TY - BOOK ID - 126176921 TI - Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry AU - Vignoli, Alessia AU - Meoni, Gaia AU - Tenori, Leonardo PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Research & information: general KW - Biology, life sciences KW - Biochemistry KW - NMR metabolomics KW - human plasma KW - COVID-19 KW - exhaled breath condensate KW - nanoparticles exposure KW - metabolomics KW - colorectal cancer KW - nuclear magnetic resonance KW - surgery KW - relapse KW - phenotyping KW - nuclear magnetic resonance spectroscopy KW - coffee beans KW - coffee processing KW - coffee varieties KW - post-harvest treatment KW - NMR spectroscopy KW - neonatal sepsis KW - EOS KW - LOS KW - preterm birth KW - NMR KW - biomarkers KW - clustering KW - artificial intelligence KW - machine learning KW - deep learning KW - health science KW - n/a UR - https://www.unicat.be/uniCat?func=search&query=sysid:126176921 AB - 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. ER -