NMR-Based Metabolomics of Food
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Food Metabolomics".
Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 4144
Special Issue Editors
Interests: food science; foodomics; metabolomics; nuclear magnetic resonance; nutrition and health; muscle metabolism
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Foods contain a vast amount of metabolites; approximately 25,000 metabolites originating from foods have been identified. Consequently, analyses covering a wide range of metabolites are of great interest in food and nutrition research, where we aim to decipher the links between food constituents and foods’ health-promoting potential. Additionally, in primary food production there is an utmost need for efficient analyses to explore and identify the effects of production factors, pre- and postharvest handling, and slaughter procedures on foods’ attributes. Likewise, in food processing and manufacturing, it is essential to monitor changes in the content of intrinsic metabolites or metabolites generated during processing and/or through the addition of ingredients.
Nuclear magnetic resonance (NMR) spectroscopy is the analytical technique that has grounded the metabolomics discipline. The nonselectively of 1H NMR spectroscopy makes it a unique tool for metabolomics approaches of an explorative nature. Furthermore, NMR spectroscopy has gained popularity in food science, where it finds many relevant applications for scrutinizing a variety of complex foods based on both 1H NMR spectroscopy and a variety of other nuclei, including, among others, 13C and 31P spectroscopy.
This Special Issue highlights and embraces an analysis of foods using NMR-based metabolomics techniques. Current challenges for NMR-based metabolomics studies of foods include sample preparation methodologies for solid, semisolid, and liquid phase analyses; sensitivity and dynamic range optimization; the development of strategies to overcome overlapping signals; quantification, including the development of automated processes; data handling; the development of real-time monitoring approaches; as well as development of methods for authenticity purposes.
Prof. Dr. Hanne Christine Bertram
Guest Editor
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