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Cerno Bioscience Releases GC/ID V2.0 Software for GC/MS Compound ID
Product News

Cerno Bioscience Releases GC/ID V2.0 Software for GC/MS Compound ID

Cerno Bioscience Releases GC/ID V2.0 Software for GC/MS Compound ID
Product News

Cerno Bioscience Releases GC/ID V2.0 Software for GC/MS Compound ID


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Cerno Bioscience has released version 2.0 of its MassWorks Rx GC/ID software.  GC/ID is a fully automated data processing software that aims to enable dramatic improvements for GC/MS qualitative analysis.  GC/ID now provides accurate mass formula confirmation through molecular or fragment ions beyond conventional library searches in the NIST, Wiley, or user generated libraries.  In addition, GC/ID 2.0 takes advantage of the expanded compound Retention Index (RI) data in the new commercial library collections (NIST20 and Wiley Registry 12) to automatically perform quantitative RI match to provide yet a third metric for compound identification.  Together, these 3 metrics – library search, accurate mass formula confirmation, and RI match – could save the analyst hours of tedious review or re-analysis while also increasing the quality and confidence of compound identification.

Molecular and fragment ion formula confirmation is accomplished using Cerno’s patented and proven TrueCal™ calibration technology. Using full profile mode data and the GC/MS built-in calibration gas, the MS is automatically calibrated for both accurate mass (easily within +/- 20 mDa) and spectral accuracy (typically >99%).  This provides an Effective Mass Accuracy (EMA) on a single quadrupole comparable to high resolution instruments.

Version 2.0 also includes powerful peak deconvolution capability.  By using the accurately calibrated profile mode spectral data combined with a novel approach to accurately analyze the actual chromatographic peaks, “false” spectral components are minimized to provide more accurate and confident results.  In addition, compound confirmation by RI is now fully comprehensive for all compounds in the new NIST20 libraries thanks to a new computational method using advanced Artificial Intelligence (AI).  Combined with the extensive collection of experimental values, NIST20 now provides RI data for every compound in the entire library.

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