Gas Chromatography (GC). Instruments for gas-liquid chromatography.
The Theory for Gradient Chromatography Revisited by Jan Ståhlberg Academy of Chromatography .
-
Upload
helena-quinn -
Category
Documents
-
view
214 -
download
0
Transcript of The Theory for Gradient Chromatography Revisited by Jan Ståhlberg Academy of Chromatography .
The Theory for Gradient Chromatography Revisited
by
Jan Ståhlberg
Academy of Chromatography
www.academyofchromatography.com
Version: 05/20/07(c) Academy of Chromatography 2007 2
Objective of the presentation
Discuss the background of the traditional theory for gradient chromatography.
Show how a more fundamental and general theory for gradient chromatography can be obtained.
Show some applications of the general theory.
Brief review of the traditional theory (1)
Version: 05/20/07
The traditional derivation starts with the velocity of the migrating zone as a function of the local retention factor.
Zone velocity Local retention factor as a function of mobile phase composition
Mobile phase velocity(x,t)
us
Brief review of the traditional theory (2)
Introduce the coordinate z where:
Assume that a given composition of the mobile phase migrates through the column with the same velocity as the mobile phase, i.e. u0. Let the solute be injected at x=0 and t=0.
The equation for the migrating zone can now be written:
Version: 05/20/07
Brief review of the traditional theory (3)
The retention time is found from the integral:
Version: 05/20/07
In many cases the retention factor of a solute decreases exponentially with , i.e.:
Where S is a constant characteristic of the solute.
Brief discussion of the traditional theory (4)
• For a linear gradient with slope G and for a solute with retention factor ki at t=0, integration gives:
Version: 05/20/07
Mass balance approach(1)
Version: 05/20/07
A fundamental starting point for an alternative gradient theory is the mass balance equation for chromatography:
c= solute concentration in the mobile phasen= solute concentration on the stationary phaseF= column phase ratioD= diffusion coefficient of the solute x= axial column coordinatet= time
Mass balance approach(2)
The stationary phase concentration is a function of the mobile phase composition, Φ, i.e. n=n(c,Ф(x,t)) .
This means that:
For a linear adsorption isotherm F*δn/ δ c is equal to the retention factor k(Ф(x,t)).
Version: 05/20/07
Mass balance approach(3)
Version: 05/20/07
The mass balance equation becomes:.
Here, the diffusive term has been omitted. The equation is the analogue of the ideal model for chromatography.
The term ∂n/∂Φ is a function of c, i.e. In the limit c→0, the traditionalrepresentation of gradient chromatography theory is obtained.
Mass balance approach(4)
Version: 05/20/07
For a solute it is often found that:
Where c is the concentration of the solute in the mobile phase and k0 the retention factor of the solute when Ф =0.
The function ∂Ф/∂t is known and determined by the experimenter. For a linear gradient it is equal to the slope, G, of the gradient.
Mass balance approach(5)
For this particular case the mass balance equation is:
Where ki is the initial retention factor at t=0.
The solution of this equation is of the form:
where f(x,t) is determined by the boundary and initial conditions.
Version: 05/20/07
Mass balance approach(6)
Example:Assume that the solute is injected at x=0 as a Gaussian
profile according to
The solution of the differential equation is found to be:
Version: 05/20/07
Gradient equation; Gaussian injection;S*G=5
Version: 05/20/07
• Solution of the gradient equation for a Gaussian profile, red line. Numeric simulation of the complete mass balance equation, H=10m, for the same input parameters. c0=10 mmol, t0=50,s ki=10, ,ti=10s
Gradient equation; Gaussian injection;S*G=1
Version: 05/20/07
• Solution of the gradient equation for a Gaussian profile, red line. Numeric simulation of the complete mass balance equation, H=10m, for the same input parameters. c0=10mmol, t0=50,s ki=10, ,ti=10s
Gradient equation; Gaussian injection;S*G=0.1
Version: 05/20/07
• Solution of the gradient equation for a Gaussian profile, red line. Numeric simulation of the complete mass balance equation, H=10m, for the same input parameters. c0=10 mmol, t0=50,s ki=10, ,ti=10s
Gradien equation; Gaussian injection;S*G=0.05
Version: 05/20/07
• Solution of the gradient equation for a Gaussian profile, red line. Numeric simulation of the complete mass balance equation, H=10m, for the same input parameters. c0=10 mmol, t0=50,s ki=10, ,ti=10s
Gradient equation; Gaussian injection: S*G=0.01
Version: 05/20/07
• Solution of the gradient equation for a Gaussian profile, red line. Numeric simulation of the complete mass balance equation, H=10m, for the same input parameters. c0=10 mmol , t0=50,s ki=10, ,ti=10s
Mass balance approach(7)
Example:Assume that the solute is injected at x=0 as a profile
according to
The solution of the differential equation is:
Version: 05/20/07
Mass balance approach(8)
Example:
Assume that the solute concentration is constant and independent of time. The solution of the
differential equation is:
Version: 05/20/07
Conclusions
• A fundamental and general theory for gradient chromatography can be obtained from the mass balance equation for chromatography.
• The traditional theory for gradient chromatography is a special case of a more general theory, it is valid in the limit c(solute) 0.
• By neglecting the dispersive term in the mass balance equation, algebraic solutions are easily found.
• Practical consequences:• By comparing experimental data with the exact solution, the
effect of dispersion can be quantified.
• ……..
Version: 05/20/07