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Volume 8, Issue 5 (Suppl) J Chromatogr Sep Tech, an open access journal
ISSN: 2157-7064 Chromatography 2017
August 07-09, 2017
August 07-09, 2017 | Rome, Italy
4th World Congress on
Chromatography
Product control using differential GC/MS and comprehensive GCxGC/MS
Marco Ruijken
MsMetrix, Netherlands
During product control or trouble shooting, the investigator is often confronted with two samples; one sample relates to the
good quality product, while the other sample can be an out-of-spec batch, or a sample with bad product characteristics,
e.g. having a different smell or taste. Typically for the above examples is the limited time available to solve these problems. GC-
Analyzer is a software product developed to detect differences between two samples at very low levels. All fragmentation ions
are searched for being different between both samples. De-convolution and subsequent identification (NIST) is implemented to
quickly identify possible components of interest. Similar algorithms have been developed to handles comprehensive GCxGC-
MS data. Certainly, GCxGC/MS is a technique having superior separation capabilities compared to 1-dimensional GC/MS, but
co-elution or near co-elution still might occur, especially in complicated matrices. Whereas most software tools for GCxGC/
MS use processing of “TIC” data only, our new methods apply data analysis using the “all ions” approach. The implemented
method allows for the detection and de-convolution of differential components that are not or badly separated, even in two
dimensions. It will be demonstrated that processing using the “all ion” approach will substantially detect more (differential)
components, compared to the analysis using TIC data only. Technical details of the algorithms will be explained and examples
will be given from applications like food analysis, product control in flavor & fragrance industry and from base chemistry
industry.
Biography
Marco Ruijken is the Owner/ Head of Research of MsMetrix, Maarssen the Netherlands. MsMetrix develops informatics solutions for LC/MS and GC/MS Data
Analysis in the area of: Metabolite Profiling, Metabolomics, Proteomics, BioMarker Discovery, and Impurity / Degradation Profiling. Our mission is to be the premier
provider of fast, affordable, user-friendly and reliable software in the above application fields. His educational background is in Chemometrics/Statistics and
Processing of complex data. Current research topics are advanced deconvolution in GC/MS and GCxGC/MS with the focus on Differential Analysis. Furthermore,
we are specialized in implementing ideas or requirements from universities or companies into our existing software tools.
Marco Ruijken, J Chromatogr Sep Tech 2017, 8:5(Suppl)
DOI: 10.4172/2157-7064-C1-032