Simulation of gel permeation (size exclusion) chromatography Jetse Reijenga 1, Wieb Kingma 1, Dušan...

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simulation of gel permeation (size exclusion) chromatography Jetse Reijenga 1 , Wieb Kingma 1 , Dušan Berek 2 , Milan Hutta 3 1 Eindhoven University of Technology 2 Slovak Academy of Science, Bratislava 3 Comenius University Bratislava

Transcript of Simulation of gel permeation (size exclusion) chromatography Jetse Reijenga 1, Wieb Kingma 1, Dušan...

simulation of gel permeation (size exclusion) chromatography

Jetse Reijenga1, Wieb Kingma1, Dušan Berek2, Milan Hutta3

1Eindhoven University of Technology2Slovak Academy of Science, Bratislava

3Comenius University Bratislava

ISSS-2006 Lipica 27-29 september 2006

Demonstrate and visualize the influence of following parameters on chromatographic results and interpretation:• Choice sample: polymer, molar mass, distribution• Choice of column parameters• Choice of instrument parameters

target audience

• Polymer scientists• Chromatographers• Teachers of separation science• Students

purpose of the simulator

• flow rate (0.1-10 ml/min, default 1 ml/min)• injection volume (1-1000 l, default 10 l)• temperature (25-220 ºC, default 40 ºC)• column length (50-1200 mm, default 300 mm)• column ID (2-20 mm, default 7.5 mm)• connection (dead) volume (0-1000 µl)• detector type (Refractive Index, Viscosity, Density, Lightscatter• detector volume (1-1000 µl)• detector path length (1-25 mm)• detector time constant (0.01-5 s)

instrument parameters that can be manipulated and trained

PS calibration typical for commercially available columns

broad range columns

4

5

6

7

8

9

10

2 3 4 5 6 7

log(molar mass)

elu

tion

volu

me [

ml]

narrow range columns

4

5

6

7

8

9

10

2 2.5 3 3.5 4 4.5 5 5.5 6 6.5 7

log(molar mass)

elu

tion v

olu

me [

ml]

column types (default size 300x7.5 mm)

• type of polymer• molar mass (1,000 - 10,000,000 g/mol)• sample: either single polymer of variable distribution or mix of

infinitely narrow distributions of several different polymers• distribution function (Poisson, Lognormal or Flory)• sample concentration (0-1000 mg/ml)

PS (as calibration reference), PMMA, PEMA, PBMA, PiBMA, P2EHMA, PC10MA, PMA, PEA, PBA, P2EHA, PiBoMA, PVA, PCL, PC etc

sample parameters

• calibration through PS as a reference using polynomal fit to the

calibration curves from the manufacturer:

Ve = A + B.LogM + C.LogM2 + D.LogM3 + E.LogM4 + F.LogM5

• other polymers i modeled using K and a coefficients:

log(MPS) = (1/(aPS + 1))log(Ki/KPS) + ((ai + 1)/(aPS + 1))log(Mi)

• K and a coefficients (THF, 25ºC) were taken from literature

• detailed modeling of chromatographic peak broadening

• simulation of influence of extra-column broadening (injection,

connections, detection)

modeling retention & dispersion

universal calibration

choose column….

choose detector

bandbroadening details

conclusions

Using one can:

• Visualize all retention and dispersion effects• Validate experimental setup• Check sensitivity of results for many operating parameters• Extrapolate current instrument specifications• Perform hypothetical experiments

http://chem.tue.nl/ce

Thank you

Thank you