Forensic laboratories routinely analyze samples collected from fire scenes for the presence of ignitable liquid residues (ILRs). ILRs are often recovered from fire debris using a passive heated headspace extraction, with adsorption of volatile components on active carbon followed by solvent or thermal desorption.
Gas chromatography-mass spectrometry (GC-MS) is a powerful analytical technique for identifying, confirming and quantifying organic compounds in complex matrices.
Comprehensive two-dimensional GC-MS is a powerful analytical tool that has evolved from technology used mainly in the R&D laboratory to a robust commercially available solution from several manufacturers. As the amount of data from these instruments can be overwhelming, we have developed AnalyzerPro XD as a vendor neutral 2D data processing solution for all chromatographic-MS data. This software uses chromatographic deconvolution and component reconstruction to isolate the components from each sample.
Metabolomics has a great potential in addressing the metabolic gap in microbe-host systems and expanding knowledge on the human gut microbial metabolism. Metabolomics as a field is the analysis and unbiased relative quantification of all metabolites in a biological sample. However in order to study the entire metabolome of a biological system, it is essential that most, if not all, of the metabolites present in the system in question are extracted and identified through analytical platforms.
To reduce the impact of non-biological variance introduced into untargeted metabolomics datasets by, among other factors, gradual changes in instrument performance, it is common practice to include the analysis of reference samples throughout an analytical sequence. There are few single software platforms for data processing, signal-correction and analysis/interpretation which are vendor neutral and support GC- and LC-MS data, and fewer implemented through a GUI. Here we present this software capability and have explored approaches for the validation of signal-corrected data.
Advances in mass spectrometry are enabling analysis of micro samples and unknown components that were not observable before. As the volume of information acquired from mass spectrometry increases, researchers are calling for simple techniques to analyze the numerous components observed, and as a result, there is a rise in demand for comprehensive analytical techniques including multiple classification analysis.
