Data Analysis Software for Comprehensive GC ChromSquare
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Catalog excerpts

Data Analysis Software for Comprehensive GC ChromSquare - 1

Data Analysis Software for Comprehensive GC ChromSquare C18 Fatty Acid Components Volatile Components in Coffee Beans (provided by Prof. Mondello at the University of Messina) Enables analysis of large amounts of information in an easier, more reliable manner Interaction Functions Allow Confirming Spot Information at a Single Glance A 2D map, chromatogram view, mass spectrum, and spot information can be displayed in the same window. 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. Mass Spectrum of Cursor Position Shows the relationship between the 2D map and spot table highlighted. Closely Linked to GCMSsolution Cursor position Chromatogram view In addition to being able to directly import data from GCMSsolution, ChromSquare can also use GCMSsolution mass spectra search technology. Directly import data from GCMSsolution. Search spectra using the GCMSsolution library search engine. In upto 5 libraries can be searched simultaneously including linear retention indices. In addition to the general-purpose NIST libraries available for GCMSsolution, an extensive selection of mass spectral libraries from Shimadzu can be used, such as the FFNSC Library for flavor and fragrance and a Pesticide Library. Spot Information Table This table summarizes the retention time, intensity, and compound name information for spots.

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Data Analysis Software for Comprehensive GC ChromSquare - 2

Perform quantitative analysis tasks by simply switching between three panels. • 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. ■ Flowchart of Calibration Curve Preparation and Quantitation Process Schedule Table Preparation Specify data file and calibration level. Send information on spot to be quantitated...

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