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  • MassWorks™
  • GC/ID™
  • SAMMI™
  • NIST Libraries
  • Applications
    • Life Sciences & Healthcare
      • Drug Discovery
      • Drug Metabolism
      • Proteomics
      • Metabolomics
      • Clinical
      • Medical Devices
      • Modification of Biological Molecules
      • Natural Products
    • Academic & Government Research
      • Academic Research
      • Isotope Labeling
      • Organic Synthesis
      • Emerging Markets
    • Chemical & Material Science
      • Chemical and Process R&D
      • Polymers and Additives
      • Extractables and Leachables
      • Organic Synthesis
    • Environmental & Public Safety
      • Environmental
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    • Consumer & Industrial
      • Consumer Packaging
      • Flavors and Fragrances
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Cerno Bioscience > Testimonials
  • Video – sCLIPS for high res

    sCLIPS, dramatically improve Spectral Accuracy on high resolution instruments

    Cerno Bioscience
  • Video-sCLIPS+

    sCLIPS+ – Scan-by-Scan Spectral Accuracy of Ultra HiRes Orbitrap LC/MS Formula ID

    Cerno Bioscience
  • Testimonial – U Madrid

    “MassWorks has proven itself on our GC/MSD system for accurate mass measurements and unknown formula ID.  When applied to...

    Cerno Bioscience
  • ASMS2017-WP654

    Determination of Ligand Number and Distribution in Intact Protein Conjugates with High Mass MALDI-TOF-MS

    Cerno Bioscience
  • ASMS2017-WP399

    Direct and Accurate LC/MS Quantitation of Ring Labeled Compounds  

    Cerno Bioscience
  • Publication Angewandte Chemie Aleman

    Visible Light Photocatalytic Intramolecular Cyclopropane Ring Expansion

    Cerno Bioscience
  • JACS Erik Jansson Richard Zare Stamford

    Rapid Hydrogen−Deuterium Exchange in Liquid Droplets

    Cerno Bioscience
  • Sorghum USherbrooke

    Effect of steam treatments on the availability of various families of secondary metabolites extracted from green sweet sorghum

    Cerno Bioscience
  • Appnote113

    Direct Quantitation of Complex Mixtures of Isotope Labeled Compounds

    Cerno Bioscience
  • Pittcon2017 Poster

    Towards More Robust, Accurate, and Automated GC/MS Compound ID

    Cerno Bioscience
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