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Application note on gas chromatography optimization.

Introduction

In routine chromatographic separations, it is of crucial importance to keep the total run time short, without jeopardizing necessary chromatographic resolution. This application note shows an example on how this can be achieved with the MultiSimplex software.

The application note is based on a study performed in a contract laboratory. 

Problem

To reduce run time in an analytical method for determination of PCB, with HRGC/ECD.

Control variables

Four control (experimental) variables were used. The settings are specified in the table below.

  Ref. value Step size
Inital temperature, °C 190 10
Initial time, min 4 2
Temperature gradient, °C/min 6 2
Maximum oven temp., °C 300 10

Response variables

Three different response variables were used to characterize the outcome. The settings are specified in the table below.

  Objective Low limit High limit Influence
Resolution 1 Maximization 1 2 Medium
Resolution 2 Maximization 1 2 Medium
Run time, min Minimization 25 50 High

The shape of the membership functions was proportional for all three responses.

Results

The results from the 10 optimization trials are shown in the table below.

Initial temp. Initial time Temp. gradient Max temp. Rs 1 Rs 2 Run time
°C min °C/min °C     min
185 5.0 5.0 295 1.201 1.959 45.06
195 5.0 7.0 295 1.119 1.811 39.16
195 5.0 5.0 305 1.226 2.020 39.69
185 3.0 7.0 305 1.135 1.870 34.82
195 3.0 5.0 295 1.182 1.992 41.10
200 3.0 7.0 305 1.115 1.820 32.73
208 2.0 8.0 310 1.043 1.725 28.01
197 1.5 5.5 313 1.125 1.880 32.68
198 2.8 7.8 322 1.080 1.735 27.79
199 2.6 9.1 335 1.016 1.698 24.18

In this study the total run time was shortened from 45 to 25 minutes, see figures below, without any significant loss of resolution.

Click here to view run time vs. trial number

Click here to view chromatogram before optimization.

Click here to view chromatogram after optimization.

Conclusion

The MultiSimplex methods are quick and easy to apply for optimization of gas chromatographic methods. A systematic optimization is achieved in a limited number of trials. You proceed in the desired direction and get off when you are satisfied.

Send mail to multisimplex@metso.com with questions or comments about this web site. Legal stuff. 
 



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