Emerging Metabolomics Techniques and Applications

Dear Colleagues,

Metabolomics is rapidly evolving into a key discipline for exploring metabolic pathways and molecular biomarkers associated with genetic modifications and environmental interventions underlying health and disease. Driven by advances in high-resolution separation, high-sensitivity detection, and high-performance bioinformatics, metabolomics is expanding from non-targeted global profiling to comprehensive characterization of metabolites and lipids in highly quantitative or spatially and temporally resolved ways.

Recent years have witnessed remarkable progress in sample preparation and analytical workflows, significantly improving the quality and reproducibility of metabolomics data. Emerging approaches—such as microextraction, novel chemical derivatization, in situ sampling, and automation—have greatly enhanced sensitivity, matrix compatibility, analytical throughput, and metabolome/lipidome coverage. These innovations are driving the integration of metabolomics with other disciplines, providing deeper insights into cellular metabolism and system-level dynamics, and extending metabolomics research to the single-cell level.

This Special Issue aims to highlight the advances in metabolomics. We welcome submissions focusing on new techniques in sample processing, analytical methodologies, data interpretation and integration, and interdisciplinary applications across biomedical, pharmaceutical, clinical, food, agricultural, and environmental sciences. Through this collection, we hope to foster collaboration among chemists, biologists and clinicians, and to further inspire metabolomics research with broad scientific and translational impact.

Dr. Jun Han
Guest Editor

Manuscript Submission Information

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