Mass Spectra of Geochemicals, Petrochemicals and Biomarkers features 1,093 high-quality spectra of well-defined compounds, with structures confirmed by methods like NMR and x-ray crystallography—ideal for organic, geo, and petrochemists.

Wiley’s new database offers mass spectra for over 1,800 key organic compounds as TMS derivatives, including linear temperature-programmed retention indices ranging from 713 to 4700 units.

Mass Spectra of Designer Drugs is the leading MS library for identifying designer drugs, pharmaceuticals, and chemical agents, trusted by forensic, clinical, and toxicology labs worldwide for fast, reliable identification of illicit substances.

The updated MMPW spectral database is a key resource for clinical and forensic toxicologists. It provides experimental data and classifies substances by toxicological category to support accurate compound identification.

Wiley’s new Food, Flavors, Fragrances, and Related Compounds GC-MS Library speeds up your analytical workflow with a targeted collection designed to deliver the compound coverage essential for food testing and product development.

Access over 956,000 high-quality spectra with the KnowItAll GC-MS Library, a comprehensive resource designed to speed up spectral identification and support analytical workflows in research.

The 2023 NIST/EPA/NIH Mass Spectral Library is a major update from NIST's expert team, reflecting 40+ years of development. It’s an essential, trusted resource for accurate mass spectral analysis.

The 2023 release offers 873,000+ spectra with expanded coverage for faster workflows. Ideal for untargeted GC-MS and accurate mass MS-TOF, this comprehensive MS library ensures confident spectral search results across diverse, demanding applications.

Wiley Registry/NIST 2023 is the largest commercial MS library with 3+ million spectra (EI & MS/MS), ensuring reliable unknown compound identification across various applications.

Simply GC×GC from LECO guides users through the steps of creating an optimized GC×GC method or converting an existing 1D GC method for complex samples.