欧美AV

Module 5 of the Practical Essentials of Sample Preparation course.

This course covers the theory of static and dynamic headspace and how to modify samples to improve results, how to create HS methods, analyse samples and the parameters which can be optimised. This course will cover static and dynamic headspace.

Learning outcomes

• You will learn about Headspace as an automated sample preparation technique for GC or GC-MS in great detail
• You will learn the fundamental theory of Headspace
• You will learn about the types of samples that can be analysed using Headspace
• You will learn about the various parameters that can be optimised for the technique to improve method robustness and sensitivity
• You will learn about the individual steps and processes of Headspace analysis
• You will learn the frequent maintenance and common troubleshooting problems in Headspace analysis
• You will learn Headspace tips and tricks
• You will learn about the benefits of using Headspace in the analysis of your samples

Prerequisites

This course requires good knowledge of GC or GC-MS.