This article explores the application of Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS) metabolomics for the discovery of antifungal compounds from Orchidaceae species.
Molecular networking has emerged as a cornerstone methodology for metabolite annotation in untargeted metabolomics, transforming complex MS/MS data into intuitive molecular relationship maps.
This article provides a comprehensive exploration of ultrahigh-resolution mass spectrometry (UHRMS) and its transformative impact on metabolomics research.
This article provides a comprehensive guide for researchers and drug development professionals on applying supervised machine learning for sample classification.
This article provides a comprehensive overview of multi-omics data integration strategies for the holistic profiling of wine, a complex biochemical matrix.
This article explores the powerful combination of Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS) and Nuclear Magnetic Resonance (NMR) spectroscopy through data fusion strategies for food classification and authentication.
This article provides a comprehensive analysis of the metabolic dynamics in fungal-infected plants, a critical interface determining infection outcomes.
The escalating threat of invasive fungal infections, compounded by rising drug resistance and a limited antifungal arsenal, necessitates the exploration of novel therapeutic agents.
This article provides a comprehensive overview of the modern structure elucidation process for natural products, crucial for researchers and drug development professionals.
This article provides a comprehensive overview of metabolite fingerprinting, a powerful non-targeted metabolomics approach for the rapid classification and comparison of complex plant extracts.