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



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Autore: Vignoli Alessia Visualizza persona
Titolo: Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry Visualizza cluster
Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica: 1 electronic resource (136 p.)
Soggetto topico: Research & information: general
Biology, life sciences
Biochemistry
Soggetto non controllato: 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
Persona (resp. second.): MeoniGaia
TenoriLeonardo
VignoliAlessia
Sommario/riassunto: 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.
Altri titoli varianti: Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy
Titolo autorizzato: Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910585936303321
Lo trovi qui: Univ. Federico II
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