Discover the Benefits of Sample Preparation with GC×GC for Pharma

by | Food Safety Testing, Gas Chromatography, Pharmaceutical

Separation Science, in collaboration with SepSolve Analytical, offers a selection of application notes relevant for pharma and clinical analysis embracing sample extraction and enrichment with comprehensive two-dimensional GC (GC×GC) technologies.

Markes_Apps_Pharma_June2020_v2Click on below to view the methods...

Discovery of Biomarkers in Breath: Development and Optimisation of a TD–GC×GC–TOF MS Analytical Platform
This study describes the development of an analytical platform based upon TD–GC×GC–TOF MS and shows its application to the collection and analysis of breath samples. The enhanced separation achieved ensures confident identification of biomarkers. Key advantages of the system described are the superior repeatability of flow modulated GC×GC and excellent linearity.

 

Discovery of Biomarkers in Breath: Efficient Screening with TD–GC–TOF MS
This study describes an analytical system for the rapid identification of potential disease biomarkers in breath, through the use of sampling onto TD tubes, followed by automated preconcentration and GC–TOF MS.

 

Discovery of Biomarkers in Breath: Enhancing Separation and Identification using GC×GC–TOF MS
This study describes the comprehensive, high-sensitivity screening of disease biomarkers, through use of sampling onto TD tubes, automated preconcentration, and GC×GC–TOF MS.

 

Robust Comparison of Terpene Profiles across Cannabis Strains
This study describes the use of GC×GC–FID for robust profiling of terpenes in cannabis. A key feature is the enhanced separation provided by GC×GC, which improves confidence in compound identity and data quality.

 

Developing a Discovery-based Approach to Cannabis Testing using GC×GC–TOF MS
This poster evaluates a discovery-based approach for terpene profiling using comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC×GC–TOF MS) for enhanced separation and improved sample characterisation.

 

 

Published  Mar 12, 2021

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