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Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry
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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.
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Keywords
- artificial intelligence
- Biochemistry
- Biology, Life Sciences
- biomarkers
- Clustering
- coffee beans
- coffee processing
- coffee varieties
- colorectal cancer
- COVID-19
- deep learning
- EOS
- exhaled breath condensate
- health science
- human plasma
- LOS
- Machine learning
- Mathematics & science
- metabolomics
- n/a
- nanoparticles exposure
- neonatal sepsis
- NMR
- NMR metabolomics
- NMR spectroscopy
- nuclear magnetic resonance
- Nuclear magnetic resonance spectroscopy
- phenotyping
- post-harvest treatment
- Preterm Birth
- Reference, information & interdisciplinary subjects
- relapse
- Research & information: general
- Surgery
Links
DOI: 10.3390/books978-3-0365-4554-7Editions