Affiliation

Bristol-Myers Squibb Company, Research and Development, Pharmaceutical Candidate Optimization - Bioanalytical and Discovery Analytical Research, 5 Research Parkway, Wallingford, CT, USA

Corresponding Author

Dieter M. Drexler, Bristol-Myers Squibb Company, Research and Development, Pharmaceutical Candidate Optimization - Bioanalytical and Discovery Analytical Research, 5 Research Parkway, Wallingford, CT, USA, Tel: 203-677-6340; E-mail: dieter.drexler@bms.com

Citation

McNaney, C.A., et al. Development of an Automated “Just-in-Time” Derivatization Process for Gas Chromatography- Mass Spectrometry Analysis Applied to Metabolomics Samples (2016) J Anal Bioanal Sep Tech 1(1): 3- 7.

Copy rights

© 2016 Drexler, D.M. This is an Open access article distributed under the terms of Creative Commons Attribution 4.0 International License.

Keywords

Abstract

  The systems biology tool, metabolomics, is utilized to explore the question ”What qualitative and quantitative endogenous molecular species differentiate the samples from the respective study groups representing a control, diseased, and treated status?” utilizing a comparative analysis. Among the analytical tools, gas chromatography- mass spectrometry (GC-MS) provides in-depth data. However, the required sample preparation includes chemical derivatization steps which raise concerns about the stability of analytes, especially when dealing with large sample sets resulting in long analyses queues. To address these issues, an automated “just-in-time” derivatization methodology was developed whereby samples are processed in a “serial individual mode” resulting in high quality and reproducible data.