Analysis of characteristic flavor compounds in coffee peels subjected to different thermal processing treatments based on GC–IMS and HS-SPME–GC–MS combined with chemical pattern recognition

Forced degradation analysis of recombinant adeno-associated virus serotype 8 based on analytical anion exchange chromatography coupled to orthogonal characterization

Combining elemental analysis and molecular techniques to characterize Ancient Egyptian mummification balms

Food

Scientific article

Science and research

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Wiley KnowItAll GC-MS Drug Classification Model Package

The KnowItAll GC-MS Drug Classification Model Package categorizes spectra by drug class—even without a match. Covers opioids, steroids, fentanyls, with 99% accuracy for reliable forensics.

<h4>Efficient Drug Classification with KnowItAll GC-MS Models</h4>In drug analysis, rapid identification is essential—especially when new substances outpace reference spectra. The KnowItAll GC-MS Drug Classification Model Package helps labs classify unknown spectra, even without exact spectral matches.With 99% accuracy, these models cover key drug classes like opioids, steroids, fentanyls, and more. Ideal for forensics, toxicology, and law enforcement, the package enhances your ability to:<ul><li>Classify spectra not found in libraries</li><li>Validate spectral search results</li><li>Make fast, first-pass identifications</li><li>Run batch or automated classifications using the KnowItAll Automate SDK</li></ul><h5>Included Drug Models:</h5><ul><li>Natural &amp; synthetic opioids</li><li>Fentanyls</li><li>Piperazines</li><li>Benzodiazepines</li><li>Steroids</li><li>Ketamine, cocaine, cathinones &amp; related compounds</li></ul>Requirements: KnowItAll software + AVX-compatible system. Learn more: <a target="_blank" rel="noopener noreferrer" href="https://sciencesolutions.wiley.com">sciencesolutions.wiley.com</a>

Wiley LIPIDS Mass Spectral Database

The Lipids Mass Spectral Database includes 430 GC spectra from pure standards across 11 lipid classes. It supports peak assignment in complex mixtures and is valuable for research in food analysis, clinical, and medical applications.

<h4>Validated Lipid Identification Made Simple</h4>The Lipids Mass Spectral Database features 430 GC-MS spectra of pure lipid standards across 11 lipid classes, supporting accurate peak identification in complex mixtures. It's an essential tool in food, clinical, and medical research.With over 1,400 Linear Retention Index (LRI) values determined on three different GC columns and using multiple reference mixtures, the library ensures reliable retention data. Each entry includes detailed metadata such as CAS numbers, formulas, and suppliers.Highlights:<ul><li>430 spectra, 428 unique compounds</li><li>11 lipid classes including FAMEs, sterols, and wax esters</li><li>Experimentally validated LRI on SLB-5ms, Equity-1, Supelcowax-10</li><li>Rich compound metadata for confident identification</li></ul>Explore compound classes at <a target="_blank" rel="noopener noreferrer" href="https://www.compoundsearch.com">www.compoundsearch.com</a>

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Combining elemental analysis and molecular techniques to characterize Ancient Egyptian mummification balms

Forced degradation analysis of recombinant adeno-associated virus serotype 8 based on analytical anion exchange chromatography coupled to orthogonal characterization

Analysis of characteristic flavor compounds in coffee peels subjected to different thermal processing treatments based on GC–IMS and HS-SPME–GC–MS combined with chemical pattern recognition