Investigation of Chemical Profiles of Different Parts of Using a Combination of Molecular Networking Methods with Mass Spectral Data from Two Ionization Modes of LC/MS.

Plants produce numerous secondary metabolites with diverse physicochemical properties. Because different parts of a single plant produce various components, several spectroscopic methods are necessary to inspect their chemical profiles. Mass spectral data are recognized as one of the most useful tools for analyzing components with a wide range of polarities.

α-Glucosidic hydroquinone derivatives from Viburnum erosum.

Six undescribed compounds (1-6) were isolated from the leaves of Viburnum erosum along with four known compounds 7-10. The structures were determined by NMR and MS spectroscopic analyses, and their absolute configurations were established by chemical and spectroscopic methods. Compounds 1-6 were α-glucosidic hydroquinone derivatives with different linear monoterpenoid structures.

Targeted Isolation of Cytotoxic Sesquiterpene Lactones from by the NMR Annotation Tool, SMART 2.0.

Small Molecular Accurate Recognition Technology (SMART 2.0) has recently been introduced as a NMR-based machine learning tool for the discovery and characterization of natural products. We attempted targeted isolation of sesquiterpene lactones from with the aid of structural annotation by SMART 2.

Obovatol inhibits NLRP3, AIM2, and non-canonical inflammasome activation.

Background: Obovatol, a biphenolic chemical originating from Magnolia obovata, has been utilized as a traditional medicine for the treatment of inflammatory diseases. Inflammasome induces maturation of inflammatory cytokines in response to intracellular danger signals, and its dysregulation induces inflammatory diseases.

Purpose: The effect of obovatol on inflammasome activation has not been reported, although its anti-inflammatory properties have been studied.