Even though metabolomics is about 20 years old, the interest in this “-omic” science is still growing, and high expectations remain in the scientific community for new practical applications in biomedicine and in the agricultural field. Thus far, biomedical metabolomic studies have produced great advancements in biomarker discovery, identification of novel metabolites, and more detailed characterization of biological pathways involved in the manifestation and progression of diseases. In parallel, metabolomics has been shown to have an emerging role in monitoring the influence of different manufacturing procedures on food quality and food safety. In light of the above, this Special Issue was introduced to collect the latest research from various application fields of NMR-based metabolomics, ranging from biomedicine to data mining and food chemistry.

Applications and Challenges for Metabolomics via Nuclear Magnetic Resonance Spectroscopy / Vignoli, Alessia; Meoni, Gaia; Tenori, Leonardo. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 12:(2022), pp. 4655-4655. [10.3390/app12094655]

Applications and Challenges for Metabolomics via Nuclear Magnetic Resonance Spectroscopy

Vignoli, Alessia
;
Meoni, Gaia
;
Tenori, Leonardo
2022

Abstract

Even though metabolomics is about 20 years old, the interest in this “-omic” science is still growing, and high expectations remain in the scientific community for new practical applications in biomedicine and in the agricultural field. Thus far, biomedical metabolomic studies have produced great advancements in biomarker discovery, identification of novel metabolites, and more detailed characterization of biological pathways involved in the manifestation and progression of diseases. In parallel, metabolomics has been shown to have an emerging role in monitoring the influence of different manufacturing procedures on food quality and food safety. In light of the above, this Special Issue was introduced to collect the latest research from various application fields of NMR-based metabolomics, ranging from biomedicine to data mining and food chemistry.
2022
12
4655
4655
Vignoli, Alessia; Meoni, Gaia; Tenori, Leonardo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1273867
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