Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry
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...
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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Acesso em linha: | ONIX_20220812_9783036545530_27 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-91148 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-911482024-03-28T03:31:11Z Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry Vignoli, Alessia Meoni, Gaia Tenori, Leonardo 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry 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. 2022-08-12T12:45:12Z 2022-08-12T12:45:12Z 2022 book ONIX_20220812_9783036545530_27 9783036545530 9783036545547 https://directory.doabooks.org/handle/20.500.12854/91148 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5781 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-4554-7 10.3390/books978-3-0365-4554-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036545530 9783036545547 136 Basel open access |
| spellingShingle | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry |
| title | Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry |
| title_full | Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry |
| title_fullStr | Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry |
| title_full_unstemmed | Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry |
| title_short | Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry |
| title_sort | research in metabolomics via nuclear magnetic resonance spectroscopy data mining biochemistry and clinical chemistry |
| topic | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry |
| topic_facet | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry |
| url | ONIX_20220812_9783036545530_27 |