Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry

• Other Authors: Vignoli, Alessia (Editor), Meoni, Gaia (Editor), Tenori, Leonardo (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Research & information: general; Biology, life sciences; Biochemistry; NMR metabolomics; human plasma; COVID-19; exhaled breath condensate; nanoparticles exposure; metabolomics; colorectal cancer; nuclear magnetic resonance; surgery; relapse; phenotyping; nuclear magnetic resonance spectroscopy; coffee beans; coffee processing; coffee varieties; post-harvest treatment; NMR spectroscopy; neonatal sepsis; EOS; LOS; preterm birth; NMR; biomarkers; clustering; artificial intelligence; machine learning; deep learning; health science; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

Metabolomics entails the comprehensive characterization of the ensemble of endogenous and exogenous metabolites present in a biological specimen. Metabolites represent, at the same time, the downstream output of the genome and the upstream input from various external factors, such as the environment, lifestyle, and diet. Therefore, in the last few years, metabolomic phenotyping has provided unique insights into the fundamental and molecular causes of several physiological and pathophysiological conditions. In parallel, metabolomics has been demonstrating an emerging role in monitoring the influence of different manufacturing procedures on food quality and food safety. In light of the above, this collection includes the latest research from various fields of NMR-based metabolomics applications ranging from biomedicine to data mining and food chemistry.