The Gas Chromatographers’ Training Seminar

Phenomenex Training Seminars 2024: The Gas Chromatographers’ Training Seminar

Course Summary

This course is ideal for:

• Scientists new to Gas Chromatography.
• Chromatographers with experience of running GC methods, but looking to develop new methods.
• Gas Chromatographers wishing to refresh their knowledge of GC and to learn new troubleshooting tips.

Registration

Date and Location

21 and 22 May 2024

• 08:30 - 12:30 BST | 09:30 - 13:30 CEST
• Online

1 and 2 October 2024

• 08:30 - 12:30 BST | 09:30 - 13:30 CEST
• Online

Price (per person)

£425 | 485 € | 480 CHF | 1200 PLN | 3600 DKK | 5100 NOK | 5350 SEK | 9300 CZK (+VAT, incl. PDF of the slides and certificate of attendance)

Practical skills acquired

This course will enable you to implement GC analytical methods by transferring the parameters from the method to your GC or GC-MS system. In addition you will be able to:

1. Understand what is meant by all the parameters in an GC analytical method.
2. Optimize a GC or GC-MS analytical method choosing the right column phase and dimensions and the right accessories.
3. Interpret chromatograms obtained from GC analysis and being able to fix most common issues (basic troubleshoot).
4. Understand the basics of GC method development and optimization.

Part one: Fundamentals, columns selectivity, and injection techniques

• GC concepts and fundamentals - recapping subjects like: Retention time, efficiency, capacity factor, selectivity and how this influences resolution
• GC column / phase selection – stationary phase selectivity and how to improve analytical method by choosing the correct selectivity, including examples and case studies
• Inlets, Detectors and Injection types and how to optimise this
• How to choose the correct accessories for a GC method: liners, septa, ferrules

Part two: Troubleshooting and Method development

• Troubleshooting – going through procedure, examples and case studies
• Method development and optimisation, how to start a method and how to optimise an existing one, with examples and case studies.