c_i}{\partial z}\right|_{z=L}=0, \qquad [4] |
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⚫ | |||
− | c^{in}_i= |
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− | \begin{cases} |
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⚫ | |||
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</math> |
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+ | |||
where <math>c^F_i</math> is the feed concentration for component <math>i</math> and <math>t_{inj}</math> is the injection period. In addition, the column is assumed unloaded initially: |
where <math>c^F_i</math> is the feed concentration for component <math>i</math> and <math>t_{inj}</math> is the injection period. In addition, the column is assumed unloaded initially: |
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− | c_i(t=0,z)=q_i(t=0,z)=0,\quad z\in[0,\;L],\;i=A,B. |
+ | c_i(t=0,z)=q_i(t=0,z)=0,\quad z\in[0,\;L],\;i=A,B. \qquad [5] |
</math> |
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Revision as of 13:58, 21 November 2012
Description of physical model
Preparative liquid chromatography as a crucial separation and purification tool has been widely employed in food, fine chemical and pharmaceutical industries. Chromatographic separation at industry scale can be operated either discontinuously or in a continuous mode. The continuous case will be addressed in the benchmark SMB, and here we focus on the discontinuous mode -- batch chromatography.
The dynamics of the batch chromatographics column can be described precisely by an axially dispersed plug-flow model with a limited mass-transfer rate characterized by a linear driving force (LDF) approximation. In this model the differential mass balance of component (
)
in the liquid phase can be written as:
where and
are the concentrations of solute $i$ in the liquid and solid phases, respectively, $u$ the interstitial liquid velocity,
the column porosity,
the time coordinate,
the axial coordinate along the column,
the column length,
the axial dispersion coefficient and
the P\'{e}clet number. The adsorption rate is modeled by the LDF approximation:
where is the mass-transfer coefficient of component
and
is the adsorption equilibrium concentration calculated by the isotherm equation for component
. Here the bi-Langmuir isotherm model is used to describe the adsorption equilibrium:
where
and
are the Henry constants, and
and
the thermodynamic coefficients.
The boundary conditions for Eq. [] are specified by the Danckwerts relations:
where is the concentration of component
at the inlet of the column. A rectangular injection is assumed for the system and thus
where is the feed concentration for component
and
is the injection period. In addition, the column is assumed unloaded initially: