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Abstract. The genus Psilocybe (Basidiomycota) comprises over 300 mushroom-forming species, many of which produce the secondary metabolite psilocybin, a pro

Garage Project worked with Te Kāuru Ferrier Research Institute and some of the world's leading carbohydrate scientists.

Stable isotope analyses are powerful techniques to detect counterfeiting of food products, especially in vanillin, one of the world’s most popular flavors used in food and pharmaceutical industries. A...

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qNMR summit 2027 website. This page provides details of the conference.

qNMR Summit Programme Keynote 1: The Future of qNMR – Trends & Opportunities (30 min) Yang Liu (USP) “Advancing qNMR: Community Insights, Emerging Technologies, and Future Initiatives” Session 1: qNMR...

qNMR Summit 2025 19th-21th November 2025 Polytechnic University of Bari Bari – Italy Polytechnic University of Bari – November 19-21, 2025 Register Now! Date & Venue Start: 12:00 – 19/11/2025End: 12:0...

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qNMR Summit 2025 19th-21th November 2025 Polytechnic University of Bari Bari – Italy Polytechnic University of Bari – November 19-21, 2025 Register Now! Date & Venue Start: 12:00 – 19/11/2025End: 12:0...

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Join our JEOL Mini-Symposium in the IBBR Auditorium on Monday, May 19, from 9:30 AM to 11:30 AM! This hybrid webinar will feature: Dr. Iain Day (JEOL JASON, UK) "SMILEQ: qNMR tools for JASON&quo...

This Perspective seeks to reconnect the current practice of nuclear magnetic resonance (NMR) spectroscopy in chemical structure and quantitative (qNMR) analysis with its roots in classical physics and quantum mechanics (QM). Rationales for this approach are derived from various angles, including focused reviews of the key parameters of the nuclear resonance phenomenon, the structural information richness of NMR spectra, and significant progress in both computational and spectrometer hardware. This provides collective reasoning for the reintegration of computational quantum mechanical spectral analysis (QMSA) into the contemporary practice of NMR spectral interpretation. Retethering operator-dependent visual phenotypic with QM-driven computational genotypic analysis yields more objective and accurate information by taking advantage of QM as the foundational reference point for NMR. Powerful computational tools for compound genotyping are available and evolve rapidly toward automation. In addition to enhancing the rigor and reproducibility of structure elucidation of new and the dereplication of known compounds, QM anchoring enables competent resolution of peak overlap, with resulting benefits in qNMR and low-field/benchtop NMR analysis. Furthermore, examination of common definitions and documentation practices shows that an evolutionary reconciliation of NMR terminology helps resolve ambiguities: shifting from phenotypic peak focus to genotypic QM-based pattern analysis is not only the logical next step when communicating structures of natural products and other molecules reproducibly but also a timely approach, as it yields QMSA-verified data for evolving knowledge bases for molecules of biomedical relevance.

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