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A mass chromatogram is a representation of mass spectrometry data as a chromatogram, where the x-axis represents time and the y-axis represents signal intensity. [1] The source data contains mass information; however, it is not graphically represented in a mass chromatogram in favor of visualizing signal intensity versus time.
AnalyzerPro is a vendor-independent software application from SpectralWorks for processing mass spectrometry data. It can process both GC-MS and LC-MS data using qualitative and quantitative data processing and is used in metabolomics with MatrixAnalyzer for the comparison of multiple data sets.
One of the most widely used methods for headspace analysis is described by the United States Environmental Protection Agency (USEPA). Originally developed by the R.S. Kerr USEPA Laboratory in Ada, Oklahoma as a "high quality, defendable, and documented way to measure" methane, ethane, and ethene, [7] [8] RSKSOP-175 is a standard operating procedure (SOP) and an unofficial method employed by ...
XCMS introduced the concept of nonlinear retention time alignment that allowed for the statistical assessment of the detected peaks across LCMS and GCMS datasets. [1] XCMS Online [4] was designed to facilitate XCMS analyses through a cloud portal and as a more straightforward [5] (non command driven) way to analyze, visualize and share ...
OpenChrom is an open source software for the analysis and visualization of mass spectrometric and chromatographic data. [4] Its focus is to handle native data files from several mass spectrometry systems (e.g. GC/MS, LC/MS, Py-GC/MS, HPLC-MS), vendors like Agilent Technologies, Varian, Shimadzu, Thermo Fisher, PerkinElmer and others.
GC–MS is used for the analysis of unknown organic compound mixtures. One critical use of this technology is the use of GC–MS to determine the composition of bio-oils processed from raw biomass. [29] GC–MS is also utilized in the identification of continuous phase component in a smart material, magnetorheological (MR) fluid. [30]
SRM can be used for targeted quantitative proteomics by mass spectrometry. [6] Following ionization in, for example, an electrospray source, a peptide precursor is first isolated to obtain a substantial ion population of mostly the intended species.
Gas chromatography-mass spectrometry (GC-MS) is a two-dimensional chromatography technique that combines the separation technique of gas chromatography with the identification technique of mass spectrometry. GC-MS is the single most important analytical tool for the analysis of volatile and semi-volatile organic compounds in complex mixtures. [7]