Automate and Enhance Static Headspace Gas Chromatography Determinations
CEN Webinars: Stronger Bonds

Automate and Enhance Static Headspace
Gas Chromatography Determinations


Thursday, June 13, 2013

USA 11:00 a.m. EDT, 10:00 a.m. CDT, 8:00 a.m. PDT, 16:00 BST


Who should attend?

Analytical laboratory instrumentation operators, analysts, and technicians seeking to adopt and optimize automated headspace GC solutions for enhanced productivity and faster results.


Massimo Santoro
Marketing Manager
GC and Sample Solutions
Thermo Fisher Scientific


Ann Thayer, Ph.D.
Senior Correspondent


Static headspace is a widely used sampling technique for the analysis of volatile organic compounds in liquid and solid matrixes by gas chromatography. This technique is accepted worldwide with a set of official norms regulating the determination of residual volatile species in various sample types, such as environmental water and soil samples, consumer and pharmaceutical products, and biological samples.

Headspace instrumentation is constantly evolving to meet ever growing and challenging throughput and sensitivity needs. During this presentation, you will learn how to select static headspace systems for the specific needs of any laboratory, taking into consideration analytical parameters, official norms and throughput requirements.

We will review how modern headspace instrumentation incorporates sample-handling advancements that enable enhanced automation, including automated sample injections and more advanced tasks, such as dilutions for automated standard curve generation, internal standard additions, and derivatization routines which ultimately improve the quality of data generated.

High-throughput environmental, forensic, pharmaceutical, and material characterization analyses run by means of static headspace will be shared.

Key Learning Objectives:

• Applications of headspace technology in the analysis of volatile organic compounds

• How to incorporate automation into current headspace workflows

• How to optimize and automate sample handling procedures for maximum throughout

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