ChromSquare V2 Software by Shimadzu Europa GmbH

ChromSquare GC/GC is data analysis software for comprehensive gas chromatography (GC/GC). GC/GC analysis uses two different types of columns for higher resolution. This makes it possible to analyze samples with a large number of components that are difficult to identify using regular GC or GC/MS systems, due to overlapping peaks. ChromSquare software enables qualitative and quantitative analysis in a single window. Moreover, the software utilizes MS spectral information to improve the accuracy ... Read more


ChromSquare V2 Software by Shimadzu Europa GmbH product image
ChromSquare V2 Software

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ChromSquare GC/GC is data analysis software for comprehensive gas chromatography (GC/GC).

GC/GC analysis uses two different types of columns for higher resolution. This makes it possible to analyze samples with a large number of components that are difficult to identify using regular GC or GC/MS systems, due to overlapping peaks. ChromSquare software enables qualitative and quantitative analysis in a single window. Moreover, the software utilizes MS spectral information to improve the accuracy of data analysis.

Furthermore, in addition to being able to load Shimadzu GCMS data, it employs the popular GCMSsolution engine for MS spectral searching, which is especially important for qualitative analysis. This results in easier and more accurate data analysis.


Features:

  • Modulation time and spectra are used to decide whether a peak belongs to a certain spot.
  • Displays peaks in the corresponding one-dimensional chromatogram using the same color as the spot boundary in the 2D map.
  • Moving the cursor across the 2D map displays the corresponding location on the one-dimensional chromatogram and displays the mass spectrum corresponding to that position.
  • Shows the relationship between the 2D map and spot table highlighted.
  • Simply switch between the three panels displayed in the same window (Schedule, Chromatogram, and Method) to perform qualitative analysis, prepare calibration curves, or even perform quantitative analysis.
  • Identify spots from multiple sets of data for quantitative analysis using retention times or mass spectra similarity filtering.