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User-friendly method for GCxGC optimization

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User-friendly method for GC×GC optimization

Stefanuto P-H., Dimandja J-M., Focant J-F.

Organic and Biological Analytical Chemistry

University of Liège

Allée du 6 août, B6c, 4000 Liège, Belgium

Organic and Biological Analytical Chemistry

University of Liège

Allée du 6 août, B6c, 4000 Liège, Belgium

Conclusions

The Orthogonality Index (OI) calculation allows

GC

×GC user to have a quantitative evaluation of

their column sets and to classify those.

Based on this tool, four different types of

orthogonality where define: the Normal, the Reverse,

the Hybrid and the Transpose orthogonality. This

classification is based on the separation pattern obtain

on the 2D space.

This method in addition to other numerical parameters

can help people to choose the best column set and to

optimize their

GC×GC methods.

Introduction

Why do we use GC×GC for complex samples analysis?

There are plenty of reasons but the biggest one is the

additional dimension of separation.

Challenge

GC×GC is a really power full tool. Unfortunately, the

optimization step is not obvious due to the huge number of parameters that can be change.

The final method is, most of the time, the best compromise.

Context

Thanks to Restek, SGE, Sigma Aldrish and DANI for their strong support during this research.

Acknowledgments

Stefanuto Pierre-Hugues

phstefanuto@ulg.ac.be

+32 (0) 494 03 40 12

+32 (0) 4 366 34 30

0 1 2 3 4 5 6 7 0 10 20 30 40 50 60 0 1 2 3 4 5 6 7 0 5 10 15 20 25 30 35 40 45 50 0 1 2 3 4 5 6 7 0 10 20 30 40 50 60

Basis of this study: The Century Mix

The descendant of the Phillip mix!

-  Mix of homologous series of different chemical families -  Around 120 compounds

-  Design to be an evaluation tool for GC×GC users

Classification method

There are more and more columns available on the market. With the new type of phases (e.g. liquid ionic), the range of polarity is constantly growing.

è An universal classification method should help people to

find the best combination!

Orthogonality Index: Measure of the angle between C6-C10 line

in the alkane family and the C6-C10 line in the aromatic

hydrocarbon family.

è4 different kind of orthogonality classifications:

Normale Orthogonality: Non-polar – Semi-polar Reverse Orthogonality: Semi-polar – Non-polar Hybrid Orthogonality: Semi-polar – Semi-polar

Transpose Orthogonality: Extremely-polar – Non-polar

Results & Discussion

Orthogonality  Index  values  

        OI   SD   Normal  Orthogonality   2,53   0,17   Reverse  Orthogonality   -­‐13,12   0,12   Hybrid  Orthogonality   3,38   0,18   Transpose  Orthogonality   -­‐87,23   0,02   0 1 2 3 4 5 6 7 0   10   20   30   40   50   60   1t R(min) 1tR(min) 2t R(sec) 2t R(sec)

Figure 1: Century mix injections on the different kind of orthogonality combination and visualization of the OI.

N.B: All the injections were done in the same GC condition.

Normal Reverse

Hybrid Transpose

Table 1: OI values calculated on triplicate injections

Some interesting observations:

Surprisingly, the Normal orthogonality has a smaller OI than the Hybrid one. The Hybrid combination is not

orthogonal based on the strict definition but for some

compounds, it offers a better separation than the most used column combination.

The Transpose orthogonality can be really helpful for

semi-polar compounds separation but the column choice should probably be less extreme.

There are still plenty of combination to test and

certainly plenty of interesting information to find

in the future of this research…

Going back to the mathematical definition of the Orthogonality

Références

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