Introductory GCxGC Course:
The introductory course will be moderated by John Dimandja. It is designed for people who are relatively new to GCxGC and those who have never used the technique and are are curious about it. In this course we cover the following:
What is a GCxGC separation? Why and when do we need GCxGC separations? Basics of GCxGC data handling and visualization.
All about modulation - what is a modulator? how do modulators work? What should I think about when building/choosing a modulator?
Configuration and Optimization:
How to pick a column set for a separation and how to go about optimizing a GCxGC separation.
Introductory Course Instructors
T. Górecki, U. Waterloo
R. Synovec, U. Washington
H.-G. Janssen, Unilever, Wageningen U.
P. Marriott, Monash U.
J. Dimandja, FDA
Advanced GCxGC Course:
Advanced Course Instructors
The advanced course will be moderated by Flavio Franchina and Giorgia Purcaro. It is designed for people who work with GCxGC and are looking to learn more. This year our advanced course focuses on processing GCxGC data and will cover the following topics:
Data processing steps for GCxGC data and quality checks for data processing.
Understanding the purpose and process of alignment and quality checks for alignment.
How to plan your experiments properly so that you can successfully apply multivariate statistical tools to understand your data, and how to effectively visualize your results.
H. Bean, Arizona State U.
L. Wang Hantao, U. Campinas
C. Cain, U. Washington
P.H. Stefanuto, U. Liège
M. Wilde, U. Plymouth
G. Purcaro, U. Liège
F. Franchina, U. Ferrara