Recent Advancements in the Application of Metabolomics in Food Science and Future Trends
摘要
In systems biology, metabolomics is a relatively young field that focusses on the high-throughput characterisation of small molecular metabolites of biological systems. It is widely used in various scientific fields, particularly in the food sector. This study examines the most popular food metabolomics analytical technologies and emphasises their relevance for food sample analysis with the use of chemometric data visualisation, with a focus on novel approaches that have emerged recently. The food metabolite classes that are prioritised by the different metabolomics platforms are compared. Applications of metabolomics are discussed in relation to food traceability, food quality safety, and food composition analysis.
Recent FindingsThe introduction and widespread use of mass spectrophotometry imaging, together with other associated technologies and tools for analysis and detection, has made metabolomics applications at the industrial level easier in recent years. Metabolomics techniques allow for a thorough analysis of the volatile chemicals' composition and concentration, which optimises food product processing and production for a more palatable final product.
SummaryMetabolomics is a relatively new discipline in systems biology that emphasizes on the high-throughput characterization of the small molecular metabolites found in biological systems. It is widely used in various scientific fields, particularly in the food sector. Food metabolomics is the application of metabolomics to human meals, food production, and food processing. Due to changing consumer behavior and the expansion of food firms globally, there is now a major increase in interest in food quality and safety. A range of technologies are needed for food processing, the food supply chain, and even plant breeding. This can be achieved by understanding the biology and composition of the metabolome of food. Moreover, food metabolomics can be used to watch the ripening process to improve crop shelf life and aesthetic appeal, find metabolites linked to pathways that cause postharvest illnesses, and see how different crop types differ and how they are similar. Metabolomics is a good fit for studying such a complicated matrix because of its enhanced detection and prediction capabilities.